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Artificial Intelligence

SEMI spoke with Eyal Shekel, senior vice president of Service Strategy and Excellence at Tokyo Electron Limited, about the impact of artificial intelligence (AI) on smart manufacturing and how other fab solutions for smarter process tools are advancing semiconductor manufacturing.Eyal shared his views ahead of his presentation at the SEMI Fab Management Forum, 17 February, as part of the SEMI Technology Unites Global Summit, 15-19 February 2021, an online event. Join us to meet experts from Tokyo Electron and other key industry influencers. Registration is open. SEMI: AI technology is considered a key enabler for smart manufacturing. What are the latest trends? Shekel: The advent of advanced nodes and extreme complex 3D semiconductor geometry has lengthened time to market and increased costs in areas ranging from equipment development and large-scale metrology usage to monitoring yield inhibitors.AI is becoming a critical tool in the area of material informatics to determine suitable materials and processing techniques in order to meet the needs of future devices. Together with new materials and processes, the development and implementation of virtual metrology will enable accurate and almost absolute real-time monitoring of our customers’ device wafers at each stage of the manufacturing process.SEMI: What are the benefits of data analysis in the process from R D and Ramp-Up to High-Volume Manufacturing? Shekel: The new research field of materials informatics enabled by AI provides tools to guide the highly efficient discovery and optimization of production processes. For example, TEL has developed methodologies for co-optimizing processes and materials for etch rates.To monitor and manage the yield of semiconductor fabrication processes, direct metrology measurements are important. However, it is difficult to monitor all production wafers due to the time and cost involved. With deep learning AI, it is now becoming possible to predict every wafer’s metrology measurements based on production equipment data and previously processed wafer metrology variables. This enables total quality management and run-to-run control, while simultaneously reducing production costs and cycle time.SEMI: Can you tell us more about TEL Service Advantage?Shekel: TEL Service Advantage is a TEL global support organization that allows customers to select a service plan that fits their needs. Through TEL Service Advantage, we can quickly respond to customer requests and technical advancements. TEL Service Advantage provides various plans to maximize equipment maintenance efficiency for customers and productivity from equipment manufactured by TEL. TEL Service Advantage plans can be combined to meet customer needs and achieve maximum results.A key enabling element of TEL Service Advantage is TELeMetrics™. TEL analyzes equipment data from various sensors using a remote connection and, based on that analysis, provides solutions to customer-specific problems around equipment throughput and predictive maintenance.SEMI: How is AI helping during the pandemic? Can you share a success story? Shekel: The pandemic forced severe travel restrictions worldwide, making it very difficult or even impossible in many cases to visit our customers, as it is still the case today. Standard communication devices like smartphones and email helped at the beginning when TEL intensified the remote support by our Total Support Centre (TSC).TEL continued to develop its Service Advantage program quickly, and started using additional advanced tools and methodologies such as the following: Deployed AR (Augmented Reality) to remotely assist our customer and TEL engineers Secured remote connections into TEL tools to investigate parameters and logs, or to change set-up Used remote training courses that connects trainers via video conferencing systems and training tools in the factories to skill up engineers located in a different parts of the world Used AR glasses for tool start-up and troubleshooting Expanded TEL database global technology with multi-tool on languages search capabilities A key project at a customer site in Europe offers an excellent success story. Using all the approaches above, we collaborated with the local team to put a tool into production with no major delays. This was highly appreciated by the customer and very important for us.SEMI: What do you predict for the future? Shekel: Global technology infrastructure continues to develop and expand rapidly. Elements like 5G networks, IoT and advanced sensing capabilities will lead to what we call General AI, which will be based on neuro-like infrastructure. The auto learning will spread across domains and rely on internal logic and reasoning to automate many tasks that are manual today. In our industry in particular, General AI will enable workers to focus more on data analytics and future advanced R D rather than ongoing operations.SEMI: How can technology unite us? What do you expect from your participation at SEMI Technology Unites Global Summit?Shekel: Technology united us in the last 150 years. The connectivity started with telegraph and telephone and was used to exchange information over wider distances. Nowadays, video conference capabilities, AR and improving communications technology makes it much easier to unite people who are geographically dispersed. This becomes obvious and valuable especially during this pandemic period. As a fact, we are able to continue to perform all our key activities – our tool support, training and customer relationships – even if we cannot be present in person.The SEMI Technology Unites Global Summit is a great chance to stay connected to people and customers that I would normally meet at the SEMICON exhibitions.It also offers the opportunity to network with many more people who I would not be able to meet otherwise. Moreover, I can watch speeches and presentations at any time! Normally I would miss some programs since exhibitions and events took place at the same time.Eyal Shekel, senior vice president of Service Strategy and Excellence at Tokyo Electron Europe Limited, is a 27-year semiconductor industry veteran. Upon his graduation as a Mechanical Engineer from the Technion (Israel leading technical institute), he joined Applied Materials. In 1997 he moved on to Tokyo Electron (TEL) in Europe, served as the Regional Service Manager of Israel and, soon after, was appointed the company’s General Manager. Since 2005 Eyal has been part of TEL Europe senior management. He oversaw the Service and Support Operations for TEL Europe as a senior vice president until 2019. In his current role, he co-leads TEL’s Global Service Committee in Japan.The SEMI SMART Manufacturing Initiative is a global effort to promote awareness of and interest in smart manufacturing with a focus on delivering industry-recognized best-in-class programs and services to enable members to maximize product quality and productivity while reducing costs. Activities are focused on building out core capabilities to enable smart manufacturing across the microelectronics supply chain. MADEin4 is a consortium of 47 partners from 10 countries connecting the full range of supply chain – from semiconductor equipment manufacturers and system-integrating metrology companies to RTOS and key applications such as the automotive industry. The MADEin4 Project develops next generation metrology tools, machine learning methods and applications in support of Industry 4.0 high-volume manufacturing in the semiconductor manufacturing industry. Serena Brischetto is senior manager of Marketing and Communications at SEMI Europe.
