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In Person

Registration

Attendance at this event is by invitation only. 
Registration is complementary (free) with your invitation.

[email protected] Executive

Travel

Venue

GES Taiwan 2026 will be held at the Junior Ballroom, 5F, Taipei Marriott Hotel, in conjunction with SEMICON Taiwan 2026.

Hotel

Taipei Marriott Hotel

SEMI has arranged a special group rate for GES attendees.

Introduction

Following the inaugural GES in Tokyo in 2025, the GES returns in 2026 as the Executive Summit on Energy and Sustainability to be held in Taipei, Taiwan, bringing together senior executives from across the semiconductor value chain to drive collective progress on the industry's most pressing energy and decarbonization challenges.

This is an invitation-only event. 

Day at a Glance

Building on the foundational commitments established at GES 2025 in Tokyo, this year's summit is structured around two sessions. All times are Taiwan Standard Time.

Morning Session (8:00 AM - 12:20 PM) + Lunch

Sponsored by Google

Face-to-face GES Executive Council (GESEC) meeting to review progress and challenges on GES 2025 calls-to-action driven initiatives and to also lay out 2027 direction.

Afternoon Session (1:30 PM - 5:30 PM) + Happy Hour and Networking

To be Sponsored by leading Taiwan and Global companies (inclusion of names pending respective branding approvals)

This impactful session establishes the context for Taiwan's energy transition and semiconductor decarbonization. By pairing government keynotes and industry presentations with a public-private panel discussion, the session aims to surface key challenges and opportunities that can shape critical topics for inclusion in future GES Executive Council (GESEC), Semiconductor Climate Consortium (SCC) and/or Energy Collaborative (EC) initiatives. 

Taipei Marriott Hotel,
Junior Ballroom, 5F (in conjunction with SEMICON Taiwan 2026)
Zhongshan District, Taipei City
Taiwan

Open to GESEC members, SCC and EC leaders, invited executives. By invitation. Not transferable.

8:00 am - 8:30 am

Arrival and Registration

8:30 am - 8:45 am
Ajit Manocha
President & CEO
SEMI
Carolin Seward
Vice President, Google
Dr. Saifi Usmani
SEMI Vice President, Sustainability

Opening Remarks

8:45 am - 9:10 am

Keynote Speaker

9:10 am - 11:30 am

Initiative-Level Reviews (break included)

11:30 am - 12:10 pm

Council Roundtable: 2027 Direction

12:10 pm - 12:20 pm

Closing: Key Themes and Next Steps

12:20 pm - 1:30 pm

Lunch

Open to GESEC members, SCC and EC leaders, and invited industry and government executives. By invitation.

1:30 pm - 2:00 pm

Arrival and Registration

2:00 pm - 2:10 pm
Terry Tsao
SEMI Taiwan President
Dr. Saifi Usmani
SEMI Vice President, Sustainability

Welcome Attendees and Introduction to Agenda

2:10 pm - 2:20 pm
Ajit Manocha
President & CEO
SEMI
Lora Ho
Consultant, Corporate Sustainability Office
TSMC

Welcome Dignitaries, Official Opening of the GES, and Group Photo

2:20 pm - 2:40 pm

MOEA Keynote on Energy

2:40 pm - 3:00 pm
Dr. Saifi Usmani
SEMI Vice President, Sustainability

GES: Addressing Emissions and Energy (SCC and EC)

3:00 pm - 3:20 pm
Speaker TBA

Energy Strategy: Key Challenges and Opportunities in Taiwan

3:20 pm - 3:35 pm

Break

3:35 pm - 3:55 pm
TSMC Leader (speaker TBA)

Energy Strategy: Semiconductor Industry in Taiwan

3:55 pm - 4:15 pm
Hyperscaler/Fabless representative

Powering Sustainable Growth: Energy and Sustainability

4:15 pm - 4:35 pm
Hyperscaler representative

Clean Electricity - Taiwan Call to Action

4:35 pm - 5:15 pm

Panel Discussion: Opportunities for Public and Private Partnership (PPP) for Energy Transition in Taiwan

Moderator: Lora Ho, Consultant, Corporate Sustainability Office, TSMC
Panelists: Government, Industry, Developer, and Finance sector representatives

5:15 pm - 5:30 pm
Ajit Manocha
President & CEO
SEMI
Lora Ho
Consultant, Corporate Sustainability Office
TSMC

Closing Remarks

5:45 pm - 7:00 pm

Happy Hour and Networking

8:00 am - 7:00 pm Off Add to Calendar 2026-09-01 08:00:00 2026-09-01 19:00:00 GES Taiwan 2026: Executive Summit on Energy and Sustainability Taipei Marriott Hotel, Junior Ballroom, 5F (in conjunction with SEMICON Taiwan 2026) Zhongshan District, Taipei City Taiwan SEMI.org [email protected] Asia/Taipei public Asia/Taipei

Contact

For inquiries, please contact David Chiang at [email protected].

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※ Early-bird Registration Deadline: July 8 (Wed), 2026, 17:00 PM (KST)  

 Early BirdOn-siteGroup
SEMI MemberKRW 308,000KRW 385,000KRW 275,000
Non-MemberKRW 363,000KRW 330,000

※ Group registration fee applies to groups of five or more from the same company.
※ For group registration inquiries, please contact SEMI Korea Program Team at [email protected].

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South Korea APS 2026 Business Technical

OVERVIEW

  • Date: July 15(Wed), 2026
  • Time: 08:30 - 17:00
  • Venue: Convention Hall 1, 3F, Suwon Convention Center
  • Language: Korean/English (Simultaneous interpretation will be provided)
  • Organizer: SEMI Korea  

 

SPONSORS

  

 

NOTICE

  • The agenda is subject to change at the discretion of the speakers.
  • Presentation files agreed by speakers will be provided to attendees after the event through SEMI registration website.

 

CONTACT

Convention Hall 1, 3F, Suwon Convention Center South Korea
South Korea

8:30 am - 9:00 am

Welcome Reception

9:00 am - 9:30 am
Greg Roh
Greg Roh
Head of Research Center
Hyundai Motor Securities

2026 Outlook for the Advanced Packaging Industry

9:30 am - 10:00 am
Chee ping Lee
Chee ping Lee
Managing Director, Strategic & Technical Marketing, Advanced Packaging
Lam Research

Making 3DIC Manufacturable for AI: From Vertical Integration to Scalable Production

As AI systems push requirements for higher bandwidth, lower power, and increased integration density, 3D integrated circuits (3DIC) are moving rapidly from development to production. However, scaling 3DIC introduces complex application challenges across the manufacturing flow, where process interactions and control become critical.
This talk examines key 3DIC applications and process challenges, including high aspect ratio TSV etch, void free TSV fill, and dielectric deposition, required for reliable wafer and die level stacking. Emerging applications such as inter die gap fill for advanced chiplets integration and plasma dicing for improved yield, edge quality, and die strength further increase integration complexity and productivity demands.
The presentation highlights Lam Research innovations across etch, deposition and clean processes that enable tighter process windows, improved uniformity, and higher throughput. In addition, equipment intelligence and data driven control are increasingly essential to enhance yield learning and manufacturing productivity. Together, these advances are enabling scalable, high volume 3DIC manufacturing for next generation AI systems.

※ Biography

10:00 am - 10:30 am
Ingu Yin Chang
Yin Chang
ASE

Advanced Packaging: Enabling AI at Scale

The future of compute will not be defined by silicon alone. As AI reshapes industries and economies, advanced packaging has become the foundation of the next era of innovation, enabling unprecedented gains in performance, efficiency, and scale. During his keynote, Yin Chang will explore how breakthroughs in heterogeneous integration, chiplets, and advanced manufacturing are transforming bold AI ambitions into deployable systems, and why AI leadership will depend not only on compute power, but on the ability to integrate and manufacture at scale.

※ Biography

10:30 am - 11:00 am
Shinji Baba
Shinji Baba
Vice President / Head of ATJ R&D Center
Amkor Japan

Advanced Power Module Packaging Technologies

The rapid electrification of automotive and industrial systems is placing increasingly stringent demands on power semiconductor devices in terms of voltage capability, thermal performance, reliability, and system integration. This presentation reviews recent trends in power devices and power module packaging technologies aimed at improving performance while addressing cost and manufacturability constraints.
First, the fundamental differences between digital and power devices are outlined, followed by an overview of power device applications based on silicon (Si), silicon carbide (SiC), and gallium nitride (GaN) technologies, together with Amkor’s product portfolio.
Next, power module packaging technologies are discussed with a focus on key electrical and thermal challenges. Representative solutions, including advanced interconnects, cooling architectures, and embedded power modules, are introduced, along with a brief overview of Amkor’s technology roadmap.
Finally, the role of the Amkor Technology Japan R&D Center in supporting open innovation and global collaboration is briefly discussed.

※ Biography

11:00 am - 11:20 am

Networking Break

11:20 am - 12:30 pm

Panel Discussion

12:30 pm - 1:30 pm

Lunch

1:30 pm - 2:00 pm
minwoo rhee
Minwoo Lee
Master
Samsung Electronics

Advanced Packaging Technology for AI/HPC

The presentation explores advanced packaging technologies designed to meet the escalating performance and power efficiency demands of AI and High-Performance Computing (HPC). To overcome the limitations of traditional semiconductor architectures, System Technology Co-Optimization (STCO) is introduced as a critical framework for managing thermal crosstalk and enhancing heterogeneous integration. The discussion highlights key innovations, including Customized HBM (cHBM) for optimized base-die performance and Samsung's 2.xD packaging portfolio, which encompasses Cube S, Cube E, and Cube R. Specifically, the 2.3D Cube E leverages panel level packaging to enable larger interposers and increased HBM integration, significantly improving productivity and reducing silicon fab burdens. The technical achievements in PLP—such as precise warpage control and the realization of fine RDL patterns (2/2μm)—are detailed to demonstrate their viability for large-scale AI chips. Furthermore, the roadmap extends toward 3D integration and Co-Packaged Optics (CPO) to maximize bandwidth and energy efficiency. Finally, the importance of an ecosystem-wide collaboration is emphasized as the driver for future innovation in "More than Moore" technology. These advancements collectively provide a scalable path toward the next generation of AI hardware acceleration.

