Emmy Yi

New SEMI Taiwan Testing Committee to strengthen the last line of defense to ensure the reliability of advanced semiconductor applications.Mobile, high-performance computing (HPC), automotive, and IoT – the four future growth drivers of semiconductor industry, plus the additional boost from artificial intelligence (AI) and 5G – will spur exponential demand for multi-function and high-performance chips. Today, a 3D IC semiconductor structure is beginning to integrate multiple chips to extend functionality and performance, making heterogeneous integration an irreversible trend. As the number of chips integrated in a single package increases, the structural complexity also rises. Not only will this make identifying chip defects harder, but the compatibility and interconnection between components will also introduce uncertainties that can undermine the reliability of the final ICs. Add to these challenges the need for tight cost control and a faster time to market, and it’s clear that semiconductor testing requires disruptive, innovative change. Traditional final-product testing focusing on finished components is now giving way to wafer- and system-level testing.In addition, the traditional notion of design for testing, an approach that enhances testing controllability and observability, is now coupled with the imperative to test for design, which emphasizes drawing analytics insights from collected test data to help reduce design errors and shorten development cycles. Going forward, the relationship among design, manufacturing, packaging, and testing will no longer be un-directional. Instead, it will be a cycle of continuous improvement.This paradigm shift in semiconductor testing, however, will also create a need for new industry standards and regulations, elevate visibility and security levels for shared data, require the optimization of testing time and costs, and lead to a shortage of testing professionals. Solving all these issues will require a joint effort by the industry and academia. "With leading technologies and $4.7 billion in market value, Taiwan still holds the top spot in global semiconductor testing market," said Terry Tsao, President of SEMI Taiwan. "When testing extends beyond the manufacturing process, it can play a critical role in ensuring quality throughout the entire life cycle from design and manufacturing to system integration while maintaining effective controls on development costs and schedules. Taiwan's semiconductor industry is in dire need of a common testing platform to enable the cross-disciplinary collaboration necessary for technical breakthroughs."The SEMI Taiwan Testing Committee was formed to meet that need, gathering testing experts and academics from MediaTek, Intel, NXP Semiconductors, TSMC, UMC, ASE Technology, SPIL, KYEC, Teradyne, Advantest, FormFactor, MJC, Synopsys, Cadence, Mentor, and National Tsing Hua University to collaborate in building a complete testing ecosystem. The committee addresses common technical challenges faced by the industry and cultivates next-generation testing professionals to enable Taiwan to maintain its global leadership in semiconductor testing.The SEMI Taiwan Testing Platform spans communities, expositions, programs, events, networking, business matching, advocacy, and market and technology insights. For more information about the SEMI Taiwan Testing platform, please contact Elaine Lee ([email protected]) or Ana Li ([email protected]). Emmy Yi is a marketing specialist at SEMI Taiwan.