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The turn of the New Year means new opportunities for the microelectronic industry as SEMI continues to focus on a top priority for companies across the microelectronics design and manufacturing supply chain and SEMI members – supporting the development of the talent pipeline. Regardless of a member company’s role within microelectronics, ensuring a continued, robust flow of qualified talent for what is a cross-cutting, foundational industry sector is of high strategic importance. Skilled workers are essential to advances in areas such as artificial intelligence (AI), smart manufacturing, medtech, transportation and communications. In order to satisfy the world’s insatiable appetite for technology, we need a qualified workforce that can design and manufacture cutting-edge microelectronic devices. Launched in 2019 by SEMI’s Government Programs Office, SEMI Works™ is a holistic approach to developing and maintaining the talent pipeline. 2020 focused on building the all-important infrastructure, engaging member companies to identify required skills and developing a Unified Competency Model to catalog these workforce requirements. SEMI Works™ accomplished several firsts for the microelectronics industry: First dynamic, data informed workforce training standard adopted and published by the U.S. Department of Labor Employment Training Administration (USDOL-ETA) First SEMI Certified college program for technicians First Industry Approved Apprenticeship Program for Technicians, adopted and endorsed by the U.S. Department of Labor Member inputs anchor the SEMI Works™ portal, which enables connections among talent, employers and training/education providers. The portal’s initial phase of development is on track for completion in the first quarter of this year, marking the point when it will begin to be populated with specific job information, individual (talent) profiles and applicable training courses. Once SEMI Works™ is fully operational, it will be optimized to further support talent development and acquisition, providing a comprehensive platform for learning management, e-learning and career advancement. Throughout 2021 SEMI will be engaging members, training providers and job seekers to ensure the portal’s capabilities and user interface meets their needs. We’ll also move forward with several other SEMI Work’s programs including the Curated Content Initiative, which will enable SEMI members to identify non-proprietary courses, a SEMI member job board and an interactive career map to help job seekers plan their future in the industry. The microelectronics industry will only fulfill its tremendous promise for innovation and growth with the right talent. SEMI looks forward to working with members in 2021 to expand SEMI Works™ and help lay the groundwork for the next wave of technology advances. Mike Russo is vice president of Industry Advancement and Government Programs at SEMI.
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Nexperia became a standalone company about four years ago after our divestiture from NXP Semiconductors. Last year we started our journey towards smart manufacturing at our back-end factories in Asia by developing a roadmap to help steer us in the right direction.Our first step to creating a convincing and workable smart manufacturing roadmap was to define the very meaning of smart manufacturing to Nexperia. Since the definition of smart manufacturing varies widely, we started by looking at two different and distinct technology adaptations: Physical automation Data-driven manufacturing, or using analytics at the core to develop and adopt machine learning and artificial intelligence (AI) models It is important to find the right balance of investments between physical automation and data-driven manufacturing to steer clear of deployment inefficiencies since only connected solutions deliver full value. Our approach involved the following high-level steps. Meeting with internal management teams for their inputs and examining factory needs and maturity Meeting with other semiconductor factory operators, subcontractors and partners to review their smart manufacturing approaches and challenges Evaluating our needs and status against the Singapore Smart Industry Readiness Index model Physical AutomationEvaluating the maturity of available solutions and adaptions by the industry and our own shop floor helped simplify the thought process quite well. Logistic automation is not new. Very mature solutions, even for custom layouts and preferences, are readily available. Shop floor automation is far more difficult than logistic automation since variability is simply too high. Traditional shop floor investments were always driven from quality or OEE perspectives and not necessarily very well connected. Our approach is outside-in – deploy logistic automation first and then move to the shop floor.Data-Driven ManufacturingHow smart manufacturing becomes depends on the extent to which a factory is data-driven. Enabling data-driven manufacturing requires foundational investments to improve traceability, connectivity and real-time operations. We believe real-time awareness can drive machine-level and closed-loop process control critical for predictive, cognitive control of the shop floor.Real-Time Awareness and Traceability is at the CoreDeveloping real-time awareness requires wide-ranging manufacturing protocols. The following focus areas have helped us simplify the challenge: Connectivity Core systems for areas including MES, quality and SAP Analytics and AI Digital shop floor featuring one operator interface with real-time control systems Readiness of engineers, technicians and managers Each of these pillars has different level of complexity due to legacy equipment and systems, legacy processes and inexperience of engineers with automation. This makes deployment of data-driven operations a complex challenge. We looked at different project approaches for each of the focus areas: Core Systems – Build additional technology enablers and roll them out with prioritization planning. Analytics – Focus mainly on OEE and yield with automated root cause analysis and predictive approaches. Real-Time Control – Merge the initiative with factory-level programs to improve productivity and quality. With a strong smart manufacturing roadmap, the next challenge is to secure long-term buy-in on the plan and required investments from executive management. Visiting and otherwise connecting with peer sites that have already deployed smart manufacturing infrastructure is vital in this effort. Thanks to SEMI members, we were allowed to visit their factories with our management team for go-and-see tours since seeing is believing in the smart manufacturing journey. Our executives also met with subcontractors and vendors to better understand the value of this transformational undertaking.A long-term outlook is necessary to successfully develop a smart manufacturing roadmap, and executive commitment goes a long way to ensuring its success. We are excited about our smart manufacturing journey and believe it is a game changer for our factories.Adarsha MARPALLI is director of Factory Automation at Nexperia B.V.