※ Biography

2:00 pm - 2:30 pm
YASUSHI ARAKI
Yasushi Araki
Corporate Officer, GM(General Manager) of R&D Div.
SHINKO ELECTRIC INDUSTRIES

Latest Development Status of Glass Core Build-up Substrate

Glass core substrates exhibit low CTE and significantly higher rigidity than conventional organic substrates and are therefore regarded as promising core materials for next-generation build-up packages. However, a major challenge lies in the occurrence of SeWaRe defects (delamination in glass), which arise from thermal stresses induced by the mismatch in the coefficients of thermal expansion (CTE) between the glass material and the build-up resin.
To mitigate this issue, we proposed a structure in which the corner regions of each individual piece are formed from resin. However, considering the thermal history during chip mounting, it became evident that the suppression effect was insufficient. Therefore, an edge‑protection material was applied to relieve the stress concentrated at the edges of each individual piece. As a result, it was confirmed that SeWaRe defects could be effectively suppressed even under thermal loading.
Through these efforts, we successfully developed a glass core build-up package substrate incorporating 11 layers of single‑sided copper wiring (22 layers in total).

※ Biography

2:30 pm - 3:00 pm
Sandeep Sane
Sandeep Sane
Vice President
Lightmatter

Beyond Moore's Law: How Silicon Photonics and Advanced Packaging Are Redefining HPC

AI and data-intensive workloads are outpacing what conventional semiconductor technology can deliver. Two innovations are stepping in to close the gap: Silicon Photonics, which brings optical-speed, low-power data transmission into the data center, and Advanced Packaging, which uses chiplets and 2.5D/3D integration to maximize performance and efficiency at the chip level.
This talk examines how these complementary technologies are reshaping HPC architecture—covering their current state, how they work in tandem, and the key technical and commercial barriers to large-scale adoption.

※ Biography

3:00 pm - 3:30 pm
Amit Oren
Amit Oren
Director CPO Packaging
NVIDIA

CPO Packaging: Challenges and Opportunities

Co-packaged optics (CPO) is emerging as a key enabler for scaling bandwidth while containing power and cost in next-generation AI and cloud infrastructure. By moving optical engines closer to the switch ASIC and shortening high-speed electrical reaches, CPO can reduce SerDes power, ease signal-integrity constraints, and increase overall front-panel bandwidth density. However, delivering these benefits at volume requires new approaches across package architecture, manufacturing, and system integration.
This presentation reviews the main packaging challenges that must be solved to industrialize CPO, including thermal management and heat spreading near high-power silicon, fiber attach and optical alignment tolerances, photonics/laser integration choices, high-density optical and electrical I/O, substrate and interposer selection, and reliability risks such as warpage, CTE mismatch, and contamination control. Test and rework strategy, yield learning, and supply-chain readiness (materials, assembly, and metrology) are highlighted as practical barriers to adoption.
The talk also outlines opportunities created by CPO packaging innovations—such as modular optical tiles, standardized fiber interfaces, advanced lid/heat-sink concepts, and co-design of electrical, mechanical, and optical domains—to unlock higher radix switches and lower system power. Attendees will leave with a structured view of technology tradeoffs, a roadmap of near-term versus long-term packaging options, and actionable considerations for bringing CPO from prototypes to deployable products.

※ Biography

3:30 pm - 3:50 pm

Networking Break

3:50 pm - 5:00 pm

Panel Discussion

Advanced Packaging Summit 2026, under the theme “Packaging the Future of AI – From Silicon to Photon,” will examine the evolution of packaging technologies in the AI era and their broader implications for the semiconductor industry. Featuring presentations by leading industry experts, the summit will explore market shifts driven by the growing demand for AI semiconductors, along with key technologies enabling advanced packaging. The program will also highlight the innovation journey from silicon-based integration technologies to photonics-based interconnects, which are essential to enhancing packaging productivity and scalability. Panel discussions in each session will further provide opportunities to exchange insights on real-world applications, technical challenges, and possibilities for cross-industry collaboration, while exploring new business opportunities and strategic perspectives created by advanced packaging technologies in the AI era.

8:30 am - 5:00 pm Off Add to Calendar 2026-07-15 08:30:00 2026-07-15 17:00:00 ADVANCED PACKAGING SUMMIT 2026 Advanced Packaging Summit 2026, under the theme “Packaging the Future of AI – From Silicon to Photon,” will examine the evolution of packaging technologies in the AI era and their broader implications for the semiconductor industry. Featuring presentations by leading industry experts, the summit will explore market shifts driven by the growing demand for AI semiconductors, along with key technologies enabling advanced packaging. The program will also highlight the innovation journey from silicon-based integration technologies to photonics-based interconnects, which are essential to enhancing packaging productivity and scalability. Panel discussions in each session will further provide opportunities to exchange insights on real-world applications, technical challenges, and possibilities for cross-industry collaboration, while exploring new business opportunities and strategic perspectives created by advanced packaging technologies in the AI era. Convention Hall 1, 3F, Suwon Convention Center South Korea South Korea SEMI.org [email protected] Asia/Seoul public Asia/Seoul
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Embassy Suites by Hilton Milpitas Silicon Valley

901 East Calaveras Boulevard

Milpitas, CA 95035

(408) 942-0400

 

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Milpitas, CA 95035

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Event Sponsors

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Enhance your brand with our exclusive sponsorship packages. For details, contact:

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Email: [email protected]

Highlighted content

AI Techniques in Semiconductor Manufacturing

Core Objectives:

This workshop is designed to help participants understand:

  • The real-world deployment, impact, and lessons learned from AI techniques

  • Strategies for building observable and scalable multi-agent workflows

  • The industry transition from restrictive data silos toward autonomous discovery.

  • Methods for achieving tangible business results and automation through diverse AI applications 

We’ve curated a technical agenda featuring Topics such as:

  • Agentic AI

  • Gaussian Process Regression

  • Time Series Modeling

  • Bayesian Optimization

  • And more...

You will walk away with actionable insights on:

  • Yield Enhancement through Edge-Driven Defect Detection and Classification
    • Demonstrates how edge AI leverages real-time sensor and image data—through virtual metrology, anomaly detection, and SPC-integrated feedback loops—to enable early defect detection, classification, and yield optimization.
  • From Prediction to Action: Causal AI for Real-Time Root-Cause Analysis in Semiconductor Manufacturing
    • How causal AI unifies multi-modal fab data into an intelligence layer to move beyond predictive alerts toward rapid root cause identification, prescriptive actions, and continuous improvement—significantly reducing RCA time and improving yield and operational efficiency.

  • From Data Silos to Autonomous Discovery: Agentic AI in Semiconductors
    • Agentic AI in semiconductor workflows as autonomous, decision-making systems (beyond RAG) that orchestrate multi-agent reasoning across complex fab data—requiring robust data foundations, domain-grounded algorithms, SME-driven knowledge (including reasoning traces), and structured evaluation frameworks (agentic harness) to ensure reliable, scalable deployment.

  • Making Sense of Equipment TimeSeries Data: From Signals to Insight
    • Introduces how semiconductor equipment time-series data (sensor signals, traces, run-to-run data) can be processed and modeled to uncover equipment behavior over time, enabling engineers to detect drift, changes, and anomalies for improved monitoring and troubleshooting.
  • Achieving Business Results from Air-gapped Agentic AI Automation in Semiconductor Manufacturing - Lessons from the Field
    • Highlights real-world deployment of agentic AI in fabs, demonstrating how autonomous systems are driving yield, capacity, and operational gains across engineering workflows (FDC, yield, test, maintenance) while navigating constraints like data privacy and legacy integration—along with practical adoption strategies and hands-on use cases.
  • And more...

 

SEMI HQ
673 S Milpitas Blvd.
Milpitas, CA 95035
United States

Morning, Day 1: August 5th, 2026

9:00 am - 10:30 am
Surya Kalidindi
Multiscale

Emergent AI/ML Tools for Semiconductor Manufacturing Technology Optimization

Semiconductor manufacturing faces a broad set of complex challenges addressed through Yield Management Systems (YMS), Fault Detection and Classification (FDC), Run-to-Run (R2R) control, Design of Experiments (DOE), and Statistical Process Control (SPC). Existing machine learning approaches are predominantly scoped to individual process steps or short loops, leaving full-traveler analysis — essential for informed tool decisions such as hold, parameter adjustment, and recipe modification — largely unaddressed. Bespoke, step-specific models do not generalize across process nodes or design variants, and manually configuring analytical workflows for each new use case is time-intensive and error-prone as technology nodes diversify. General-purpose coding agents built on large language models (LLMs) partially close this gap by automating workflow generation, but they lack the semiconductor-specific domain knowledge required for robust, production-grade solutions: open-source ML packages carry no fab context, and proprietary data curation and signal-processing conventions are rarely captured in public training corpora.

This session shows how a fab-aware agentic approach closes that gap, focusing on three use cases: YMS, FDC, and Process DOE. It opens with a technical primer built on a common pipeline — preprocessing and feature reduction, uncertainty-aware imputation, regime-aware modeling (physics and virtual-metrology priors when data is scarce, data-driven as it grows), and interpretable attribution rather than black-box scores — instantiated differently across the three, with emphasis throughout on when a result can be trusted. YMS downselects high-dimensional metrology, imputes sparse measurements, and trains a tuned regressor ensemble (GPR, gradient-boosted trees, neural nets), with feature attribution (SHAP) mapped to process step and tool. FDC aligns traces, then layers univariate control limits (SPC) with multivariate anomaly detection (PCA, Hotelling T², MEWMA), per-sensor attribution, and alarm-budgeted limits that transfer across chambers. Process DOE designs experiments, fits uncertainty-aware surrogates (Gaussian processes), reduces dimensionality (PCA), and selects runs sequentially (single- and multi-objective Bayesian optimization). Attendees then see these techniques operationalized live by a domain-specific agentic platform and work directly with the agents on curated datasets.

