Artificial Intelligence

Thanks to developments in science and technology, artificial intelligence (AI), cloud computing, big data and other technologies have been used to establish smart healthcare systems that helps societies respond more effectively to disease outbreaks. The spread of novel coronavirus starting in late 2019 has revealed how not only traditional medicine but also Smart MedTech applications can be instrumental on the anti-epidemic front lines.To give updates on the development of Smart MedTech and how it shines during the fight against COVID-19, SEMI invited Dr. Pei-Yuan Lee, Honorary Superintendent of Show Chwan Memorial Hospital, to share with MSIG (MEMS Sensors Industry Group) and Flex-Tech members how the international community and Taiwan are bringing their best in Smart MedTech to the table and how their collective efforts are helping tackle COVID-19 challenges.Taiwan’s COVID-19 rapid screening reagents and antibody testing help curb coronavirus transmissions Taiwan’s medical community has demonstrated its prowess in responding to the COVID-19 outbreak. Using its nucleic acid extraction reagent, Taiwan Advanced Nanotech Inc. tested 128 specimens from passengers aboard the SuperStar Aquarius cruise ship in only eight hours in early February. Taiwan’s leading research institute Academia Sinica successfully synthesized the first group of monoclonal antibodies capable of recognizing the new coronavirus protein on March 8, enabling testing to be completed in 15 minutes. The College of Medicine of National Taiwan University announced on March 27 that its 30-second screening device had helped identify asymptomatic carriers. The devices detect COVID-19 in people with no symptoms if they have pulmonary infiltration and edema. It took only 14 days for Academia Sinica to successfully synthesized the first group of monoclonal antibodies capable of recognizing the new coronavirus protein. On April 22, three biomedical companies in Taiwan launched a COVID-19 test that produces results from samples of patient mucus in less than 10 minutes to greatly enhance testing speed. Once the test method is approved by the Taiwan government, it will take Taiwan’s medical strategy against COVID-19 to the next level.Artificial Intelligence: the key to upgrading traditional healthcare practicesAI is a key enabler of the transition from traditional medical practice to Smart MedTech. To help fight the COVID-19 outbreak, a National Cheng Kung University medical team developed a 30-minute coronavirus testing procedure that uses AI to read pulmonary X-ray images and automate medical records. Taiwan AI Labs leveraged AI to simulate how drug molecules combine with viruses to reduce research time by three to four years. AI ​​diagnostic technology from the Alibaba DAMO Academy (Academy for Discovery, Adventure, Momentum and Outlook) and Alibaba Cloud interprets CT images of COVID-19 patients with 96 percent accuracy in 20 seconds. AI-powered algorithms improve diagnostic test accuracy, allowing clinicians to quickly analyze scans of pulmonary lesions and quantify the severity of lung damage.Startups have also joined the fight against COVID-19. Taiwan's Internet of Things (IoT) startup iWEECARE invented the world's smallest smart thermometer patch. Heroic-Faith Medical Science launched a device that uses IoT and AI to monitor lung sounds. With Smart MedTech expected to be fertile ground for future venture investments, enterprises must find their niches in establishing new technologies in a much more systemic way. Taiwan startup Health-Faith Medical Science developed a respiratory diagnostics device that uses IoT and AI technology to monitor chest sounds in real time. Anti-epidemic technology to help fulfill smart medtech vision Many AI and big data technologies previously deployed in hospitals and healthcare systems are helping regions around the world speed their pandemic response. The United States and China have started to develop facial mask recognition systems powered by AI, while a team in the Department of Bioinformatics and Medical Engineering at Asia University has devised a facial recognition system combining IoT and AI technology with infrared thermal imaging cameras. At Johns Hopkins University, the Center for Systems Science and Engineering is using AI to create big data models that track global cases, people and traffic flow, and other variables for real-time data analysis that enables epidemiologists to more accurately predict COVID-19 transmission paths. Graphen, Inc., a New York-based provider of next-generation AI platforms, launched the world's first AI COVID-19 genetic evolutionary path analysis systems to gauge the virus’s transmission route and accelerate pandemic response. Both the United States and China are also using robots and drones to improve epidemic research and patient treatment. For the first confirmed case in the United States, robots were used to assist with medical care. In China, robots facilitate deliveries of disinfectants to makeshift hospitals built to expand the nation’s capacity to treat COVID-19 patients. While Taiwan’s robots are traditionally used for hospitality, transportation and disinfection purposes, future robotics research and development will focus more on medical applications that shift more work from medical staff to technology. With abundant technological resources and expertise, Taiwan can join hands with the rest of the world to combat the COVID-19 pandemic. Emerging technologies are pointing the way toward a new paradigm for healthcare community. Biotech, artificial intelligence, and robotics have given rise to new applications that increase virus screening accuracy and efficiency. This growing wave of technological defenses against the pandemic will become a long-term force for stability and strength in healthcare systems across the world.To get involved in SEMI Taiwan Smart MedTech Community, please contact Helen Chen, Outreach Manager, at [email protected] Huang and Winnie Chang are marketing and public relations specialists at SEMI Taiwan.