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Semiconductors play an essential role in modern society by enabling ground-breaking technological advances. The manufacture of high-volume and advanced semiconductors requires the use of fluorinated chemicals known as PFAS. Representing the voice of SEMI members, I explained the important role of these substances and their “essential use” in the semiconductor manufacturing supply chain at a Chemical Watch conference for industry and European Union decision-makers on 3rd of December 2020.In order to achieve the European Green Deal’s zero pollution ambition for a toxic-free environment, the European Commission announced in its recently published Chemicals Strategy for Sustainability its intention to restrict the use of the most harmful chemicals, except in cases where they are deemed essential for society. Per- and polyfluoroalkyl substances – known as PFAS – are the first group of chemicals facing regulatory scrutiny on this basis. This begs the question: What chemicals should be characterized as essential for society and what uses will they encompass? The key and enabling role of semiconductors in modern lifeSemiconductors are essential and ubiquitous in our lives. They are integral to enabling modern society to function – driving advancements in mobile communication technologies for the smartphones and computers that help us work more efficiently and connect us with our loved ones. These benefits have never been more evident than in 2020 with billions of people finding themselves working and studying remotely and safely from home.At the same time, technologies relying on semiconductors have been vital in the effort to combat COVID-19 – in ventilators, medical imaging devices and digital healthcare solutions. In addition, semiconductors will also enable the next leap in society to Industry 4.0 and as essential building blocks in connected and electric vehicles, artificial intelligence (AI) and quantum computing.The Commissioner for Internal Market, Thierry Breton, has highlighted the strategic importance of semiconductors in achieving European digital sovereignty (for instance, in his speech at Hannover Messe Digital Days), and the EU’s New Industrial Strategy[1] also points to the importance of semiconductors and microelectronic systems. What must also be appreciated are the cost and complexity of producing these valuable technologies. Setting up a cutting-edge fabrication plant with the hundreds of pieces of semiconductor manufacturing equipment typically required can cost around €15 billion.[2] A single semiconductor manufacturing tool typically consists of millions of articles, and a typical fab may house several hundred pieces of equipment. Furthermore, according to SEMI estimates, the fabrication of semiconductor wafers requires approximately 500 highly specialized process chemicals. In many cases, these processes, equipment and facilities rely on the unique properties offered by PFAS.“SEMI has worked diligently to highlight the strategic importance of semiconductors in achieving European digital sovereignty, and we are pleased that the critical role of microelectronics has been fully recognized by the EU and Member States. Fluorinated chemicals are essential for semiconductor manufacturing. "These specific chemicals are necessary due to their unique properties, and no alternatives are currently available that can adequately provide the functional properties required in semiconductor manufacturing. The essential use concept, therefore, must enable technological innovation, must apply across the entire supply chain, and must enable EU’s critical infrastructure and strategic objectives.” What are PFAS, and why and where are they used in semiconductor manufacturing?PFAS are a broad and highly diverse group of substances with unique properties and characteristics. The Organisation for Economic Co-operation and Development (OECD) has compiled a list of approximately 4,700 substances,[3] a handful of which are used in the semiconductor manufacturing industry. These very specific chemicals are necessary due to their unique and unparalleled properties that enable them to be used in the demanding conditions of semiconductor manufacturing.Semiconductor chemicalsAt the very core of semiconductor manufacturing is the photolithography process, where microscopic geometric patterns are transferred onto a film or substrate. Photolithography specialty formulations containing fluorinated compounds are used in various steps of this process to ensure quality and reduce the probability of defects. PFAS must be used due to their low surface tension and compatibility with other chemicals. PFAS are typically no longer present in the finished product. However, there are applications where PFAS are present in the final semiconductor device, particularly in imaging semiconductors used in cameras, displays and some medical devices, amongst others. Semiconductor manufacturing equipmentPFAS are also essential to semiconductor manufacturing equipment and factory infrastructure. The exceptional combination of their heat and chemical resistance and their chemical inertness allows fluoropolymers to be used both in equipment components (tubing, gaskets, containers, filters, etc.) and lubrication (such as various oils and greases). These same properties are also needed to ensure the functioning of the surrounding infrastructure. Finally, some fluorinated gases, which are already regulated by specific legislation,[4] are used as refrigerants and to clean the facilities.These are a handful of examples of how PFAS are used in semiconductor manufacturing. Today, there is no other way to undertake these processes or to build semiconductor manufacturing equipment without PFAS. No alternatives are currently available that can adequately provide the functional properties required. Even if alternative chemicals and technologies were discovered today, due to the extremely complex qualification process throughout the value chain, it would take another 15 years to deploy them in high-volume manufacturing. Therefore, continued access to PFAS is a prerequisite for high-volume and advanced semiconductors. Lack of continued access to PFAS could lead to an inability to produce and supply the EU with semiconductor manufacturing technology.How should we think about essential uses?Regulators have started to think about what uses of PFAS are essential and in which cases their use should be allowed. In developing this concept, there are a few aspects to keep in mind.Essential use must enable, not hinder, technological innovationFirst and foremost, the essential uses concept should enable continued technological innovation instead of acting as a hindrance. Semiconductors and manufacturing technology are constantly evolving and becoming more diverse to help meet increasing societal demands. What we see as innovative today may be commonplace in the future, while future innovations may be unimaginable today. We must therefore be careful not to accidentally limit our future potential for innovation.Essential use must apply across the entire supply chainSecondly, classifying a use as essential should apply throughout the entire supply chain. We must, for example, avoid defining semiconductors as essential while classifying the semiconductor manufacturing equipment and chemicals used to produce semiconductors as not essential. In the semiconductor manufacturing supply chain, where one manufacturer can have up to 16,000 suppliers, this risk is evident.