4 Key Takeaways from SEMI Taiwan Member ForumThe rapid development of artificial intelligence (AI) has accelerated the digital transformation in various industries and has now fused with Internet of Things (IoT) to exploit the value of both technologies in reshaping the electronics industry value chain. As it emerges from the shadows of its parent technologies, AIoT is giving rise to new opportunities in manufacturing, healthcare, transportation, and even energy. AIoT is fast rising in prominence as an enabler of key electronics manufacturing process improvements and the creation of add-on value to existing products – both critical to the success of many businesses.SEMI and the SEMI MEMS Sensors Industry Group (SEMI-MSIG) held a technical forum on smart sensing and its applications in AI and AIoT, inviting renowned experts in sensors and edge computing to share in-depth insights into the latest AIoT technologies and applications with more than 100 industry professionals in research and development, marketing and sales. Here are four key takeaways from the SEMI Taiwan member forum.1. Steady Growth for Global Sensors MarketThe global sensors market’s steady growth is expected to expand at a CAGR of 6.6 percent from 2017 to 2023, with Asia driving the biggest gains and automotive leading the segments – including healthcare and education – with the strongest growth. Automotive alone is expected to reach US$34 billion in 2023.2. Integration Critical to MEMS Sensors DesignsWith AI booming, MEMS sensor designs need to drive toward greater integration —not only integrating data collection with sensors, but also streamlining data processing on the backend – making 3D models of today’s MEMS mechanical designs critical. The differences between 3D and entrenched 2D models are dramatic, elevating the importance of specifying manufacturing steps in MEMS designs. As new sensors and applications continue to emerge, companies that develop the most powerful integrated designs will win. 3. Growth of Smart Voice-Control Applications to ExplodeAIoT is also accelerating the development of smart voice-control applications and the rise of new related business opportunities. Just 50 million voice-controlled devices shipped worldwide in 2017, a number predicted to swell to 436 million in 2021 with smart home devices such as set-top boxes and smart TVs the major growth drivers.4. AIoT Eyed to Make Human-Robot Collaboration SafeSafety is an essential feature for human-robot collaboration. Tactile sensing technologies give robots a layer of “skin” with capabilities rivaling human touch. To ensure humans and robots work together safely in work environments, sensors on this layer of skin are concentrated – less than 8mm apart, equivalent to the width of a human finger, with a response time of less than 5ms on contact. More than 4 million robots worldwide are expected to be upgraded with these sensing technologies and are on track for deployment in pilot plants in the next three years.SEMI-MSIG is committed to strengthening connections across all sectors in the MEMS and sensors supply chain, working closely with the industry to accelerate the development of related technologies and applications in both mature and emerging markets. In addition, SEMI-MSIG hosts regular events to inspire business opportunities and technology exchange for innovative applications, while enhancing the visibility of members among global customers and partners to help them forge new partnerships. To join the group, contact SEMI Taiwan’s Helen Chen at [email protected] Yi is a marketing specialist at SEMI Taiwan.

As artificial intelligence’s (AI) sprawling influence reshapes industries from logistics and healthcare to automotive and manufacturing, Taiwan is poised to leverage its cutting-edge capabilities and rich history in semiconductor manufacturing to stake out a leadership position in AI. Taiwan’s semiconductor manufacturing industry accounts for a major share of the region’s GDP and, with its manufacturing prowess, the region is fertile ground for using AI to optimize and even revolutionize chip manufacturing. In an AI and Semiconductor Smart Manufacturing Forum recently hosted by SEMI Taiwan, experts from Micronix, Advantech, Nvidia and the Ministry of Science and Technology of Taiwan (MOST) shared their insights on how deep learning, data analytics and edge computing will shape the future of semiconductor manufacturing. Here are four key takeaways.1. Monitor, Forecast, and PreventToday, tier 1 foundries use AI tools to combine equipment know-how and manufacturing statistics in managing massive Fault Detection (FD) data, much in the way that a car’s tire-pressure monitoring system helps maintain safe inflation levels and prevent accidents. For example, AI enables the real-time collection and monitoring of massive amounts of processing data, then alerts system administrators of any hardware failures or other manufacturing abnormalities.AI also makes it possible to adopt Run-to-Run (R2R) control to automate manufacturing process adjustments and corrections by providing feedback that can drive higher processing efficiency. In addition, virtual metrology replaces manual sampling inspection for comprehensive quality control, enabling foundries to improve yields, reduce costs, and strengthen their competitive advantage.2. Beyond Automation: Edge Computing The evolution of IoT is giving rise to a paradigm shift in the industry as the recognition grows that smart factories must go beyond automation to focus also on intelligence. All information – from equipment status and manufacturing process statistics to on-site environmental data – needs to be collected through sensors. In highly time-critical scenarios, returning all sensor data to the cloud for processing is time-consuming and impracticable. This is where edge computing’s real-time features and lower cost than cloud computing come into play.How does edge