During the COVID-19 pandemic, the SEMI Global Advocacy team has been working tirelessly to ensure the microelectronics manufacturing and design supply chain is classified as an “essential business” in the United States and for similar designations in several other countries so that SEMI member companies can maintain operations. Their efforts have included direct lobbying and letters to the governors of 16 states in the U.S., 23 European countries and several European Union officials across the continent, as well as government officials in Japan, Mexico and Malaysia. The bedrock of these efforts, and the reason they have been highly effective, is that our industry enables both modern digital infrastructure and technology critical in the fight against the virus.SEMI takes immense pride in highlighting the role of our industry in providing the building blocks for innovations that improve social and economic prosperity the world over. It is never more apparent that necessity is the mother of invention than during a crisis, and the pandemic has created a diverse range of demands for technological advancements to address the myriad of challenges it presents. Our SEMI Tech Spotlight blog series highlights some of the many ways that our industry and member companies are enabling technology employed on the front lines of this fight – and that we strongly believe will ultimately help to win it. Our first piece in this series focuses on platforms enabled by big data and artificial intelligence.Fighting the Pandemic with Big Data-AI Enabled PlatformsThe COVID-19 pandemic is testing humanity in unprecedented ways, but it is also uniting us to fight this crisis with the best weapons we have. Big data and Artificial Intelligence (AI) technologies – built with microelectronic chips and systems that generate, transmit, store and analyze data – are making a profound contribution to our arsenal for this protracted war. Big data-AI technologies are enabling platforms such as data analytics, robotics, augmented/virtual reality (AR/VR), 3D printing, and others that are already being applied to address many facets of this crisis.Big Data and Analytics Inform Policy In the fight against COVID-19, data analytics platforms are being used first and foremost to slow the rapid spread and to inform policy decisions. This requires analysis of massive amounts of data about public health and travel, often using AI algorithms. The state of California, for example, is partnering with companies such as BlueDot, Esri and Facebook to build a software platform that uses smartphones and location intelligence to track people’s movement and predict hospital needs. Taiwan owes its considerable success in limiting the spread of the virus to the extensive use of big data analytics for identifying and tracking carriers. Google and Apple are driving a joint effort that connects Bluetooth with their popular iOS and Android platforms to trace contacts of infected people. India has developed Aarogya Setu, a mobile app based on Bluetooth and location-mapping platforms, designed to alert citizens if they have crossed paths with another app user who has tested positive for the virus. This app was launched in 11 languages, and despite being entirely voluntary, it was downloaded by 50 million people in 13 days, making it the world’s fastest-ever to reach that number. Such contact-tracing apps, now being rolled out in at least 26 countries, carry inherent privacy and security challenges due to the sensitive data they access. While mitigation strategies like strict data anonymity and opt-in protocols are being implemented, these will need to be refined over time.Robotics Protect Frontline SoldiersToday’s robust robotics platforms are enabled by huge amounts of data from sensors and guidance from predictive AI algorithms. These robots can learn on the job, adapt to the environment, and work safely with humans. In this pandemic, they are perfect for minimizing human interaction with infectious environments. Companies around the world such as Boston Dynamics, Akara Robotics, UBTECH Robotics and CloudMinds have already deployed robots on the front lines of this war to assess patient health, disinfect hospital surfaces, and help health workers with Personal Protective Equipment (PPE).Robot drones are also delivering blood and other lab samples. For example, WakeMed hospitals in North Carolina launched the first drone delivery program approved by the U.S. Federal Aviation Administration with Matternet drones operated by UPS; while Terra Drone from Japan executed similar