By the end, attendees will understand how problem formulation, data characteristics, and method selection shape outcomes, and what distinguishes a domain-aware agentic workflow from a general-purpose coding agent. The session is interactive by design — participant choices steer the live analysis, and attendee input shapes how these capabilities evolve.

10:30 am - 11:00 am
Maryia Kurdina
AI R&D Group Leader
TEL and AI Design (TTAD)

Real-Time Equipment Health Monitoring Using Gaussian Process Regression on Sensor Signals

Will present a real-time health monitoring method for semiconductor equipment using multi-sensor time-series signals. From a small set of baseline runs (typically 5–20), Gaussian Process Regression is used to learn expected sensor behavior and associated confidence bands over repeatable operating segments. At runtime, deviations from these bands are aggregated into health scores per sensor and segment to identify abnormal behavior early. The system automatically reports anomalies and raises warnings to support proactive maintenance and reduce unplanned downtime and quality risk. To address the O(N^3) training cost of standard GPR, we use a split-training approach that achieves linear scaling, keeping computation practical for production use.​

11:00 am - 11:20 am

Break

11:20 am - 12:20 pm
Viraj Modak, Aditi Gautam, Saira Qureshi
Nvidia

Predict Before Failure: A Predictive Maintenance Blueprint with NV-Tesseract and NeMoClaw

Semiconductor fabs generate high-volume, multivariate sensor telemetry from process tools, ambient monitoring systems, sub-fab equipment, etc. Scheduling maintenance operations depends on more than just reacting to alarms/alerts: teams need to forecast how equipment will behave and detect abnormal trajectories/baseline shifts before failures occur.​

This session introduces an open Predictive Maintenance Blueprint that embeds NV-Tesseract as the core time series AI component. The pipeline performs multivariate forecasting on equipment sensor data, then runs diffusion-based anomaly detection on the forecasted window to flag emerging degradation patterns. ​

The blueprint is packaged as a reusable, deployable workflow with Hugging Face weight retrieval, configurable sensor channels, and structured outputs for downstream automation.​

We extend this blueprint with NVIDIA NeMoClaw, treating predictive maintenance as an always-on agent workflow: an autonomous agent ingests sensor streams, invokes the NV-Tesseract pipeline, interprets anomaly scores, and produces operator-ready summaries and recommended actions under OpenShell runtime guardrails. ​

Together, this shows how foundational time series models and agent orchestration can be coupled to build a production-style Predictive Maintenance stack for semiconductor operations.​

What the Audience Will Learn​:
Predictive maintenance is shifting from threshold-based SCADA alarms to forecast-then-detect workflows that catch drift earlier on multivariate equipment signatures.​

Foundational time series models (like NV-Tesseract) are increasingly deployed as components inside larger agent systems, not as standalone notebooks.​

Semiconductor and industrial teams are adopting blueprint + agent patterns (similar to NeMoClaw deployments in EDA, simulation, and factory ops) to move from prototype to governed, repeatable workflows.​

Practical lessons: multivariate sensor alignment matters; model weights and configs should be versioned and auto-retrieved; anomaly outputs must be explainable enough for maintenance engineers to trust and act on.​

Architecture takeaways:​
When to use multivariate forecasting vs. single-signal monitoring.​

Why diffusion-based anomaly detection fits correlated, high-dimensional fab sensor data better than univariate reconstruction approaches.​

How NeMoClaw can orchestrate the pipeline: data ingest → inference → thresholding → alert routing → human-in-the-loop review.

12:20 pm - 12:50 pm
Sean Tropsa & Kyle Clark
SEEQ

Practical Agentic AI at Scale for Manufacturing: Lessons Learned from Large-Scale Deployments​

Agentic AI is nearing mainstream adoption, yet many organizations still lack a clear strategy for deployments at scale. In order to bring LLM capabilities to manufacturing, companies need to go beyond what mainstream AI suppliers can deliver; they need AI deployments to be governed, reliable, repeatable, and scalable enough to earn trust and deliver measurable results. Most importantly, it must be grounded in and continuously integrate the knowledge of subject matter experts who understand the complexity of real systems and processes.​


In this session, we will share lessons learned from deploying large-scale agentic AI solutions in the semiconductor industry. We will explore how SME expertise and operational context can be embedded into Agentic AI systems to create trusted, high-value results. Specifically, we will show how an auto-Triage/RCA a Facilities Anomaly event workflow can be set up such that, as the event triggers, an AI agents completes a first pass investigation that is ready for consumption by the end user shortly after an event triggers with an optional integration with CMMS systems to ease the creation of a work order to drive faster time to resolution and greater consistency in event disposition. We will also demonstrate how engineers can build custom apps and AI agents on demand, without requiring an AI specialist or extensive coding skills, while maintaining the structure and scalability needed for enterprise adoption. Attendees will leave with practical insights for enabling better, faster decisions across engineering, technician, and operator workflows.

12:50 pm - 2:00 pm

Lunch

Afternoon, Day 1: August 5th, 2026

2:00 pm - 3:00 pm
Steven Sheets
Lam Research

Human-Machine Collaboration for Improving Semiconductor Process Development

One of the bottlenecks to building semiconductor chips is the increasing cost required to develop chemical plasma processes that form the transistors and memory storage cells1,2. These processes are still developed manually using highly trained engineers searching for a combination of tool parameters that produces an acceptable result on the silicon wafer3. The challenge for computer algorithms is the availability of limited experimental data owing to the high cost of acquisition, making it difficult to form a predictive model with accuracy to the atomic scale. Here we study Bayesian optimization algorithms to investigate how artificial intelligence (AI) might decrease the cost of developing complex semiconductor chip processes. In particular, we create a controlled virtual process game to systematically benchmark the performance of humans and computers for the design of a semiconductor fabrication process. We find that human engineers excel in the early stages of development, whereas the algorithms are far more cost-efficient near the tight tolerances of the target. Furthermore, we show that a strategy using both human designers with high expertise and algorithms in a human first–computer last strategy can reduce the cost-to-target by half compared with only human designers. Finally, we highlight cultural challenges in partnering humans with computers that need to be addressed when introducing artificial intelligence in developing semiconductor processes.​

What the Audience will Learn:
How Bayesian optimization can help enhance speed-to-solution for semiconductor manufacturing.

3:00 pm - 3:20 pm

Break

3:20 pm - 5:20 pm
Sainyam Galhotra
Third AI Automation

From Prediction to Action: Causal AI for Real-Time Root-Cause Analysis in Semiconductor Manufacturing

Semiconductor fabs generate massive volumes of data across tools, sensors, inspection systems, and process logs—yet most AI deployments remain predictive, identifying anomalies without explaining their root cause. This results in prolonged root cause analysis (RCA), costly downtime, and repeated trial-and-error fixes.​

In this talk, we present a practical approach to moving from prediction to action using causal AI. By unifying multi-modal data like images, time-series signals, and process metadata into a single intelligence layer, we enable systems that reason about cause-and-effect relationships rather than correlations.​

We will discuss how such systems can be trained efficiently using weak supervision and deployed at the edge to meet latency, privacy, and reliability requirements. We also highlight how continuous monitoring and model refinement in production ensure sustained performance in dynamic manufacturing environments.​

Drawing from real-world deployments, we show how this approach reduces RCA time from hours to minutes, improves diagnostic accuracy, and enables prescriptive actions for faster yield recovery and improved operational efficiency.​

What the Audience will Learn:​
1. Why predictive AI falls short for RCA and how causal AI bridges the gap​
2. How to build an “intelligence layer” on top of MES and traceability systems​
3. Practical methods for leveraging limited labeled data ​
4. How to integrate multi-modal data (inspection images + sensor logs + process flows)​
5. How to build AI agents that improve with more data​

How this AI technique is being used in industry today (real deployments, lessons learned, impact): In semiconductor manufacturing environments, causal AI systems are being deployed alongside existing inspection and MES infrastructure to accelerate and improve root cause analysis.​

In one deployment, defect patterns observed across multiple inspection stages were correlated with tool-level and process metadata. Instead of manual investigation across dozens of steps, the system identified a specific tool-stage interaction responsible for recurring defects. This reduced RCA time from 20–40 hours to under 10 minutes while improving diagnostic consistency.​

Demo: Yes​

Hands-on Session:
Yes,​ Applying weak supervision to label defect data with minimal manual effort​
Interpreting causal relationships across process steps​
Monitoring and updating models in a production-like setting​

5:20 pm - 7:20 pm

Reception

Morning, Day 2: August 6th, 2026

9:00 am - 10:00 am
Akhilesh Kumar​ ​
Synopsys/ANSYS

Get More from Your Sign-off Flow: Agentic AI That Makes Power & Signal Integrity Engineers Radically More Productive

Agentic AI is moving from research demos to production EDA flows, and the leverage is very clear in power and signal integrity sign-off, where engineers routinely write 1000+-API Python scripts, search for root causes through ~100 GB log files, and stitch results across half a dozen vendor tools. This talk presents our experiences with building, shipping, and supporting a multi-agent system for a production sign-off tool used on modern VLSI and 3DIC designs — covering what it took to move from a single LLM "wrapper" to a hardened agentic system that customers can actually trust with their IP.​