[5]Essential use must enable critical infrastructures and the EU’s strategic objectivesFinally, we should keep Europe’s societal priorities in mind. The EU needs to be able to maintain and protect its critical infrastructures. Similarly, we should not lose sight of the EU’s strategic objectives of a green and digital Europe.Semiconductors, in conjunction with their corresponding manufacturing equipment and chemicals, are essential technologies in everyday life and the backbone of the EU’s strategic value chains. Manufacturing semiconductors is a very expensive and complex process that would not be possible without the unique properties of PFAS, making them essential to achieving the EU’s strategic objectives today – whether the European Green Deal or digital autonomy – and in the future. Therefore, we must ensure that essential uses will enable the continued use of PFAS in semiconductor manufacturing.The SEMI presentation delivered at the Chemical Watch event can be accessed here.Emir Demircan is director of Public Policy and Advocacy at SEMI Europe.[1] “The EU will also support the development of key enabling technologies that are strategically important for Europe’s industrial future. These include robotics, microelectronics, high-performance computing and data cloud infrastructure, blockchain, quantum technologies, photonics [etc.]”[2] Emerging technologies in electronic components and systems (ECS) Opportunities Ahead – A study by DECISION, 2018 for the European Commission[3] Available here[4] Regulation (EU) No 517/2014, “F-Gas Regulation”[5] SIA Nathan Associates, 2016, https://www.semiconductors.org/wp-content/uploads/2018/06/SIA-Beyond-Borders-Report-FINAL-June-7.pdf
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If you think the world is flooded with a mind-boggling volume of digital content, then you might be just a amazed to learn about the sheer wealth of information and business opportunities that will be uncovered at this year’s SEMICON Japan as the event goes full digital.To start, more than 160 companies will exhibit their semiconductor manufacturing gear and services on the virtual show floor of Japan’s premier event for the semiconductor manufacturing and design supply chain. Add to that over 80 presentations and panels that feature global industry executives, visionaries and experts offering insights into the latest microelectronics developments, trends and technologies, and it’s easy to see how SEMICON Japan 2020 Virtual is designed to help attendees grow their businesses and the industry drive the next wave of innovations that promise to address some of the world’s greatest challenges across healthcare, the environment, transportation and other industries.Best of all, it will all be available at your convenience from your office or home 24 hours a day, making it safe and easy for you and others from all over the world to attend. Following is what’s in store at SEMICON Japan 2020 Virtual to help lead you into the future.Leading Japanese Securities Analysts to Weigh in What’s Ahead for the Chip Equipment Sector in 2021 For the first time, SEMICON Japan will feature Bulls Bears as Japan’s’ five top securities analysts focus on the 2021 outlook for the global semiconductor equipment sector. The December 17th event will include discussions on the COVID-19 pandemic’s impact on the semiconductor industry, the continuing geopolitical tensions that are forcing the industry to reconfigure its supply chains, the fast-growing China market and cutting-edge applications that are powering industry growth. The perspectives from Japan’s investment community are sure to be compelling as the region supplies one-third of the global semiconductor industry’s chip manufacturing equipment.Moderated by Akira Minamikawa of OMDIA, the panel will include these experts:Three Visionaries to Explore the Digital TransformationPowered by semiconductors, the fourth industrial revolution is driving digitalization globally, remaking societies to bring more efficiencies and conveniences to our work and home lives and help more people prosper. But the flip side of those tremendous benefits is the risk that wealth will be concentrated in the hands of people in positions of power, companies and nations. Democratizing economic development remains a serious challenge worldwide.Addressing this pressing issue, the Opening Panel on December 11 will feature prominent visionaries from political, academic and industrial communities including the following:Sony’s Leading-Edge Electric Car and Nissan’s Driver Assistance System to Highlight Automotive InnovationsCars are becoming more like smartphones on wheels, rapidly filling with more and more semiconductor chips every year with electrification and electronic driver-assisted systems to key drivers of this growth. At the SMART Mobility 1 session on December 14, two pioneering companies – Sony and Nissan Motor – will focus on both areas of semiconductor innovation.Sony’s Vision-S concept car, exhibited at CES 2020, astonished many in the electronics ecosystem and the automotive industry. What is Sony’s vision behind the vehicle? Izumi Kawanishi, Senior Vice President, AI Robotics Business at Sony will share the latest on the initiative.Nissan, maker of the pioneering LEAF electric vehicle, is the first Japanese carmaker to equip a car – its new Skyline – with the ProPILOT 2.0 driver assistance system for hands-off highway driving. Nissan Executive Vice President Asako Hoshino will provide an update on the company’s driver assistance system strategy and plans.Quantum Computing Meets Chip Manufacturing for the First Time at SEMICON Japan In contrast with current computer systems that use bits (binary 0 or 1 state) for computing, quantum computers leverage quantum superposition (0 and 1 states exist at once) to quickly solve highly complex problems that might take traditional supercomputers hundreds or even thousands of years to tease out. American physicist Richard Feynman promoted quantum computer as early as 1982, but it wasn’t until nearly two decades later and long after his death that quantum bit circuits emerged for use in superconductive materials.With quantum circuits and devices requiring state-of-art semiconductor processing technology, The Era of Quantum session on December 15 at SEMICON Japan 2020 Virtual will discuss necessary advances in chip manufacturing technology to enable the next generation quantum computing. The session will be the first time SEMICON Japan connects the semiconductor manufacturing and quantum computing communities.The program will feature the following experts:Strategies for Sustainable Semiconductor Industry GrowthSemiconductors are giving rise to a hyper-connected world that is fueling demand for staggering volumes of chips, pressuring the electronics industry to uncover new ways to increase manufacturing efficiency while reducing power consumption in a bid to help combat climate change. The Grand Finale Panel composed of executives from Japan’s semiconductor supply chain and a supervising ministry will gather for the Grand Finale Panel on December 18 to discuss ways the industry can achieve sustainable growth through innovation with a focus on energy savings and an new process technologies such as extreme ultraviolet lithography (EUV), which promises to enable electronics devices that are more power powerful, cheaper and more energy-efficient.Panelists include the following:Register TodayThe SEMICON Japan 2020 Virtual All-In Pass provides online access to all 80 presentations and panels, which will be available on-demand for replay until January 15, 2021. What’s more, all eight keynote programs will feature English subtitles. For complete information of the exposition, programs and registration, visit the SEMICON Japan website.I look forward to seeing you virtually at the event!Jim Hamajima is president of SEMI Japan.