tasks in the hard-hit Wuhan province of China.3D Printing Speeds ManufacturingBig data-AI technologies enable 3D printing platforms by providing accurate 3D models for optimized designs and defect-free manufacturing. Low-cost, fast-cycle-time 3D printing has helped to alleviate at least some of the medical equipment shortages. For example, the U.S. Food and Drug Administration (FDA) has approved the first 3D-printed “Stopgap Face Mask” for liquid barrier protection from the SARS-CoV-2 coronavirus for healthcare workers. The U.S. Veterans Health Administration has developed this in collaboration with America Makes using an open-source database – the 3D Print Exchange from the National Institutes of Health. In another example, Formlabs worked with Northwell Health, New York’s largest healthcare provider, and University of South Florida (USF) Health to develop and test a nasal swab prototype over just one weekend, and it is now producing up to 150,000 test swabs daily. Prisma Health in South Carolina received emergency FDA authorization for VESper, a 3D printed device that allows a single ventilator to support two patients, and possibly up to four.Telehealth Becomes a “New Normal”Telehealth is not a new concept but is much enhanced by today’s microelectronics platforms that can collect and transmit rich datasets with very low latency. Further, rapid data analysis is increasingly supported by AI systems. The requirement for social distancing makes telehealth a perfect solution for many healthcare consultations. U.S. government data indicates that the daily average of telehealth claims from private insurance for upper respiratory infections increased nearly 12 times over the previous month from March 14 to April 1. Similarly, Teladoc Health coordinated 100,000 patient “televisits” in the week of March 8 – a 50 percent spike over the previous week, taking pressure off the healthcare system. The next generation of telehealth is likely to use AR/VR platforms, which use even richer datasets and AI to improve the accuracy and predictive capability of their underlying models. Consequently, these platforms can provide more realistic experiences and improved outcomes. At least 11 states in the U.S. are already working with AR/VR companies such as XRHealth and AppliedVR for primary care and many medical specialties. Accelerating the Search for a Vaccine or TreatmentThe way out of this pandemic depends on swiftly finding a vaccine and a treatment, ideally by fast-tracking the traditionally slow drug development process. Big data-AI technologies are at the forefront of such efforts globally, often using the most powerful supercomputers available. For example, researchers at the University of California, San Diego (UCSD) are using the Frontera supercomputer to build a complete model of the SARS-CoV-2 coronavirus envelope – a formidable task, requiring analysis of data from 200 million atoms and interactions between them. Researchers at Argonne National Laboratory are combining AI with physics-based models to search for a molecule that might disrupt the activity of the virus, a precursor to finding a treatment. Also, several companies around the globe such as BenevolentAI (UK), Gero (Singapore), Innoplexus (Germany-India), and Insilico Medicine (US-Hong Kong) are using AI platforms to accelerate the search for a solution. ConclusionUltimately, the success of technology is not measured by the number of bits and bytes or by the speed of algorithms. It is measured by every janitor who did not have to clean a hazardous surface because a robot did, by every doctor and nurse protected by a 3D-printed mask, and by every person whose life may be saved by the accelerated discovery of a vaccine or treatment. Big data-AI technologies, and the platforms they enable, are just coming of age – they give us hope that as they evolve in the future, we can use them to build a more resilient society and economy.Note/Disclaimer: The examples cited above are purely for illustration – they are neither comprehensive, nor intended to endorse any particular product or solution.The SEMI Smart Data AI initiative helps members realize full value in the intelligent future enabled by Big Data and Artificial Intelligence – including the large revenue upside, and the transformational potential for operational and supply-chain efficiency. For more information on the initiative, contact Pushkar Apte at [email protected] Manocha is President and CEO of SEMI. Pushkar P. Apte, Ph.D., is the Strategic Technology Advisor for the Smart Data AI Initiative at SEMI.