We will walk through the full stack: a multi-agent architecture (code-generation, log-debug, RCA/diagnostics) built on a Deep-Agent framework; an Agent Skills pattern that makes diagnostic workflows modular, composable, and customer-extensible; MCP used in both directions (the Copilot consumes vector-DB and API knowledge as MCP, and the tool itself is exposed as an MCP server so other EDA agents and customer orchestrators can drive it); and a governance layer covering tiered action approval, API-hallucination guards, prompt sanitization, audit trails, and on-premise / air-gapped local-LLM deployment. We will close on the next frontier: cross-vendor agent-to-agent flows, for example, place-and-route → parasitic extraction → power integrity → timing — orchestrated through MCP, with humans setting policy at well-defined checkpoints rather than copy-pasting between tools.​

The session is built for practitioners. A curated set of short demo videos recorded from real Agentic AI sessions on representative designs showing the agent generate scripts and run a multi-step RCA end-to-end, with explanations on what is happening under the hood at each step.​

What the Audience Will Learn​:
1. Reference architecture for a production EDA Copilot: Multi-agent decomposition (code-gen, log-debug, RCA), RAG over manuals/API catalogs, and tool execution inside the host EDA product.​
2. The Agent Skills pattern for RCA / diagnostics: Composable Agent Skills (IR-drop RCA, anomaly detection, comparative run analysis) the orchestrator plans over and that customers can extend without touching the core.​
3. MCP as a two-way integration framework: Consuming knowledge and tool capabilities as MCP and exposing the EDA tool itself as an MCP server so customer or partner agents can drive it.​
4. Governance and guardrails for production: Tiered action approval, API-validation against the catalog to block hallucinations, prompt sanitization for IP, audit trails, and runaway controls.​
5. A practical LLM strategy: Cloud frontier models, qualified open-weight local LLMs for air-gapped customers, and distillation + RL fine-tuning strategies with LLM-as-judge and production feedback.​
6. The feedback flywheel: What to instrument to drive weekly prompt fixes, monthly workflow updates, and quarterly model improvements.​
7. Cross-vendor agentic flows: Sequential chaining, parallel fan-out, and iterative loops across EDA tools over MCP.​

How This AI Technique Is Being Used in Industry Today​

The Copilot is a shipped, per-user binary that launches alongside a production sign-off tool, attaches to the user's interactive session, and runs entirely on customer infrastructure (cloud LLM or fully on-premise).​

Demo Session: Curated Videos (20 min)​

Rather than a live hands-on segment, the demo is a curated set of short, pre-recorded clips captured from real Copilot sessions on representative designs. This keeps the demonstration crisp and reproducible, and the speaker narrates each clip — calling out which agent, skill, or MCP call is firing and why.​

10:00 am - 10:20 am

Break

10:20 am - 11:20 am
Abhinav Kumar
Applied Materials

From Data Silos to Autonomous Discovery: Agentic AI in Semiconductors

Semiconductor manufacturing is increasingly challenged not by the availability of data, but by the difficulty of integrating and reasoning across fragmented, heterogeneous information sources spanning process data, metrology, and engineering knowledge. This session introduces a practical, system-level perspective on building agentic AI capabilities for semiconductor applications, beginning with foundational considerations in data definition, representation, and consistency across structured and unstructured domains.​

The discussion focuses on how these foundations enable a transition from isolated analytics toward more integrated, decision-oriented systems. Architectural patterns are explored for combining data-driven models, simulation, and domain knowledge into cohesive workflows, with emphasis on reliable orchestration, traceability of reasoning, and appropriate human oversight—elements that are critical for deploying AI in high-stakes manufacturing environments.​

The session concludes with an overview of how emerging approaches are extending these ideas toward more adaptive and semi-autonomous optimization systems. Attendees will gain a structured view of the end-to-end stack—from data preparation to decision support—and practical insights into considerations for adopting agentic AI methodologies in semiconductor manufacturing settings.

11:20 am - 11:30 am

Sponsor

11:30 am - 12:30 pm

Lunch

Afternoon, Day 2: August 6th, 2026

12:30 pm - 2:00 pm
Garima Sharma
Mathworks

Making Sense of Equipment Time‑Series Data: From Signals to Insight

Modern semiconductor equipment generates vast amounts of time-series and inspection data, but much of it remains under-utilized. This session presents a practical, end-to-end workflow—from data preparation and AI modeling (including anomaly, defect, and drift detection) to validation and deployment—using familiar manufacturing data. It also highlights how synthetic data and generative AI can accelerate model development while maintaining robust validation and engineering control.​​

What the Audience will Learn:​
Attendees will learn how to turn equipment data into actionable insights using an end-to-end AI workflow—from data preparation to deployment. They will also see how multiple AI approaches, synthetic data, and generative AI can accelerate development while maintaining rigorous engineering validation.​

Demo / Hands-on Session: Yes

2:00 pm - 2:15 pm

Break

2:15 pm - 3:45 pm
Jon Herlocker
Cohu

Achieving Business Results from Air-gapped Agentic AI Automation in Semiconductor Manufacturing - Lessons from the Field

Agentic AI has crossed a capability line where it can now effectively automate non-trivial portions of work that previously was only done by factory engineers - process engineers, yield engineers, test engineers, maintenance engineers. At Cohu, we have been working closely every week with our customers to roll out agentic capabilities that are leading to significant automation, yield, and capacity improvements. Along the way, we have needed to overcome significant constraints - such as prohibitions on providing sensitive process data to cloud AI providers - and had to manage the more complicated issue of integrating agentic AI into legacy systems and processes. In this talk I can share some of ways that our customers are benefiting from agentic AI and talk about some of the learnings gained through these various deployments. ​

What the Audience will Learn:​
Key learnings for the audience a) real use cases of agentic AI in global semiconductor manufacturing companies; b) practical recommendations for how to prepare for and be successful with the deployment of agentic AI in semiconductor manufacturing. ​

Demo:​
FDC model creation, and fault analytics​
Yield analytics​
Tester Operations Management​
Test Engineering - lot disposition analytics ​
Maintenance optimization and predictive maintenance​
Line support optimization

- Smart MFG

 

The SEMI Smart Manufacturing Initiative is hosting a two-day workshop titled "AI Techniques in Semiconductor Manufacturing" at SEMI HQ in Milpitas, CA, on August 5–6, 2026. This event is part of a continuing series focused on integrating advanced AI into the semiconductor landscape. The workshop is designed to help participants understand: The real-world deployment, impact, and lessons learned from AI techniques. Strategies for building observable and scalable multi-agent workflows. The industry transition from restrictive data silos toward autonomous discovery. Methods for achieving tangible business results and automation through diverse AI applications.

8:00 am - 5:00 pm Off Add to Calendar 2026-08-05 08:00:00 2026-08-06 17:00:00 AI Techniques in Semiconductor Manufacturing  The SEMI Smart Manufacturing Initiative is hosting a two-day workshop titled "AI Techniques in Semiconductor Manufacturing" at SEMI HQ in Milpitas, CA, on August 5–6, 2026. This event is part of a continuing series focused on integrating advanced AI into the semiconductor landscape. The workshop is designed to help participants understand: The real-world deployment, impact, and lessons learned from AI techniques. Strategies for building observable and scalable multi-agent workflows. The industry transition from restrictive data silos toward autonomous discovery. Methods for achieving tangible business results and automation through diverse AI applications. SEMI HQ 673 S Milpitas Blvd. Milpitas, CA 95035 United States SEMI.org [email protected] America/Los_Angeles public America/Los_Angeles Register Now
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  • SEMI Member:  $249

  • Non-Members:  $349

 

Cancellation Policy:

Cancellation request received on or before August 12 will be eligible for a refund. After this date, only substitutions will be accepted.  Please email your cancellation request to Agnes Cobar at [email protected]. Substitutions will only be accepted with written permission from the originally registered attendee.

For questions, please contact Pushkar Apte at [email protected]

+
United States FOC 2026 Tile Business Executive Technical

Artificial intelligence (AI) continues to grow rapidly, driving unprecedented transformation. And for all the hype, the best is yet to come! But AI's energy footprint is growing rapidly and the global “data center gold rush” is already straining energy grids and natural resources around the world. This is a formidable challenge that cannot be ignored.

For industry, this is a strategic business imperative. AI access costs are mounting, and there is increasing stakeholder pressure to show ROI on AI investments. Competitive advantage derives from running AI systems as efficiently as possible, maximizing performance and minimizing energy consumption. And for the next big application of physical AI, efficiency becomes absolutely critical.

No entity can address this alone. The SEMI Smart Data-AI Initiative has been working to build a meaningful collaboration across the entire AI ecosystem to “bend the curve.” In this workshop, together with our alliance partner San Jose, we bring together distinguished leaders across the spectrum to share insights and chart the future course. Please join us at this exciting interactive event.