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While Artificial Intelligence (AI) emerged in the 1950s, only in recent years have AI applications proliferated with the explosion of data and continuing improvements in Moore’s law that have driven rising processing speeds. Voice assistants, image analysis software, search engines, and speech and facial recognition systems were among the first applications to use AI. Today, adoption has spread to sectors such as agriculture, cybersecurity, healthcare, software development, e-government and the intelligent enterprise to generate jobs and help spur economic growth. The Edge AI Opportunity and the Microelectronics IndustryAI can be embedded in hardware devices such as advanced robots, autonomous cars, drones or Internet of Things (IoT) applications. Today, according to the EU’s digital strategy, data centres and other centralized computing facilities account for the vast majority – 80% – of AI data processing and analysis, with smart connected objects such as automobiles, home appliances and manufacturing robots that bring the compute function closer to the user representing 20%. The latter, known as Edge AI applications, are powered by edge-based machine learning chipsets, not the AI chipsets designed to run cloud-based machine learning algorithms.The EU’s white paper on AI published in February 2020 anticipates that the way data are stored and processed for AI applications will change significantly over the coming five years as edge computing applications proliferate. Most AI applications need to connect with devices that collect data and manage data flows. When the applications connect with cloud infrastructures to train large volumes of data for a machine learning model, the interface devices often require hardware support. Edge AI can minimize data transport by processing data directly from local devices to accelerate data analysis and decision-making and make data transport or accelerator hardware unnecessary, critical in reducing power consumption and enhancing data security for applications such as autonomous driving. Over the past 40 years, the ICT sector has been continuously increasing greenhouse gas (GHG) emissions despite efforts to shift to renewable energy. Cloud-based AI applications require an ICT infrastructure for high-performance computing and high-speed connectivity. According to MIT Technology Review, data centres’ AI workloads could account for a tenth of the world’s electricity usage by 2025. a mass update of cloud-based AI applications may significantly increase energy consumption, unlike with Edge AI. This is why the strategy for developing Edge AI is well-aligned with the EU’s Green Deal objectives. Europe aspires to play a leadership role in Edge AI to strengthen the sector’s competitiveness and protect the European digital sovereignty. Europe’s strong industrial competencies in embedded systems and microcontrollers will help the region promote development of European domestic AI solutions for emerging high-value IoT applications in industrial processes such as Industry 4.0, Connected and Automated driving (CSA), smart cities, climate action, healthcare, and national defence and security. With this strong strategic position in technology, Europe is well-positioned to invest to become the leader in the Edge AI global market.Preparing the Workforce for the Microelectronics IndustryTo design and manufacture leading Edge AI chipsets, European education providers and industry will need to work closely together to train the current and future workforces. Within the framework of the METIS project, a four-year project co-funded by the European Commission through the Erasmus+ programme, SEMI and imec deployed experts in the field to survey and interview focus groups. The survey identified the following key focus areas for workforce development: 1. True Capability of AI and Data Science With AI’s heavy dependence on data, the workforce of the future must be trained in areas of data science including data integrity to ensure quality, unbiased sourcing, collection and accurate analysis necessary to interpret huge volumes of data. Europe also needs to train the next generation of AI chip designers in data security and privacy – key challenges to the widespread deployment of Edge AI chips. 2. Climate Change, Sustainable Development Goals (SDGs) and Social Inclusion TrainingSince the industry must be able to develop Edge AI solutions to enable the digital transformation while limiting GHG emissions, microelectronics engineers need to be schooled in climate change and understand how their work contributes to meeting the United Nation’s Sustainable Development Goals (SDGs). Workplace diversity and social inclusion are also important target areas for education since Edge AI applications should serve various groups of people with different needs.3. EthicsChip industry workers must also be educated in ethical issues of AI related to the technology’s potential societal impact in the near future[1]. With AI applications capable of monitoring Internet searches based on users’ personal preferences and biases to deliver tailored advertising, news and other information, developers must recognize how the technology can influence thinking and behaviour of individuals and groups. This awareness can help developers strike a balance between supporting commercial interests and societal good so the microelectronics industry can ensure ethical implementation of AI. 4. Cross-disciplinary Skills Required for AIAI development requires a comprehensive, cross-disciplinary skill-set to be able to integrate the work of specialists from diverse educational, cultural and professional backgrounds critical to developing non-biased AI solutions. For example, in addition to technical expertise, microelectronics AI developers must be able to communicate clearly and work in close-knit teams with non-technical experts from business, law, medicine and the social sciences.What’s Next?The microelectronics industry has a tremendous opportunity to develop new chip-based solutions for AI architectures, and apply AI techniques to improve operational efficiencies of design and manufacturing. To seize this opportunity, the industry must work closely with education providers to groom the next generation of skilled workers. This tight collaboration is critical to designing and delivering specialised courses to college and university students as well as engineers now working in the chip sector. The stakes are high. By preparing workers to develop Edge AI chipsets, the microelectronics industry can help the world confront some of the greatest challenges it faces today.For more information, see SEMI Responds to European Commission White Paper on Artificial Intelligence.METIS is a Sector Skills Alliance project co-funded by the European Commission’s Erasmus+ Program and coordinated by SEMI. The four year project, launched in November 2019, will develop a Microelectronics Skills Strategy. Based on the strategy, the METIS project will design 43 training modules for 1,100 hours learning in four key areas of the microelectronics sector.We thank Patrick Blouet (STMicroelectronics) and Jeroen Geusens (imec) for their valuable contributions to this article.[1] Ethics of Artificial Intelligence and Robotics, Stanford Encyclopedia of PhilosophyDr. Yanying Li is senior manager of Collaborative Projects at SEMI Europe.Dr. Pushkar P. Apte is the strategic technology advisor for the Smart Data AI Initiative at SEMI