Japan’s Prime Minister Shinzo Abe declared a state of emergency for Tokyo, Osaka and five other prefectures[1] on April 7 in response to a startling increase of COVID-19 infections in the region’s cities in an uneasy moment for its domestic semiconductor industry. The declaration, effective through May 6, authorized the six prefectural governors to strengthen curbs on the spread of the virus and included guidance for citizens to stay home and restrictions on operations of non-essential businesses.With Japan supplying some 40 percent of the world’s chip production equipment and materials, the declaration stirred fears among semiconductor manufacturers that their uninterrupted operations – critical to sustaining the global industry – might be at risk. Japan Government Designates Semiconductor Industry as EssentialIn April 7 and 11 revisions to its Basic Policies for Novel Coronavirus Disease Control, the Japanese government allayed those concerns by designating semiconductor manufacturers essential businesses – a stark acknowledgment of the chipmakers’ vital role in combatting the novel coronavirus. The policy stated:“Among medical and manufacturing industries, we request the continuation of the following business operators in consideration of infection prevention: operators who are difficult to stop production line due to the characteristics of the equipment (such as blast furnaces and semiconductor factories); and operators who produce essentials (including important items in supply chains) for protection of the people who need medical care and support, as well as for maintenance of social infrastructure. We also request the continuation of the business operators who sustain medical care, the lives of the people, and maintenance of the national economy.”[2]SEMI Japan Reaches Out to Prefectures to Urge Essential Business Designation Equipment and materials shortages can halt production of an entire fab line and ripple through intricately connected global supply chains to stifle the production of end devices including the electronics critical to COVID-19 treatments. Electronic devices also play a central role in containing the virus’s spread by enabling artificial intelligence (AI), data analytics, digital communications, telemedicine, robotics, remote health monitoring, telecommuting, online shopping and other digital services.The essential business designation was explicit recognition that Japan’s semiconductor supply chain is integral to the global chip production ecosystem and worthy of the same protections the government has implemented for semiconductor companies. With SEMI members operating in Japan’s 47 prefectures, I sent letters to all prefectural governors three days after the second policy revision, urging them to apply the same designation, and the SEMI Japan team is following up to secure their support.SEMI Japan Encourages Government to Exempt Members from Travel Restrictions The Japan Foreign Ministry on March 31 raised to level 3 its travel advisory for 49 regions including the U.S., China, Taiwan and South Korea, encouraging Japanese citizens to avoid travel regardless of purpose to blunt the international spread of the coronavirus. SEMI Japan is working with the Semiconductor Equipment Association of Japan to urge the government to exempt semiconductor supply chain companies from the level 3 travel restrictions if they implement measures to prevent domestic infections and contagion in the visited regions. The exemptions would allow supply chain companies to install and service equipment at fabs – one key to maintaining smooth, uninterrupted operations.SEMI Supports Members with COVID-19 ResourcesSEMI international headquarters and regional offices are here to help you, our members. For more information on our webinars, surveys, best practices and other information designed to help you meet the challenges of the pandemic, please visit the SEMI Coronavirus Updates Resources page.[1] The six prefectures are Tokyo, Kanagawa, Chiba, Saitama, Osaka, Hyogo and Fukuoka.[2] Provisional translation by Ministry of Health, Labour and Welfare. Full document is available at https://www.mhlw.go.jp/content/10900000/000620733.pdf.Jim Hamajima is president of SEMI Japan.