Mexican Heritage Plaza
1700 Alum Rock Ave
San Jose, CA 95116
United States

Registration

8:00 am - 9:00 am

Registration, Coffee/Tea + Pastries

9:00 am - 9:05 am
pushkar apte
Pushkar Apte
Global Lead for Smart Data-AI Initiative
SEMI

Opening Remarks: Welcome

Workshop opening and introduction

9:05 am - 9:15 am
Ajit Stage
Ajit Manocha
Presiddent & CEO
SEMI

Opening Remarks: SEMI

Overview of SEMI and Strategic Direction

9:15 am - 9:25 am
Jen Baker
Jen Baker
Director, Economic Development & Cultural Affairs
City of San Jose

Opening Remarks: City of San Jose

Innovating Together: Public-Private Sector Synergies

9:25 am - 9:45 am
Trelynd Bradley
Trelynd Bradley
Deputy Director, Innovation & Emerging Technologies
Governors Office

Keynote: State of California

From AI to Quantum, the Future is Now in California

9:45 am - 10:05 am
David Fried, Lam Research
David Fried
Chief AI Officer & Corporate VP
Lam Research

Keynote: Lam Research

10:05 am - 10:25 am
Mahmut Sinangil
Dr. Mahmut Ersin Sinangil
Distinguished Research Scientist
NVIDIA

Keynote: NVIDIA

From Watts to Intelligence: Building the Efficient AI Factory

10:25 am - 10:45 am
Yvonne Ferrier headshot
Yvonne Ferrier
Associate Principal
McKinsey & Co

Keynote: McKinsey & Co

Unlocking Efficient AI Inference at Scale

Break

10:45 am - 11:05 am

Networking Coffee Break

11:05 am - 11:10 am
Gity Samadi
Gity Samadi
Sr. Director R&D Programs
SEMI

Session Introduction: SEMI

11:10 am - 11:30 am
Vikrant Lal
Vikrant Lal
Fellow
Optical Networks Division

Session Keynote: Nokia

At the Intersection of Photonics Innovation and AI's Energy Challenge

11:30 am - 12:15 pm

Panel Discussion

Chair, Gity Samadi
• Nokia – Vikrant Lal
• Aeluma - Jonathan Klamkin, CEO
• Avicena – Nigel Alvares, VP of Product & Marketing
• Veeco – Peter Porshnev, CTO
• ASE - Speaker TBD

Networking Break

12:15 pm - 1:30 pm

Lunch

1:30 pm - 1:40 pm
Melissa
Melissa Grupen-Shemansky
VP & CTO
SEMI

Introduction to SEMI Technology Coalitions and Afternoon Sessions

1:40 pm - 2:00 pm
Christopher wellise
Christopher Wellise (CW)
VP-Sustainability
Equinix

Session Keynote: Equinix

2:00 pm - 2:10 pm
Sundeep Bajikar_Applied Materials
Sundeep Bajikar
CVP Corporate Strategy & Marketing
Applied Materials

Panel Introduction: Applied Materials

Chip-to-Grid

2:10 pm - 3:00 pm

Panel Discussion

Chair, Sundeep Bajikar
• Equinix - Christopher Wellise (CW), VP of Sustainability
• City of San Jose - Erica Garaffo, Strategic Energy Customer Development Lead
• PG&E - Karen Khamou Ornelas, Senior Director of Data Center & Technology Growth
• Deloitte Consulting - Craig Lobdell, Senior Manager, Strategy, Growth, and Transformation

Networking Break

3:00 pm - 3:20 pm

Coffee Break

3:20 pm - 3:40 pm
Nuwan Jayasena
Nuwan Jayasena
Fellow
AMD

Session Keynote: AMD

Managing Memory Architecture

3:40 pm - 4:00 pm
Cliff Young
Cliff Young
TPU & Anton Architect, MLPerf co-founder
Google

Session Keynote: Google

Bounded Revolutionary Jumps

4:00 pm - 4:45 pm

Panel Discussion

Chair, Pushkar Apte
• Google – Cliff Young
• AMD – Nuwan Jayasena
• SK Hynix – John Kim
• Siemens/Mentor – Mark Malinoski, Solutions Director, Digital Transformation Engg.
• Qualcomm - Vinish Sukumar, VP & AI Product Mgmt Head

4:45 pm - 5:00 pm

Wrap-up & Next Steps

5:00 pm - 6:30 pm

Reception

Smart Data & AI 8:00 am - 6:45 pm Off Add to Calendar Disabled America/Los_Angeles

Alliance Partner

City of San Jose Tile

The SEMI Smart Data-AI Initiative is organizing this workshop with our Alliance Partner, the City of San Jose. We are uniting the entire AI ecosystem including devices, materials, packaging, photonics, quantum, architectures and algorithms. Please join us in this exciting interactive workshop.

City of San Jose Tile
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Yashobhoomi
Delhi
India

- APHI CAST EHS NBMC SCM Smart MFG Smart Mobility Smart MedTech Smart Data & AI SMG Sustainability EMG ESD Alliance FlexTech FOA ITL MSIG SCIS SE&A SiPAT SOI Standards Workforce Development Off Add to Calendar 2026-09-17 00:00:00 2026-09-19 00:00:00 SEMICON India 2026 Yashobhoomi Delhi India SEMI.org [email protected] America/Los_Angeles public
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2025_MedTech_photo1

Regular Pricing
$249 Members
$349 Non-Members

Cancellation Policy

Cancellations received on or before July 27, 2026, are fully refunded with a $50 processing fee. Refunds will not be issued for cancellations (including no-shows) made after July 27, 2026, and only substitutions are accepted with a written note from the registered attendee. Please email your cancellations or substitutions on company letterhead to [email protected].

2025_MedTech_photo1
United States Smart Medtech Summit 2026 Technical
GlobalFoundries
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SEMI Headquarters
673 S. Milpitas Boulevard
Milpitas, CA 95035
United States

Breakfast & Registration

8:00 am - 9:00 am

Breakfast & Registration

Strategic Outlook

9:00 am - 9:15 am
Ajit_circle_photo-v2.png
Ajit Manocha
CEO
SEMI

Welcome Address

SEMI Perspective

9:15 am - 9:30 am
Mike Hogan Tile
Michael Hogan
Chief Strategy Officer
GlobalFoundries

Welcome from GlobalFoundries

9:30 am - 9:50 am

Keynote

TBD

9:50 am - 10:05 am
Derrick
Derrick Kikker
McKinsey & Company

Market Update: McKinsey & Company

Networking

10:05 am - 10:30 am

Break

Integration

10:30 am - 10:50 am
Lea Drye
Lea Drye
Epidemiologist, Center for Devices and Radiology
FDA

FDA: Presentation

10:50 am - 11:05 am
Joshua De Souz Headshot
Joshua De Souza
Senior Principal Scientist
Medtronic

From Integration to Intervention: The Whole is Greater than the Sum of its Parts

11:05 am - 11:20 am
Paru Deshpande
Paru Deshpande
VP Health Technologies
IMEC

Bioconvergence: How Semiconductor Innovation is Shaping the Future of Healthcare

11:20 am - 12:00 pm

Panel Discussion

Networking

12:00 pm - 1:00 pm

Lunch

Innovation

1:00 pm - 1:20 pm
Ahmed Bahai
Ahmed Bahai
Chief Technology Officer
Texas Instruments

Presentation: Texas Instruments

1:20 pm - 1:35 pm
Pieris Berreitter
Pieris Berreitter
Director of Engineering
HP

Inference on the Edge: The Next Generation of Wearable Silicon for Healthtech

1:35 pm - 1:50 pm
Mauro Ferrari headshot 2026
Mauro Ferrari
Chief Executive Officer
BrYet

Microfabbed Silicon as a (Transformational) Pharmaceutical Material

1:50 pm - 2:30 pm

Panel Discussion

Networking

2:30 pm - 2:45 pm

Break

Innovation

2:45 pm - 3:00 pm
Gregg Bartlett headshot 2026
Gregg Bartlett
Chief Technology Officer
GlobalFoundries

Presentation: GlobalFoundries

3:00 pm - 3:15 pm
Bharath Rajagopalan, STMicroelectronics
Bharath Rajagopalan
Director of Strategic Marketing
STMicroelectronics

Semiconductor Innovations Enabling the Future of Healthcare

3:15 pm - 3:30 pm
Yusuf
Yusuf Haque
Cofounder & Chief Technology Officer
Exo Imaging

Democratization of Ultrasonic Medical Imaging & Challenges

3:30 pm - 3:45 pm
Girish_Naganathan
Girish Naganathan
Former CTO
EVP Dexcom

The Architecture of Full-Stack Personalized Medicine

3:45 pm - 4:00 pm

Wrap Up

SEMI

Networking

4:00 pm - 6:00 pm

Reception

Smart MedTech

This Smart MedTech Summit brings together semiconductor and medical device leaders to address shared challenges, opportunities, and enable the next generation of medical devices. Designed for leaders at the forefront of a rapidly evolving landscape, it provides a focused forum for dialogue and cross-industry collaboration.
Participants will engage with peers and experts to exchange perspectives and gain actionable insights into how advanced semiconductor technologies are enabling smarter, more connected medical solutions.
 

8:00 am - 6:00 pm Off Add to Calendar 2026-08-27 08:00:00 2026-08-27 18:00:00 Semiconductor-MedTech Ecosystem Summit This Smart MedTech Summit brings together semiconductor and medical device leaders to address shared challenges, opportunities, and enable the next generation of medical devices. Designed for leaders at the forefront of a rapidly evolving landscape, it provides a focused forum for dialogue and cross-industry collaboration.Participants will engage with peers and experts to exchange perspectives and gain actionable insights into how advanced semiconductor technologies are enabling smarter, more connected medical solutions.  SEMI Headquarters 673 S. Milpitas Boulevard Milpitas, CA 95035 United States SEMI.org [email protected] America/Los_Angeles public

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America/Los_Angeles Register Here!
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Registration

※ Early-bird Registration Deadline: May 7(Thu), 2026, 10: 00 AM (KST)

 

Registration Fee  

  • Early Bird
    • SEMI Member: KRW 308,000
    • Non-Member: KRW 363,000
  • On site
    • SEMI Member : KRW 385,000
    • Non-Member: KRW 385,000
  • Group
    • SEMI Member : KRW 275,000
    • Non-Member: KRW 330,000
      ※ Group registration fee applies to groups of five or more from the same company.

※ For group registration inquiries, please contact SEMI Korea Program Team at [email protected].

Registration
South Korea SMC Korea 2026 Business Technical

OVERVIEW

  • Date: May 12(Tue), 2026 8:30-16:30 KST
  • Venue: Convention Hall 2, 3F, Suwon Convention Center
  • Language: Korean/English (Simultaneous interpretation will be provided)  

 

NOTICE

  • The agenda is subject to change at the discretion of the speakers.
  • Presentation materials will be available for download after the conference via the SEMI Korea program registration website(https://semikrprogram.com), only for materials approved by the speakers for distribution.
  • Parking fees are not provided.  

