March 18, 2026 - March 19, 2026
Unlocking Smarter, More Autonomous Fabs with Edge AI
As semiconductor fabs strive for higher yield, uptime, and efficiency, AI at the edge is becoming central to semiconductor manufacturing. Modern edge devices combine advanced sensors with embedded AI to monitor equipment, optimize energy, and detect anomalies in real time - without relying on the cloud.
This workshop will explore how AI-driven sensors and edge intelligence, integrated with IoT, 5G, and AI accelerators, enable scalable, resilient, and intelligent solutions tailored for semiconductor manufacturing. Learn how these technologies support:
- Predictive maintenance to prevent downtime
- Adaptive process automation for maximum efficiency
- Real-time decision-making at the source of data generation
Join us to see how the convergence of sensors, edge AI, and connectivity is unlocking the next era of smart manufacturing.
Location
Milpitas, CA
United States
Agenda
Morning, Day 1: March 18th, 2026
Smart Sensors and Edge Intelligence for Advanced Process Control
Overview: Explore the latest sensor technologies—optical, thermal, vibration, and chemical—and how embedded AI at the edge enables real-time control loops for critical wafer fab processes. Includes case studies on inline metrology and adaptive control.
Key Topics: Sensor fusion and calibration, Edge inference for process drift detection, Integration with APC and FDC system
Registration & Breakfast
Day 1 - Welcome All
Welcome & SEMI Manufacturing Coalitions Overview
Keynote: Vision – Edge Inference – Process Control, APC, FDC
Managing Edge AI for Smart Sensor Process Control
Advanced Process Control with Piezoelectric Sensor Fusion for Semiconductor Manufacturing
Coffee Break
A Unified Industrial Platform for Production-Ready AI
Physical AI on the Manufacturing Floor: From Virtual Commissioning to Deployment
Intelligent Robots & Digital Twins for Advanced Manufacturing
Sensor as the Eyes and Ears of AI
Networking Lunch
Afternoon, Day 1: March 18th, 2026
Yield Enhancement through Edge-Driven Defect Detection and Classification
Overview: Present how edge AI models process sensor and image data to identify yield-impacting defects early in the process. Discuss virtual metrology, anomaly detection, and feedback loops for yield optimization.
Key Topics: Real-time defect classification, Sensor-based yield prediction, Integration with SPC and yield dashboards
SEMI Fab Owners Alliance (FOA)
Physics-Aware AI for Semiconductor Manufacturing Process Optimization: Deployed Systems and the Edge AI Frontier
Real-Time, Tool-Independent Health Monitoring Using Gaussian Process Confidence Bands on Sensor Signals
Applications of AI-Based Defect Classification for Yield Improvement: From FEOL (Front end-of line) in Fabs to Assembly and Test
Coffee Break
Edge-Driven Yield Learning: Real-Time Deep Learning and HAR Defect Discovery in Advanced E-Beam Architectures
Reducing Rework and Boosting Fab Capacity with Edge AI and Metrology-Driven Predictive Analytics
Overcoming the challenges of AI defect detection and classification of semiconductor macro defects
From Data to Decisions: Edge AI for Yield, Defect Detection, and Predictive Insights
Software Defined Industrial Automation: A Blueprint for AI-Ready, Real-Time Edge Operations in Semiconductor Manufacturing
Reception
Morning, Day 2: March 19th, 2026
Autonomous WIP Movement: Robots, Sensors, and Edge AI Coordination
Overview: Dive into next-gen clean rooms – how intelligent robotics & AI‑enabled inspection elevate yield, reliability & efficiency.
Key Topics: Sensor-guided AGVs and AMRs, AI-based path optimization, Interoperability with fab logistics systems
Registration & Breakfast
Day 2 - Welcome All
Day 1 Overview & MSIG Overview
Keynote: Smarter Fabs in Motion: How Edge AI and Sensor Networks Drive Autonomous Material Handling
Precision, Automation, and Beyond: The Role of Advanced Sensors in the Evolution of Semiconductor Manufacturing for effective Tool set-up, Predictive and Preventative Maintenance
Perception-Enabled Assurance of Semiconductor Manufacturing Systems
Coffee Break
Using Edge AI models and Deep RL to improve yield, tool availability, and fab performance
Solving the Interoperability Gap: Orchestrating and Emulating Mixed-Fleet Robotics for High-Yield Fabs
Smart Modular Conveyance, the first step towards Autonomous Operations in Analog & Legacy fabs
The 5G Fabric: Leveraging Next Gen Connectivity to Enable Automation and Intelligence
Robots in the Cleanroom: Future of Automation in Semiconductor Manufacturing
Networking Lunch
Afternoon, Day 2: March 19th, 2026
Predictive Maintenance at the Edge: From Vibration to Vision
Overview: Highlight how edge-deployed AI models use sensor data (vibration, acoustic, thermal, visual) to predict equipment failures before they occur. Showcase deployment strategies and ROI from reduced downtime.
Key Topics: Edge analytics for tool health, Federated learning across equipment fleets, Maintenance scheduling optimization
Keynote: Predictive Maintenance at the Edge - AI Enabling PdM
Edge AI–Enabled Predictive Maintenance: Closing the Loop Between Equipment Health and Fab Operations
The Edge Revolution: Predictive Maintenance Reborn with Edge AI
The Challenge Of AI At The Edge – Making Use Of Advanced Sensors
Coffee Break
Edge-based Defect Detection and Predictive Maintenance in Semiconductor Manufacturing
Edge AI: The Future of Industrial Machine Health Monitoring
How AI‑based Maintenance Can Reshape Semiconductor Operations By Cutting Downtime By Up To 50%
Wrap-Up
Suggested Hotels:
Embassy Suites by Hilton Milpitas Silicon Valley
901 East Calaveras Boulevard
Milpitas, CA 95035
(408) 942-0400
Courtyard by Marriott Milpitas Silicon Valley
1480 Falcon Dr.
Milpitas, CA 95035
(408) 719-1966
Sponsors