computing work in a smart factory? First, a rich trove of data from various devices is collected and integrated via Manufacturing Execution Systems (MES). Software analysis then produces a real-time factory production status before production data is visualized through a combination of system platforms and human-machine interfaces. In the end, the data is analyzed realtime in the cloud so failures can be predicted and prevented to help increase capacity and reduce costs. The approach is even capable of Bill of Materials (BOM) predictions, allowing better collaboration between upstream and downstream suppliers.3. Deep Learning Accelerates AI Deep learning enables autonomous driving, intelligent voice assistance and many other AI breakthroughs. The heart of deep learning is its ability to automatically process and learn data in various formats such as images, video and text with no human domain knowledge. This increases predictive accuracy and efficiency in processing massive amounts of data. Deep learning also enhances the efficiency of human-machine collaboration.4. Taiwan’s Competitive Niche: Industry 3.5Industry 4.0 is not just about improving production management. It also focuses on integrating supply chains, even among competitive companies. For Industry 4.0 to thrive, rival companies must grow together. The first and third industrial revolutions centered on disruptive technologies like steam engines, transistors and digital, while the second and fourth revolutions homed in on competition among various business models, platforms and industry ecosystems.While Taiwan’s strengths include innovation, short time-to-market, low manufacturing costs, and high supply chain management efficiency, the region still lags advanced countries in basic industry and research capabilities. Squeezed by Chinese supply chains and high-end manufacturers in advanced countries, Taiwan should start by carving out an Industry 3.5 niche for the island’s manufacturers. SEMI will continue to facilitate cross-industry connection, collaboration and innovation to help manufacturers seeking higher production efficiency and lower costs incorporate AI as a core competitive advantage. At SEMICON Taiwan 2018, SEMI will unveil its Smart Manufacturing Journey, an exhibition that gathers leading AI companies such as ABB, Advantech, Nvidia, Sony and UPS to demonstrate a comprehensive roadmap for smart manufacturing technologies and applications. For more information, please visit the SEMICON Taiwan website.Emmy Yi is a marketing specialist at SEMI Taiwan.

The solar energy sector shined in a global renewable energy market that maintained steady growth last year despite the United States’ stunning withdrawal from the Paris Agreement. Solar panel costs dropped to an all-time low, driving global demand that surpassed the 100GW mark for the first time on the strength of standout annual 26 percent growth.In 2016, Taiwan began to redouble its transition to renewable energy, most notably phasing out nuclear power as the region increases its reliance on climate-friendly energy sources and seeks more foreign investment, moves it hopes will also boost economic growth and create more jobs.With its land space constraints, the region is fertile ground for rooftop photovoltaic system (PV) systems. So the Taiwan government laid out on ambitious plan to achieve 3,000MW of installed capacity by 2020 – enough to supply electricity for 1 million households while improving air quality, help spruce up the urban landscape and generate jobs.The SEMI Taiwan Energy Group fully backs the government renewable-energy policy. Earlier this year, the group gathered more than 200 industry professionals and government officials to explore challenges and opportunities in deploying more rooftop PV systems. Here are key takeaways from the conference.Infrastructure Reliability Key to High Return on InvestmentSize, reliability and safety are touchstones of rooftop PV system design. To make the best use of space, reduce the cost per kWh, and ensure a long-term, stable supply of electric energy, the PC modules must be: Compact to fit within limited rooftop space Robust to endure extreme temperatures over long periods; resist fire, salt and water damage; and ensure safe, reliable operation Financial Institutions Play Important RoleIn response to the government energy policy, domestic financial institutions have funded select projects or issued bonds and derivative products to support the development of Taiwan’s renewables industry. A key part of these efforts is to evaluate risks in areas such as system module safety, technology and design maturity, energy-generating efficiency and maintenance costs.Circular Economy = Green WorldEnergy storage systems are maturing rapidly to support expanding markets for renewable energy products. Demand for renewable energy systems for homes is growing, fueled in part by low prices, and the adoption of electric vehicles continues to rise as advances in energy storage technology drive down costs and enable longer ranges. At the current pace of technology development, the world could be using 100 percent renewable energy as soon as 2025. However, a pollution-free environment will only be possible with the development of a circular economy – one that regenerates and reuses energy resources. To that end, the SEMI Taiwan Energy Group this year will transform the 11-year-old PV Taiwan exhibition into Energy Taiwan, Taiwan’s largest international platform for facilitating communication and collaboration of the entire renewable energy ecosystem. Exhibition themes will range from solar energy, wind energy, hydrogen energy and fuel cells to green transportation, smart energy storage and green finance. The event reflects the consolidation of the SEMI Taiwan Energy Group’s growing resources and its commitment to a circular economy free of fossil fuels.Emmy Yi is a senior marketing specialist at SEMI Taiwan.