 

SPONSORS

SMC-Korea-2023-Sponsor_DW.jpg
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CONTACT

 



 

Suwon Convention Center
South Korea

8:30 am - 9:00 am

Welcome Reception

9:00 am - 9:25 am
Anand Murthy
Anand Murthy
VP, Advanced Technology Integration, Office of the CTO
Lam Research

How Wafer Processing Is Reshaping the 3D Era for AI

AI is fueling unprecedented growth and accelerating demand for advanced devices. Its requirements for performance, power, and area scaling are driving memory and logic devices toward 3D architectures.
At the heart of this 3D transformation, processing steps must enable taller, perpendicular structures as well as smaller features. Meeting these requirements calls for new deposition and etch capabilities that did not exist before, leading to breakthroughs needed in areas such as atomic-level deposition and etch (ALD and ALE), high-aspect-ratio processing, dry resist EUV patterning, and the adoption of new materials like molybdenum (Mo). As a result, the transition to 3D devices will drive increased intensity of deposition and etch processing.
This presentation will explore how deposition and etch are critical to unlocking the future of 3D devices, with increasing velocity required to meet the demands of AI-driven innovation.

※ Biography

9:25 am - 9:50 am
Ganesh Panaman
Ganesh Panaman
Head of Technology & Innovation and President of Intermolecular®
Merck

Integrated Materials Innovation in the AI Era

As the semiconductor industry navigates the challenges of dimensional and functional scaling in the artificial intelligence (AI) era, advanced materials science has emerged as a critical enabler for performance enhancement. Modern AI-centric architectures demand the integration of increasingly complex system-on-chip (SoC) designs with non-traditional material systems.
This work details a high-throughput methodology for the rapid down-selection and optimization of multi-element thin films, ensuring alignment with both physical and electrical key performance indicators (KPIs). Utilizing combinatorial physical vapor deposition (PVD) in conjunction with unit-cell electrical test vehicles, we systematically screen an expansive elemental compositional space to identify optimal candidates. Advanced machine learning (ML) algorithms are integrated into each phase of the development lifecycle—spanning precursor synthesis, process optimization, and heterogeneous integration—to satisfy the rigorous specifications of emerging device applications. The synergy between integrated materials engineering and AI-driven informatics significantly reduces the temporal gap between material discovery and device-level implementation.

※ Biography

9:50 am - 10:15 am
한세희 랩장
Sehui Han
Lab Leader
LG AI Research

AI for Scientific Discovery: EXAONE Discovery

Chemical and materials research faces increasing demands for data-driven automation and autonomous research systems due to vast exploration spaces and complex decision-making processes. In this talk, we introduce EXAONE Discovery as a Chemical Agentic AI system and present an integrated research framework designed to accelerate scientific discovery.
EXAONE Discovery is an agent-based system that tightly integrates property prediction, molecular generation, synthesis prediction, and literature/data extraction. Based on given research objectives, the system accumulates relevant data, generates candidate molecules using model-driven approaches, evaluates their properties, and derives feasible synthetic routes—automating the end-to-end discovery pipeline. Furthermore, it is designed to enable a closed-loop research paradigm by interfacing with autonomous laboratories, connecting design–prediction–synthesis–validation cycles. This allows hypotheses proposed by AI to be experimentally validated, with results continuously fed back into the system for iterative model improvement and optimization.
In this talk, we will demonstrate how this integrated approach enhances research productivity across various industrial use cases in materials discovery and optimization, and discuss future directions of Chemical Agentic AI.

※ Biography

10:15 am - 10:40 am
이세철
Peter Lee
Managing Director at Citigroup, Semiconductor Analyst
Citigroup

Global Memory Technology & Market Outlook

10:40 am - 11:05 am
황중일
Jung-il Hwang
Vice President
SK hynix

Materials Challenges and Path Forward for Future Memory Scaling

11:05 am - 11:25 am

Networking Break

11:25 am - 12:30 pm

Panel Discussion

12:30 pm - 1:30 pm

Networking Lunch

1:30 pm - 1:55 pm
Xiangyu Guo
Xiangyu Guo
Air Liquide

Emerging Etching Chemistry for Advanced Semiconductor Manufacturing

The rising technical demands for advanced semiconductor device manufacturing, and the industry’s ambitious net-zero commitments necessitate the development of novel etch chemistries that deliver both technical excellence and environmental sustainability. This talk will present an overview of the emerging etching chemistries developed by Air Liquide for variety-targeted applications. These innovative chemistries focus on delivering improved performance with unique technical merits to address current industry challenges. Exemplified by a novel low Global Warming Potential (GWP) designed for general dielectric etch, its synergistic integration with advanced abatement solutions, and a simplified Life Cycle Analysis (LCA) - from raw material extraction through processing, manufacturing, distribution, and use, this presentation aims to provide insights into a pathway towards more sustainable semiconductor manufacturing processes.

※ Biography

1:55 pm - 2:20 pm
Kirthi Rachakonda
Kirthi Rachakonda
Global Product Manager
Applied Materials

Enabling Advanced Metallization with Selective Deposition

As device architectures scale toward the angstrom era, metallization has emerged as one of the most critical bottlenecks to continued improvements in power and performance. Shrinking feature dimensions increase resistance, heighten reliability risks, and add complexity in interconnects and contacts. At these scales, traditional approaches which uniformly affect all wafer surfaces are increasingly ineffective. They rely heavily on lithography to define placement, and struggle to address tighter geometries and growing sensitivity to interfaces. Selective deposition is a solution which enables atomicscale control of where metals grow, placing material only where it is needed, without relying on patterning. It also enables monocrystalline metal growth, eliminating grain boundaries to minimize contact resistance.

This presentation will highlight how Applied Materials’ integrated materials solutions are enabling multiple inflections through area selective metallization. Selective Cobalt Capping technology encapsulates copper interconnects, improving adhesion, suppressing electromigration, and extending copper reliability to advanced nodes. Applied’s Selective Barrier eliminates a highly resistive interface at the interface of interconnect wiring. For contact fill, Applied developed Selective Tungsten (W) as a liner-less gap-fill solution that eliminates traditional liner/barrier layers and enables bottomup, seamfree metal fill. Finally, we introduce Selective Molybdenum (Mo) deposition that carries lowresistivity contact scaling forward as dimensions approach the fundamental scaling limits of W. Applied’s state-of-the-art atomic layer deposition tool for molybdenum delivers bottom-up, single-crystal Mo growth, enabling the next generation of contact scaling.

※ Biography

2:20 pm - 2:45 pm
JungHwan Hah
JungHwan Hah
CEO
SK Trichem

Periodic Table & Device Evolution

2:45 pm - 3:10 pm
Kuntack Lee
Kuntack Lee
Master
Samsung Electronics

Next Generation Cleaning Processes and Materials

Cleaning processes originally relied on wet etch based patterning. However, dry etching now performs the majority of the patterning work, so wet etching is no longer needed for most pattern creation steps. Consequently, the focus of cleaning has shifted from patterning to the removal of contaminants. To obtain a clean surface, we must eliminate unwanted contaminants without any side effects such as pattern damage, collapse, material loss, or corrosion.
However, in the current era of 3 D structured devices such as V NAND, GAA, and 3 D DRAM, lateral wet etching is essential for patterning 3 D devices, and the proportion of wet etching in cleaning processes is increasing. Additionally, different kinds of selectivity such as concentration selectivity and area selectivity, have become important, in addition to conventional material selectivity. Sometimes we have to remove a film uniformly even though there are seams and voids. In addition, pattern loading has become a critical factor in lateral removal processes. We must solve these loading issues to achieve better performance and yield.
From time to time we must use more flexible, multi step processes; therefore, premixed chemistry is not enough to meet our purpose. Due to the flexibility of dry (gas phase) cleaning, the portion of dry cleaning has been increasing sharply. Area selectivity has also become another challenge. We must etch without corner rounding or climbing, and we want to perform anisotropic etching.
Conversely, based on the generic clean roadmap, high aspect ratio cleaning and low consumption cleaning will remain continuous challenges. Super critical CO2 drying is a solution for pattern collapse in HAR patterns, yet a dryer that is milder than CO2 but better than conventional IPA dryer technology is still required. In terms of chemical reduction, the puddle process may be a solution, but some side effects related to temperature consistency and cleanliness differences due to fluid dynamics must be resolved before implementation.

※ Biography

3:10 pm - 3:30 pm

Networking Break

3:30 pm - 4:30 pm

Panel Discussion

4:30 pm

Adjourn

EMG

AI Enabled Materials Breakthroughs: From Molecules to Manufacturing

The transition toward an AI-driven technological landscape is redefining the paradigm of materials innovation across the semiconductor industry. In response, SMC (Strategic Materials Conference) Korea will spotlight next-generation semiconductor materials and process innovation strategies that enable and accelerate AI-driven advancements.  

This conference brings together leading companies representing the global semiconductor ecosystem to share strategic directions and practical insights into materials innovation, from material design to real-world manufacturing processes.  

The first session will focus on materials strategies for the AI era, exploring market and technology trends as well as AI-driven development approaches to provide a comprehensive view of next-generation semiconductor innovation. The second session will offer an in-depth exploration of process-ready materials essential for advanced semiconductor manufacturing, highlighting practical applications in areas such as photoresists, etching chemistry, and cleaning processes.   

By convening key players across the semiconductor ecosystem, this conference provides a unique platform to gain a holistic perspective on the present and future of materials innovation in the AI era. Participants will have the opportunity to gain valuable technical insights while fostering collaboration and connections across the industry.