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I recently spoke with Chan Pin CHONG, Executive Vice President and General Manager of Products and Solutions at Kulicke Soffa, about how smart manufacturing is driving new production efficiencies in the semiconductor industry. During our conversation, he also provided practical steps for factory operators to follow in evaluating their smart manufacturing needs in order to ensure successful implementation and discussed the potential payoffs. Based in Singapore, Kulicke Soffa is a leading global provider of ball bonding, advanced packaging, wedge bonding, and electronic assembly equipment for the semiconductor, power and automotive industries.Ng: Industry 4.0 and smart manufacturing are critical to the growth of the semiconductor industry. What does the smart manufacturing movement mean to you or Kulicke Soffa?Chong: The future of smart manufacturing is the vision of building a digital connected factory to drive new manufacturing efficiencies by combining physical and cyber technologies. Industry 4.0 integrates discrete systems and harnesses the power of large volumes of data to move towards greater automation.At K S, we define smart manufacturing across the following four key areas embedded in our roadmap for all K S products, from wire bonders and advance placement tools to pick and place machines: Interoperability – This is about machines, devices and sensors connecting to each other. In fact, the very basis of smart manufacturing is that all devices are connected. Information transparency – Through simulation, various artificial intelligence (AI) tools use contextual information to emulate the actual world. Technical assistance – Robots or machines support humans in making decisions or solving problems. Autonomous decision-making – This is our vision that robots or machines can learn from machines to make decisions on their own. Ng: Please elaborate on some of these areas and how they’re the relevant to smart manufacturing. Chong: The need for machines, devices and people to communicate with each other forms the basis of connectivity, the idea of all machines communicating with each other or a host. Connectivity protocols now in place for machine-to-machine connectivity include SEMA, SECS/GEM, SEMI-ELS and IPC-CFX. Machine technology uses various sensing technologies. For example, for a pick and place machine such as SMT platform on K S Hybrid, the algorithm to recognize and align processes is part of the sensor needed in each machine before to can process and add thousands of components to the substrate or panel. In a wire bonder, the ultrasonics or EFO signal can provide some form of sensing technology for a machine to detect process conditions. Importantly, these sensing technologies can be used to collect feedback for process improvements.One example of how K S machines are connected to the host is our use of an intermediate server or host named KNeXt to connects to all assembly equipment in the fab. The equipment can then, in turn, connect to an external secured cloud or K S Global Cloud.Ng: What are the objectives for smart manufacturing?Chong: The ultimate goal is to achieve higher factory productivity or better OEE (Overall Equipment Effectiveness) by improving machine yields, productivity and efficiency. The key is to leverage AI, 5G, the Internet of Things (Iot) and other industry 4.0 technologies to drive automation and process improvements. Ultimately, each factory must meet productivity, yield and cost goals. Smart manufacturing enables factory operators to meet these goals. That is the focus of smart manufacturing.Ng: What is the biggest potential benefit of smart manufacturing?Chong: Smart manufacturing uses data to predict outcomes of a process step or machine operation. Once data is available in the global cloud, analytics can start to build data sets to run statistical modelling and examine factory operation trends. We can also use the data to identify past machine behaviors in order anticipate outcomes, including undesirable ones that we can then prevent.In the SMT example, if we can systematically examine days or weeks of historical performance, we can plot some statistical variations in the process specifically to a pick or placer or a robot and anticipate or avoid problems. However, all sensors must be in place in the bond head or the robot so that we can detect changes or variations in the robot’s movements.Kulicke Soffa smart manufacturing facility Ng: What are some recent factory improvements smart manufacturing has enabled? Chong: Kulicke Soffa has contributed to the hierarchical architecture of the smart factory and key technologies. COVID-19 is driving demand for greater factory connectivity, and K S offers solutions that are key to remote management and full control of smart equipment from a central control and embedding Internet of Things (IoT), big data, cloud computing and sensors in manufacturing. Using these technologies, a small smart factory can be remotely operated and managed.With COVID-19 limiting air travel around the world and access to support engineers, the need has grown for remote machine access to reduce the downtime per machine. Remote factory access enables off-site engineers to remotely identify and diagnose machine problems.Ng: What are barriers to faster adoption of smart factories?Chong: While most smart factories are capable of network connectivity and data collection, a key challenge is the lack of a business model for smart factories and smart equipment. Most factories must justify major capital investments by demonstrating ROI (Return of investments) potential. Capital improvements for every factory usually take several years to implement and are based on a complex business model. Factory connectivity requires substantial investments and years to implement. The same is true of the cloud infrastructure buildouts necessary to generate big data and meaningful analytics. The executive mandate for factory management to install capability usually calls for specific business targets in the planning stage.Another longstanding barrier to entry is the lack of compatibility of existing tools with new factory protocols, raising the question of whether the cost of replacing legacy tools justifies the need for a smart factory. If new factory investment is required for the latest tools to support the production of new products, the ROI will be much easier to justify.Ng: How is AI is important in smart manufacturing?Chong: AI interprets and learn from data to perform tasks and meet specific goals. Good examples of AI implementations include Amazon’s Siri and Alexa voice-command devices and self-driving cars being developed by Google and Tesla.At K S, over the years we’ve implemented AI in our smart wire bonders to reduce human intervention in our ProCu-7, PSP-2, ProCu Loop 2, Pro Bump and overhang processes.Thanks to AI, with senses of signals from the bonder, we can reduce the amount of parameters that an engineer or technician have to do trial and error. With on bonder metrology, PBI, loop height, wire sway features, AI allows us to measure process efficiency and provide feedback.Over several years of AI development, we have leveraged the technology to monitor machines and provide real-time performance feedback in order to provide better closed loop control such as short tail recovery in our bonder process. We can also use the data to predict machine behavior, monitor its health and track maintenance. Ultimately, AI enables fabs to improve manufacturing efficiency, productivity, yields and device quality.Ng: What’s an example of how AI has solved your manufacturing equipment problems?Chong: We’ve used AI to set RPM (real time monitor) limits, identify defective P-parts and monitor various conditions such as wire size and capillaries. These types of cases can arise in any manufacturing environment as humans make process mistakes or use the wrong part for a machine. With AI, we can prevent these problems and reduce the risk of further material lost from the wire bonding process.Ng: What advice do you have for factories looking to implement smart manufacturing systems?Chong: To build a smart factory, start by focusing on a clear set of business objectives and how smart manufacturing will help minimize or eliminate current factory inefficiencies. In other words, start with the end in mind – the problems that needs to be solved and the business goals – and identify the information you need to demonstrate ROI. Do you need to resolve, automate or improve processes or just to be more efficient? Before investing millions or billions of dollars to build a smart factory, identify those clear goals upfront. Then map out the particulars of implementation to avoid major problems around standards, protocols and connectivity.Bee Bee Ng is president of SEMI Southeast Asia.