Since 2010, 474 companies worldwide have poured $51 billion into developing artificial intelligence (AI) devices, with the bulk of these investments targeting autonomous driving and in-vehicle experiences, according to a McKinsey Company report. With the extraordinary growth potential of AI and automotive electronics, it’s no surprise that IHS Market predicts the Advance Driver Assistance Systems (ADAS) market will reach $67.43 billion by 2025. By 2040, the market research firm expects 33 million autonomous vehicles enabled by AI to be on the road worldwide. Lured by the immense business opportunity, more semiconductor manufacturers are jumping into the automotive market knowing that autonomous driving ICs will face far more stringent reliability requirements than traditional devices. Testing, then, will be crucial for level 5 autonomous driving to materialize since a fully autonomous system will need to rival the behind-the-wheel performance of a human driver even in extreme road conditions like snow and iceWith testing vital to the development of chips for autonomous driving, SEMI Taiwan recently convened experts from IC design and testing-related fields to facilitate cross-discipline collaboration and help inspire innovative solutions to current testing challenges. The early February AI IC and Automotive IC Test Seminar is part of a series of SEMI Taiwan events focused on hot topics including like AI, IoT, smart automotive, smart data and smart MedTech. Following are a key takeaways from the seminar.Paradigm Shift Needed in Automotive Electronics Testing StrategiesDesigners of automotive electronics need to transform their test strategies to match the technical rigors of autonomous driving. The traditional process of build, test, and then fix-for-compliance must change in the era of self-driving vehicles. Adding AI to already electronically complex automotive systems will dramatically increase the number of ICs and sensors in vehicles. Traditional component testing for points of failure is far less rigorous than vetting devices under the countless driving scenarios where they could fail. Testing, therefore, must be holistic. Starting in the development phase of their own electronics systems, automotive electronics designers must work closely with component and other technology suppliers to ensure that designs are tightly integrated and exhaustively tested for interoperability and points of failure under any conditions a human driver would face. Wafer-level Test is A TrendThe cost and time for IC testing have steadily increased to meet the relentless scaling requirements of highly integrated advanced technologies, placing immense pressure on current wafer-level packaging and testing methodologies to maintain cost efficiencies, chip yields and time-to-market speed. The challenges will intensify with the multiple-component parallel testing required for autonomous vehicles. Demands on automotive electronics manufacturers to maintain DDPM quality levels key to smart functionalities, powertrain operation, safety and reliability will also complicate current IC testing methodologies. Nearly 300 professionals from IC design and related fields gathered at the SEMI Taiwan forum to tackle the challenges of autonomous vehicle testing Beyond TechnologyTo fulfill the promise of autonomous automobiles and other AI applications, industry, academia, and government in Taiwan must work together to solve underlying technical challenges, create profitable business models and develop a strong programming and system integration workforce. Taiwan's strong semiconductor manufacturing industry and advanced IC testing capabilities put it in the pole position to help drive the development of advanced automotive electronics essential for autonomous vehicles.Emmy Yi is a senior marketing specialist at SEMI Taiwan.