8:30 am - 4:30 pm Off Add to Calendar 2026-05-12 08:30:00 2026-05-12 16:30:00 SMC (Strategic Materials Conference) Korea 2026 AI Enabled Materials Breakthroughs: From Molecules to ManufacturingThe transition toward an AI-driven technological landscape is redefining the paradigm of materials innovation across the semiconductor industry. In response, SMC (Strategic Materials Conference) Korea will spotlight next-generation semiconductor materials and process innovation strategies that enable and accelerate AI-driven advancements.  This conference brings together leading companies representing the global semiconductor ecosystem to share strategic directions and practical insights into materials innovation, from material design to real-world manufacturing processes.  The first session will focus on materials strategies for the AI era, exploring market and technology trends as well as AI-driven development approaches to provide a comprehensive view of next-generation semiconductor innovation. The second session will offer an in-depth exploration of process-ready materials essential for advanced semiconductor manufacturing, highlighting practical applications in areas such as photoresists, etching chemistry, and cleaning processes.   By convening key players across the semiconductor ecosystem, this conference provides a unique platform to gain a holistic perspective on the present and future of materials innovation in the AI era. Participants will have the opportunity to gain valuable technical insights while fostering collaboration and connections across the industry. Suwon Convention Center South Korea SEMI.org [email protected] Asia/Seoul public Asia/Seoul
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Registration

Please be sure to check / understand the followings before applying

  • Due to the nature of this product, we do not accept cancellations or refunds after the application has been made. Please understand this in advance.
  • When applying for this event, please register using a corporate email address.
  • SEMI Member Price is avilable for those who work for a SEMI member company or a wholly owned subsidiary that is registered as a subsidiary. If you are unsure, please click HERE to inquire. Please note that if your membership status cannot be confirmed, you will be charged the general price.
  • Payment is only possible by credit card. You can download your receipt from Receipt / Application History in your My Page.
  • Please note that places will be allocated on a first-come, first-served basis, so please apply as soon as possible.

    First deadline: June 5 (Fri.)
    Final deadline: June 25 (Thu.)

  • Symposium Fee
    SEMI Members : 280,000 JPY (Excluding tax)
    Please note that you will be responsible for the cost of local accommodation, transportation and participation in the golf competition. 
    A shuttle bus service is scheduled to run between New Chitose Airport and the venue.
  • Accommodation Charge 
    51,460JPY - 78,660JPY per night (including Breakfast and tax)
  • Golf Competition Participation [option]
    20,000JPY (Excluding tax)
  • Other Activities [option]
    2,200JPY - 38,500JPY (Excluding tax)
  • Travel Expenses
    Please bear your own travel and transportation expenses to New Chitose Airport.

SEMI Japan Event Registration
Email: [email protected]

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Japan Symposium Registration Accommodation and Shuttle Bus Booking Golf Registration ISS2026_top_event_bnr_508x448_en Business Executive

Accommodation and Shuttle Bus

Please see below for details on accommodations and shuttle buses.

The Windsor Hotel Toya Resort & Spa 

336 Shimizu, Toyako-cho, Abuta-gun, Hokkaido 049-5722

  • Superior Room Sea Side (40㎡) (Non-Smoking) 

    1 person usage:  51,460 JPY / night (per person) 
    2 people usage:  28,800 JPY / night (per person) 

  • Superior Room Lake Side (40㎡) (Non-smoking) 

    1 person usage:  54,760 JPY / night (per person) 
    2 people usage:  30,450 JPY / night (per person) 

  • Junior Suite Room Sea Side (58㎡) (Non-Smoking) 

    1 person usage:  72,060 JPY / night (per person) 
    2 people usage:  38,700 JPY / night (per person) 

  • Junior Suite Room Lake Side (58㎡) (Non-Smoking) 

    1 person usage:  78,660 JPY / night (per person) 
    2 people usage:  42,000 JPY / night (per person) 

    *Breakfast, consumption tax, bathing tax, and service charge are included.

[Outbound] July 8 (Wed) New Chitose Airport → Windsor Hotel Toya Resort & Spa

  • Duration: 120 minutes
  • Fare: Free (application is required)
  • Meeting / Departure: 
    Please arrive on a flight landing at New Chitose Airport between 8:30 and 10:00.
    Multiple shuttle services will be arranged to coincide with your flight arrival time.

     [For reference] Flight Schedule
    New Chitose AirportANAJAL

[Return] July 10 (Fri) The Windsor Hotel Toya Resort & Spa → New Chitose Airport

  • Travel Time: Approx. 120 minutes
  • Fare: Free (Advance reservation required)
  • Departure: 

Departures will begin from around 14:50, operating sequentially.
(Please note that departure times may vary depending on the program’s end time.)
*If you are taking the return bus, please book a flight departing at 6:30 PM or later.

JTB Global Marketing & Travel
ISS Japan 2026 Desk

*Inquiries can be received only by e-mail.
E-mail:  [email protected]
Office Hours: 10:00-16:30 (Mon-Fri except Saturdays, Sundays and Holidays)

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Overview

We will be holding “ISS Japan 2026”, a conference to discuss strategies and issues with an eye on the future of the industry.
As digital technology supports global prosperity, we will provide opportunities for exchanging opinions and networking on important issues such as sustainability, energy issues, and the latest technology, in order for Japan to demonstrate leadership as an important base for semiconductor manufacturing.

Date
July 8 - 10, 2026
Organizer
SEMI
Supporting Organization
Hokkaido
Attendee
150
(includes Government Officials, Top Executives of Semiconductor Device, Equipment, Material, and Component Companies)

*Please note that the program is subject to change.

The Windsor Hotel TOYAResort & Spa
Shimizu, Toyako-cho, Abuta-gun
Hokkaido
049-5722
Japan

Conference Check-In, Welcome Lunch

11:15 am

Session 1 Opening

1:30 pm
Jim Hamajima
President
SEMI Japan

Opening Remarks

Ajit Manocha, SEMI
Ajit Manocha
President & CEO
SEMI

Welcome Remarks

Naomichi Suzuki
Naomichi Suzuki
Governor of Hokkaido

Guest Remarks

Daishiro-Yamagiwa
Daishiro Yamagiwa
Member, House of Representatives (LDP)
Chairman, Diet Members Caucus for the Promotion of Semiconductor Strategy(LDP)

Special Presentation

Break

2:30 pm

Session 2 Global Technology Leaders

2:40 pm
Kota Nosaka
Kota Nosaka
Representative Director, Vice President
Micron Memory Japan

Rewriting the Curve: Memory, AI, and the Next Semiconductor Era​

This talk discusses the strategic importance of next-generation memory technologies, such as DRAM and HBM, in the semiconductor industry being reshaped by rapid AI advancements. It highlights their role in boosting performance and energy efficiency, while exploring broader transformations across supply chains, industry collaboration, and talent development.

Biography

Yutaka Emoto
Yutaka Emoto
Vice President and Center General Manager
TSMC Japan 3DIC R&D Center

Advancing Tools & Materials to Empower 3DIC Manufacturing for AI Innovations

The roadmap for advanced packaging in AI applications presents significant challenges, particularly with scaling up and incorporating more chiplets.
This expansion poses obstacles in terms of yield and productivity.
To address these challenges, CoP (Chip-on-Panel) technology will be introduced to complement current CoW (Chip-on-Wafer) to accelerate 3DIC scale up. However, this shift requires substantial infrastructure development, especially for tool development and material innovations. Meanwhile, material usage will be significantly increased, raising concerns about supply chain resilience.
All of which will play a pivotal role in enabling this critical technology expansion and requires seamless collaborations across backend eco-system.

Biography

Akio Yamaguchi
Akio Yamaguchi
President and Representative Director, IBM Japan
Representative Director, Japan Association of Corporate Executives

Technological Evolution and Economic Growth

As global change accelerates and the international environment becomes increasingly uncertain, the effective use of technologies such as AI is essential for Japan to achieve sustainable economic growth. At the same time, building a “Collaborative Growth Model” rooted in empathy enables us to realize true prosperity. This lecture explores the latest technological trends and discusses Japan’s vision for sustainable growth.

Biography

Hiromichi Nozaki
Hiromichi Nozaki
National Technology Office・Chief Technology Officer
Microsoft Japan

An Autonomous Digital World Powered by AI Agents: The New Frontier of Value Creation Enabled by Generative AI

Generative AI is beginning to create an “autonomous digital world,” in which operations and decision-making are orchestrated autonomously through AI agents.
In this session, we will provide an overarching view of how these technological advancements are transforming corporate business processes, organizational structures, and executive decision-making, and examine the fundamental impact these changes have on competitiveness and business strategy.
In addition, the session will offer insights for Japanese companies and the Japanese market from a global perspective, while sharing Microsoft’s vision for the future and strategic perspectives on driving new value creation.

Biography

Break

4:40 pm

Session 3 Geopolitics, Economic Security in Asia

5:00 pm
Kazumi Nishikawa
Kazumi Nishikawa
Deputy Director General for Semiconductor and Information Policy Deputy Director General for Economic Security
Ministry of Economy, Trade and Industry

Economic Security and Semiconductor

This presentation will discuss the growing importance of the semiconductor industry amid concurrent geopolitical tensions,
supply chain disruptions, and technological advancements; outline strategies for fostering innovation and strengthening supply chain resilience;
and introduce the Japanese government’s AI and semiconductor strategy in light of these developments.

Biography

J.W. Kuo
Jyh-Huei Kuo
Former Minister of Economic Affairs, Taiwan

Inside Taiwan’s Semiconductor Strategy: Technology, Supply Chains, and Geopolitics

This presentation explores Taiwan’s semiconductor development strategy as a "pivotal fulcrum" of the global AI industry. First, it examines how Taiwan maintains its technological leadership by leveraging advanced process nodes and the unique cluster advantage of "zero distance between R&D and production". Second, from a supply chain perspective, it analyzes innovative models for the global deployment of the industrial ecosystem. Furthermore, the session addresses the strategic management of key technical know-how amidst geopolitical challenges and defines a collaborative positioning of "deep coupling" with global partners. Finally, it highlights the evolution and vision
of government policy as it transforms from a "regulator" into an "enabler".