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Europe is facing an acute shortage of skilled microelectronics workers that undermines the growth potential of not only the electronics industry but the European economy as a whole. Nearly 1.1 million job advertisements for electro-engineering workers were placed in the EU between mid-2018 and the end of 2019 (CEDEFOP, 2020). The shortfall looms large as a skilled and diverse workforce that can continuously innovate is the oxygen of microelectronics. In light of the critical importance of microelectronics to Europe’s ability to fulfill its growth potential, SEMI Europe participated in the high-level roundtable hosted by Commissioner Nicolas Schmit and Commissioner Thierry Breton on October 5. The discussion’s key takeaway: The skills challenge facing the microelectronics industry is too complex for one organization to tackle, and reskilling and upskilling its workforce should be a common priority for Europe. Only with a diverse, substantial and skilled microelectronics workforce can Europe achieve its R D, design and manufacturing ambitions while ensuring its sovereignty in the digital age. The roundtable highlighted the EU Pact for Skills as a key means to narrow the industry’s skills gap.An ever-growing part of our lives, microelectronics, with their ability to run billions of computations per second and store vast quantities of data, are the brains of modern technology. The digital sovereignty of nations around the world today relies on advanced microprocessors to collect, transfer, analyze and store immense amounts of data used in key end-user sectors such as mobility, telecommunications, energy, security and healthcare. Information and communication technologies (ICT) enabled by microelectronics are helping much of the world’s population to work and study from home and remain safe during the COVID-19 pandemic.According to the Smarter2030 Report, further deployment of ICT, including electronic components in critical sectors such as transportation, manufacturing, agriculture, construction and energy, could eliminate the equivalent of 12.1 billion tons of CO2 per year globally. These are some of the reasons why nations worldwide are making large-scale investments to advance a homegrown microelectronics R D, design and manufacturing base. It is no surprise, then, that semiconductors are now at the center of the so-called global techno-trade wars.Clearly, Europe urgently needs to mobilize and pool resources to develop effective lifelong learning programs for all workers and continue investing in microelectronics innovation. We need to instill the passion for creating technology among current and future workforce, in particular women and people with challenged backgrounds, and build a highly diverse talent pool. Working together, we can better demonstrate how computing technologies, including quantum, high-performance and edge AI, provide solutions to grand societal challenges and attract talented people to the fascinating world of electronic components and systems.Against this backdrop, the microelectronics industry finds the Pact for Skills very timely and crucial to advancing the talent pool underpinning Europe’s deep digital ecosystem. The Pact will play an instrumental role in improving the scope and the quality of training partnerships at regional, national and European levels, sharing best practices and helping the microelectronics industry and workforce adapt to the effects of COVID-19.The microelectronics industry is committed to building on the momentum created by the METIS Erasmus+ collaborative project and to mobilizing our ecosystem and education partners for a successful Pact for Skills in Microelectronics starting this year.The High-Level Roundtable: Skills for Microelectronics was hosted by Commissioner Thierry Breton and Commissioner Nicolas Schmit. Participants included Paul Boudre, CEO, SOITEC; Lars Reger, CEO Germany and CTO, NXP; Frits van Hout, Executive Vice-President and Chief Strategy Officer, ASML; Françoise Chombar, CEO, Melexis; Emmanuel Sabonnadiere, CEO, CEA-Leti; Luc Van den hove, President and CEO, imec; Sabine Nietzsche, Board member, Silicon Saxony and Vice President, GlobalFoundries; Laith Altimime, President, SEMI Europe (coordinator of METIS); Yolande Berbers, President, European Society for Engineering Education (SEFI); James Calleja, President, European Forum for Technical Vocational Education and Training (EFVET); Ludovic Voet, Confederal Secretary, European Trade Union Confederation (ETUC).Emir Demircan is director of Advocacy and Public Policy at SEMI Europe. To learn more about SEMI Europe advocacy, contact Emir at [email protected].
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If you bought a new car recently, you must have noticed that it warns you if one of its functions needs your attention. It even alerts the factory if repairs or major adjustments are needed. Wouldn’t it be nice to have similar capabilities for our bodies that will call for a “service” before we end up in an emergency room – or worse? The United States invests almost 18 percent of its Gross Domestic Product (GDP) in healthcare. Such a significant part of our economy deserves our industry’s attention – and it gets it. SEMI’s recent Smart MedTech webinar series tells not only patients and healthcare providers how electronic products can impact their lives, but also offers device makers plenty of ideas for developing new solutions.SEMI Gets SmartIn addition to working on many important topics with more than 2,200 member companies across the semiconductor supply chain, SEMI focuses on special areas: Smart Mobility (as covered here), Smart MedTech (covered below), Smart Manufacturing, and Smart Data. Smart MedTech was the topic of four recent webinars, organized by Melissa Grupen-Shemansky, executive director Nano-Bio Materials Consortium (NBMC), and Chief Technology Officer, SEMI. NBMC’s mission is to enable flexible, wearable human performance monitoring. In her introduction, she emphasized that healthcare will shift from today’s provider-centric approach to a personalized care model, with the following characteristics: Outcome-based Decentralized, not limited to geographies Specific to your personal health and medical needs With a team of providers, connected like never before To achieve all these characteristics, microelectronics will be an essential contributor. That is why SEMI and member companies are working on platforms to fund and commercialize R D as well as to educate potential users and beneficiaries. Grupen-Shemansky engaged a series of experts and organized four webinars to address this broad and complex field, and outline their contributions to meeting the above criteria. They have been recorded and are available to SEMI members. Call your SEMI contacts to find out where and how you can access slides and recordings of more than a dozen presentations.From Biomarkers to BioChemical Sensors Physiological RelevancyTo monitor a human body’s performance, researchers have to first understand which biomarkers indicate specific conditions of the body, then learn how to capture and process the data. Grupen-Shemansky moderated this August 5th session. Christina Davis from UC Davis, Jennifer Martin, and Sean Harshman from the Air Force Research Lab (AFRL), and Kenneth Ward from Pacific Diabetes Technologies presented their ongoing efforts in this field.Davis talked about the challenges of analyzing exhaled breath, which contains 99% water and 1% biomarkers. She showed a hand-held analyzer her team has developed (Figure 1). She also elaborated on how to interpret the captured data and, if needed, decide which follow-up treatments are advised.Figure 1: Palm-sized µCON exhaled breath micro-condenser used to analyze biomarkers. (Courtesy: UC Davis) AFRL’s Martin and Harshman outlined how ongoing and future minimally invasive techniques are being used to monitor airmen, and give them advice for self-treatment to maximize their performance. The Pacific Diabetes Technologies speaker, Ward, showed how to use minimally invasive, subcutaneous (=under the skin) oxygen sensors to detect hemorrhage (= blood loss) and control it.En Route Care (ERC) and Point of Care (POC) DiagnosticsTreating injuries right away and correctly shortens not only a patient’s suffering, but also improves his or her chances for a full recovery. AFRL’s Matthew Dalton moderated this August 12th session. Derek M. Sorensen from AFRL, Zheng Yan from the University of Missouri-Columbia, Melinda Eaton from the Virtual Health Program Management Office at the U.S. Department of Defense (DoD), and Azar Alizadeh from General Electric (GE) Research outlined their contributions to achieving instant and professional care.AFRL’s Sorensen described the many challenges a Critical Care Air Transport Team (CCATT) deals with when performing their work inside a noisy, dark, hot, or cold, shaking airplane, discussed their equipment and personnel constraints, and explained how difficult it is, even for experienced doctors, to perform emergency surgeries under these conditions.Professor Yan takes low cost very seriously and demonstrated how he and his students have developed on-skin wearable sensors that can be manufactured by using only pencil and paper.Eaton outlined the DoD’s strategy for assuring its medical force is ready to support soldiers. Then she discussed a broad range of the DoD’s traditional health management responsibilities and added that Covid-19 is now an important factor.Alizadeh addressed how GE microelectronic solutions improve the efficiency of care, reduce medical errors and length of hospital stays as well as improve workflows of caregivers. In addition to GE’s well-known, large/stationary medical equipment and communications infrastructure (Figure 2), Alizadeh showed that GE is also providing skin patches and other wearable sensors to capture data.Figure 2: The Future of Monitoring: In 2017, Mercy Hospital served 800,000 patients with telemedicine including those with chronic diseases. Patient:doctor ratio: US average 300:1. Mercy = 1100:1. (Courtesy: GE) Human Wearables Enabling Rapid Decision Making in the Integrated Care ContinuumAs Figure 2 above shows, microelectronic equipment can improve patient care and efficiency of medical personnel, but only if sufficient data can be captured timely and accurately – increasing the importance of wearables. AFRL’s Jeremy Ward moderated this August 17th session. Christopher Scully from the U.S. Food and Drug Administration (FDA), Ashleigh Coker from the AFRL’s Sensors Directorate, Ted Harmer from the AFRL’s Airman Systems Directorate, and AFRL’s Regina Shia presented for Oxana Pantchenko from NextFlex how they develop wearables jointly. Scully introduced the FDA’s organization and its responsibilities, described the high-value accurate data can provide, warned about the damage false alarms and equipment failures can cause, and explained the regulatory role the FDA plays in this context.AFRL’s Coker highlighted the essential role sensors play in modern warfare with several examples, described her directorate’s operations and showed their warfighter-centric design process (Figure 3).Figure 3: Warfighter-centric design process steps and the need to engage multiple heads/perspectives in this process. (Courtesy of AFRL) AFRL’s Harmer addressed the importance of good communications architecture and protocols to capture and compute data to assure efficient cooperation between land/air/sea/space-based forces.NextFlex’ Pantchenko prepared a presentation about standards-compliant wearable electroencephalography (EEG), electromyography (EMG), and electrooculography (EOG) devices, jointly developed with AFRL and several other companies. It was delivered by AFRL’s Regina Shia.Automation, Augmentation and AINatalie Wisniewski, Founder of Profusa, Inc. a and consultant in Wearables and Digital Health, moderated the fourth webinar, held on August 26. She emphasized SEMI’s role in this context, then introduced the speakers: Michael Kirby from Colorado State University, Kevin Zhao from Harmonize Health, Mary Clare McCorry from armi/biofab USA, and Andreas Caduff from ETH Zuerich.Professor Kirby outlined several mathematical principles that need to be applied to get meaningful results when analyzing data. He emphasized that genetic factors influence if an individual is susceptible, tolerant, or even resistant to certain pathogens and warned that bacteria can develop resistance to today’s antibiotics.Zhao from Harmonize talked about the importance of predictive analytics in remote care, how to filter out false alarms, and how to deliver the best available care cost-effectively. In closing, he emphasized that computers and algorithms are not replacing clinical staff.McCorry outlined how biofab USA, a program of armi, uses sensors and automation to grow replacement tissue and organs (Figure 4). She explained how they use engineering principles and life sciences to make guide cells grow into replacement tissue. The company’s plan is to expand the currently lab-based capabilities into an industrial scale tissue foundry.Figure 4: Growing ear cartilage in the lab. (Courtesy: armi/biolab USA) SummaryMcCorry summarized her presentation, and actually the entire webinar series, with these statements: The human body is a 3D, highly complex, dynamic, and multi-faceted biological construct Skin lends itself well as an interface between body and wearable sensors Connecting physiology (e.g. vital signs), behavior, and external factors is important for getting good results Verification, validation, and FDA involvement are important for making methods and devices successful Sensors, communication computing (AI/ML) are complementing, not replacing, medical personnel Today’s methods and devices will be outperformed by tomorrow’s solutions – stay up to date Personal CommentsSummarizing eight hours of presentations in a few pages requires a very high and lossy compression factor – please understand. I suggest you call on your SEMI contact to get access to these previous and following webinar recordings. Excellent contacts across the electronics supply chain enable SEMI to win experts in many areas to convey valuable information in these webinars.I am impressed that the USA military, specifically the AFRL, invests so much effort in medical support for airmen/women. They demonstrate that only healthy and fit personnel can take full advantage of the sophisticated weapon systems at their disposal if/when they are called upon to deploy them.This Smart MedTech webinar series confirms what many medical experts told me during exams and/or before and after surgeries: The human body is a masterpiece of bioengineering. These webinars also reminded me of what I learned at a brain-health class at Stanford University: Our brains only need about 20 Watts to perform computing and memory tasks that fairly quickly approximate the results of today’s computers – a benchmark for computer architects and AI/ML experts.Republished with permission from 3D InCites.
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Making Strides TogetherKnowledge is power – especially when it is shared. This principle formed the foundation for Micron’s Go and See virtual visit of its Singapore manufacturing plant on 26 August 2020 as 27 companies including GLOBALFOUNDRIES, ST Microelectronics, Infineon, TEL, ViTrox , IBM, HP and UTAC joined the first-of-a-kind virtual factory visit. The chip industry powerhouses gathered to see how Micron’s Lighthouse frontend wafer fabrication facility leverages Fourth Industrial Revolution technologies to drive new production and cost efficiencies.They saw clear markers of a transformed organisation and spoke with working-level staff, managers and front-line employees. Company representatives also met virtually with Micron management teams from organisations that led its digital transformation – from pilot programs to integration at scale – to realise significant financial and operational benefits. The mix of technologies they deployed to make it all happen included artificial intelligence (AI), big data analytics and the Industrial Internet-of-Things (IIoT).Micron’s Singapore-based fab facility earned Lighthouse certification earlier this year from the World Economic Forum’s Global Lighthouse Network. The Go and See tour was co-sponsored by SEMI Southeast Asia and McKinsey Company.Transformation is CrucialBy embracing Lighthouse principles, semiconductor sectors and companies can accelerate their digital transformation to boost operational and financial efficiency while helping increase productivity across the electronics supply chain. It will take time for Southeast Asia semiconductor manufacturers to transform to digital operations, though we’re seeing growing interest in Industry 4.0 practices as they begin to understand that the deployment of new technologies and applications will help them better understand real-world benefits of smart manufacturing use cases and solutions. SEMI believes shining the spotlight on companies like Micron can illuminate the way forward for other companies to help drive the industry’s digital transformation. We look forward to seeing companies build on this momentum as they start to leverage leading-edge technologies to improve efficiencies and promote sustainability.Bee Bee Ng is president of SEMI Southeast Asia.
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