Biography

Kazuhide Ueno
Kazuhide Ueno
Partner, Attorney-at-law
TMI Associates

Geopolitics, Economic Security, and Asia (China/India)

This session explains approaches to addressing economic security risks, incorporating the latest developments in export and investment regulations in the semiconductor sector. In particular, it focuses on risks associated with business operations in China and India.

Biography

Shuhei Yamada
Shuhei Yamada
Specially Appointed Professor, MBA Program
J. F. Oberlin University

China’s Semiconductor Supply Chain: Accelerating Self-Reliance

In March this year, the Chinese Communist Party and government adopted the 15th Five-Year Plan (2026–2030), reaffirming their commitment to accelerating “self-reliance and self-strengthening” in high-tech industries centered on semiconductors. This presentation examines how far China’s semiconductor supply chain has advanced toward greater autonomy amid prolonged U.S.–China technology tensions. By analyzing developments in key firms, it also considers how Japanese companies should respond to these changes.

Biography

Break

7:00 pm

Welcome Reception &Dinner

7:20 pm
Akira Amari
Akira Amari
Former Member of the House of Representatives
Honorary Chairman, Diet Members Caucus for the Promotion of Semiconductor Strategy(, LDP)

Kiyohiro Houkin
Kiyohiro Houkin
President
Hokkaido University

Session 4 BreakFast & Round Table

7:30 am

①Supply chain Resilience
②International Competitiveness
③Geopolitics
④Energy

Coffee Break

9:20 am

Session 5 The Insights from Round Table Discussion

9:40 am

Break

10:50 am

Session 6 Leadership and Strategy to Forge Japan's Future

11:00 am
Shingo Yamagami
Shingo Yamagami
Special Advisor
TMI Associates

How Should Japan Respond to the Turbulent World?

The world has witnessed the Russian invasion of Ukraine, China’s wolf warrior diplomacy and a series of economic coercion, and the US military operations in Venezuela as well as Iran.
How should Japan react to the measures by major powers that shake the foundations of the rules-based international order established after WWII?

Fawning China, worshipping the US, and the deterioration of Japan’s presence in the world.
How could Prime Minister Takaichi extricate Japan’s diplomacy from such a stalemate that has continued since PM Suga through PM Kishida and Ishiba?

These will be discussed candidly in light of the speaker’s 40-year-long experience as a diplomat.

Biography

Yoshimitsu Kaji
Yoshimitsu Kaji
Chairman, Chief Sustainability Development Officer
CinnamonAI

Future of Global Community, Japan and AI

As AI reshapes the world, global competition and collaboration are accelerating. How can Japan create new value and demonstrate leadership in an era with no easy answers? Drawing on perspectives from startups, global companies, local governments, and business schools, this session offers fresh insights and invites participants to rethink Japan's future in the age of AI.

Biography

Lunch

12:00 pm

Off-site Networking Activity (Option)

1:00 pm

Dinner Party

7:00 pm
Ryuichi Yokota
Ryuichi Yokota
Mayor of Chitose

Session 7 Economic and Market Trends

8:20 am
Takeru Hanaya
Takeru Hanaya
Senior Analyst, Equity Research
SMBC Nikko Securities

SPE Shaping the Next-Gen Semiconductor Industry

AI is dominating the semiconductor market. As AI-related semiconductor prices rise and demand continues to grow, the outlook for the Semiconductor Production Equipment (SPE) market is improving. In addition to demand fueled by technological innovations unique to AI semiconductors, the industry faces an urgent need to construct new fabrication facilities and add production lines to keep up with increased volumes. In this seminar, we will explore the outlook for both the semiconductor and SPE markets.

Biography

Mikiya Yamada
Mikiya Yamada
Equity Research Dept. /Senior analyst
Mizuho Securities

Semi-Materials Supporting Japan's Competitive Edge

We would like to examine the current status and future prospects of Japan's Semiconductor Materials Industries that not only provides solutions for BEOL where semiconductor elements are formed on wafer surface but also for BEOL where thermal and insulation managements are vital. We would like to briefly touch the implications of geopolitical risks.

Biography

Minami Hamanaka
Minami Hamanaka
Associate Partner
McKinsey & Company

GenAI and Chips in the Post-Training Era

AI progress continues to accelerate. Frontier development is shifting from scaling pretraining to optimizing inference and strengthening agent/orchestration layers. This drives demand beyond GPUs to DPUs and data center infrastructure. As physical AI and multimodal models rise, this talk examines the implications for the semiconductor industry.

Biography

Coffee Break

9:50 am

Session 8 Energy Security and Industrial Growth Strategies

11:00 am
Naoko Doi
Naoko Doi
Senior Research Director
The Institute of Energy Economics, Japan

Toward a Secure Electricity Supply: Meeting the AI and Semiconductor Demand

Global electricity demand is rising due to the growing needs of AI and semiconductors, alongside advancing electrification in the industry, transport, and buildings. In developing Asian countries, structural shifts toward electrification are also being pursued to counter soaring oil prices, making the securing of a stable power supply a shared global challenge.This presentation highlights future demand outlooks and proposes solutions—including AI-driven energy efficiency, grid enhancement, and "watt-bit" integration—and draws implications for Japan.

Biography

Masahiro Ueno
Masahiro Ueno
Member of the Board, Executive Vice President
Hokkaido Electric Power

Realization of GX for Hokkaido’s Growth

In light of the anticipated increase in electricity demand driven by the expansion of GX (Green Transformation) industrial development, as well as the expected growth in the adoption of renewable energy leveraging Hokkaido’s inherent potential, this presentation introduces Hokkaido Electric Power Company’s initiatives to secure power supply capacity and promote energy decarbonization toward the future industrial growth of Hokkaido.

Biography

Masahiro Kobayashi
Masahiro Kobayashi
General Manager, Business Development Department, Industry Business Division, Industrial Co-Creation Business Unit
Tokyu Land

Powering Industrial Growth with Renewable Energy

As the need for carbon neutrality becomes more urgent and AI-driven data center demand continues to grow, integrating renewable energy with industrial infrastructure is increasingly important. This session highlights our 100% renewable-powered Ishikari data center as a practical model for integrating digital and green transformation at scale.

Biography

Farewell Lunch

11:40 am

Session9 Grand Finale Japan's International Competitiveness

12:30 pm
Oliver Faynot
Olivier Faynot
Silicon Component Division Manager
CEA-Leti

Shaping the Future of High-Value-Added Electronic Products

Artificial Intelligence (AI) has push the semiconductor industry toward a great challenge of energy efficiency. AI rely on massive infrastructure that are converting electricity into token. The demand is very high at either device level (high transistor density, huge amount of memory, etc.), technology level (3D integration, 3D partitioning, etc.) and infrastructure (power management, optical interconnection, etc.). These challenges are a unique opportunity to promote innovation at system level to reach a sustainable way to support AI requirements in terms of energy.
Biography

12:30 pm
Satoshi Nohara
Satoshi Nohara
Director-General, Commerce and Information Policy Bureau
Ministry of Economy, Trade and Industry

The Future of Japan's AI and Semiconductor Strategy

This presentation examines the structural shift whereby AI and semiconductors are emerging as critical foundations that shape national competitiveness, social resilience, and economic security. It further explores the technological trajectory toward the advancement of Vertical AI and Physical AI. Against this backdrop, it highlights the importance of transforming Japan’s unique strength in real-world operational data into a new source of competitive advantage and presents a strategy for realizing a System-to-Silicon paradigm.

Biography

Jun Sawada
Jun Sawada
Chairman and Member of the Board
NTT

Toward a Science and Technology-oriented Nation: The Future of Japan

As the world grapples with challenges such as population decline and intensifying global competition, how can Japan achieve sustainable growth? This session will highlight technologies such as space, AI, and robotics from a broad perspective that spans industry, society, and philosophy. We will explore Japan’s future and strategic direction through “science and technology-oriented nation,” a concept advocated by Keidanren.
Biography

Atsuyoshi Koike
Atsuyoshi Koike
CEO
Rapidus

The Semiconductor Strategy in the Age of AI

The rise of AI is radically transforming the semiconductor industry. In this new era, the keys to success are speed and data. To thrive, we must build deep partnerships with cutting-edge global leaders while fostering strong co-creation with local communities. We will share our steps to create new innovations.

Biography

Jim Hamajima
SEMI Japan
President

Closing Remarks

End

2:40 pm

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ISS (Industry Strategy Symposium)
Japan 2026

日本語ページはこちら

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Off-site Networking Activity

On the afternoon of the second day, we invite you to relax and enjoy a moment of calm surrounded by the wide open skies and lush greenery of Hokkaido’s magnificent natural landscape.
As part of ISS Japan’s off-site networking activities designed to foster connections among participants, we offer not only a golf competition but also a variety of alternative activities for those who do not wish to participate in golf.

ISS Networking Golf

Golf course
Windsor Great Peak of Toya
(Adjacent to the ISS venue)

Date
Thursday, July 9

Schedule
12:00-13:00 Lunch
13:00-18:30 Golf Tournament
19:00-20:30 Dinner Party

Activities

For those not participating in the golf tournament, we invite you to enjoy a variety of activities that allow you to experience the magnificent natural landscapes of Hokkaido.
A wide range of activity programs offered by the hotel is available.
https://www.windsor-hotels.co.jp/en/activity/

Reservations can be made via the link below.
Reservation Contact Information
Tel: +81-142-73-1177 (Hours: 8:00 AM – 5:00 PM)
Email: [email protected]
* When making your reservation, please mention that you will be attending “ISS JAPAN."

 
Asia/Tokyo

ISS Hokkaido 2025 Event Report

ISS 2025 参加者集合写真

We have compiled an overview of the 2025 event, along with photos of participants and their comments.

Download (PDF)

ISS 2025 参加者集合写真

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