Ischemic stroke is the leading cause of long-term disability worldwide, affecting over 13 million people each year and costing tens of billions of dollars. Sensome, a French medtech that offers connected medical devices, has developed micrometric AI-powered impedance sensors that can identify the biological nature of the tissue they touch in real-time. Integration of this proprietary technology into a probe to guide medical devices in arteries (a guidewire) has given rise to Sensome’s first product, Clotild®, which recognizes blood clot types in ischemic strokes so clots can be treated faster to improve patients’ chances of a full recovery. The Sensome technology also helps transform the current standard of care in oncology.SEMI spoke with Franz Bozsak, CEO and co-founder of Sensome, about innovative medical technology trends and how microelectronics plays a crucial role.SEMI: When did your adventure with Sensome start? Bozsak: My former Ph.D. advisor Abdul Barakat and I spun-out Sensome from the Ecole Polytechnique in Paris in early 2014 after receiving a 200.000 Euro grant from the French government. We then developed a micrometric impedance sensor that coupled to machine-learning algorithms to identify biological tissues on contact. We are still integrating this sensing technology with existing medical devices in order to create a new category of smart medical devices that provides physicians with relevant insights during their interventions and treatments. These additional insights aim to render healthcare treatments more effective by reducing the risk of complications and the cost of interventions while improving patient monitoring.SEMI: How are strokes typically treated? Bozsak: Before 2014 the almost exclusive way of treating ischemic stroke was by injecting tissue plasminogen activator (tPA) intravenously in order to chemically dissolve an arterial clot. This treatment approach has severe limitations and can only be used in the first 4.5 hours following the onset of a stroke. In 2015, several randomized clinical trials demonstrated the efficacy of a new treatment modality: mechanical thrombectomy.Medical devices that allow a clot to be removed mechanically either using a grid-like structure (a stentriever) or by aspirating the clot using an aspiration catheter completely changed the paradigm in the treatment of ischemic stroke for up to a third of all patients. This new intervention removes the clot in up to 90% of all cases and can for certain patients be used up to 24 hours after the onset of the stroke.Mechanical thrombectomy is now one of the most effective medical treatments in the world. The clinical data gathered over the past years also shows that, in order to maximize the patient’s chances to lead a life free from disability after a stroke, it is not only a question of getting the clot out but also about how the clot was removed. Removing the clot on the first attempt significantly increases the patient’s chances of recovery – the first-pass-effect that is now the objective when treating ischemic stroke patients. And this is exactly where Sensome wants to help since clot removal after several attempts increases risk for patients. SEMI: How did you improve mechanical stroke treatments?We have integrated our sensor technology into a guidewire, the first device to enter a patient’s blood vessels for navigation to the clot. Once in place, the smart guidewire – called Clotild® – guides the thrombectomy device to provide the physician with information on the clot to help the physician choose the thrombectomy device with the highest chances of achieving the first-pass-effect. SEMI: Medical technology has made astonishing advances over the years. How did Sensome develop the micrometric AI-powered impedance sensors?Bozsak: The development of a product like Clotild® would have not been possible five years ago, and many people considered what we wanted to achieve simply incredible. Today, we can answer those same people: We knew it was almost impossible and therefore we just did it. By combining diverse semiconductor technologies, we were able to build the smallest impedance meter in the world. This was then integrated into a guidewire that can be connected via a transmitter to a tablet that serves as the interface with the physician. The guidewire provides impedance measurements that can be analyzed by a machine-learning algorithm, which in turn identifies the tissue in contact with the sensor. A very diverse team of people, collaboration and several different disciplines such as micro-electronics, data science, biology and engineering were required to make this happen.Our ambitious team has been able to flourish and accomplish their ideas in the very stimulating and resourceful environment of the Ecole Polytechnique, while being embedded into the rich and fertile start-up ecosystem of Paris. It is the combination of all these factors taken together that have made our innovation possible.SEMI: What are the main challenges and what are the market opportunities? Bozsak: Bringing semiconductor technology into the medical field is not a straightforward process. The primary hurdle is the simple fact that medical device production volumes are not comparable with consumer electronics volumes and that development cycles are much longer due to regulatory constraints. Both factors are, at first sight, not necessarily compatible with today’s business model of the semiconductor industry. At the same time, this is also a unique opportunity for the semiconductor industry to diversify and expand into a new field – sensors and, in particular, their seamless integration into the healthcare workflow, are a key driver for the healthcare sector of the future. And to achieve this objective, semiconductor technologies are key. What is beneficial, in my opinion, is that the quality standards and requirements of the semiconductor industry are highly compatible with the needs of the medical device industry.SEMI: Are market fragmentation and the high level of regulation making medtech innovation harder?Bozsak: Both are challenging but very rewarding to pursue since the impact on a patient’s life can be profound. Innovation is harder because many stakeholders are involved in ensuring the success of a medical device launch. The involved, milestone-driven, highly regulated process of developing a medical device and bringing the device to the market assures its eventual success. The development process differs very much from those for normal consumer devices. In our case the beneficiary, the patient, is not necessarily the user of the device but rather the physician. The physician is not necessarily the buyer of the device, but the hospital. The hospital is not necessarily paying the device, but ideally the government.The interests of all these stakeholders need to be satisfied to bring a successful device to the market.SEMI: What are your expectations regarding the future of medtech digital innovation? Bozsak: This is the right moment for the medical device and semiconductor industries to come together. The healthcare sector is not low on medical needs for which innovative ideas exist, and the semiconductor industry has many technologies that can enable these ideas to generate solutions. But to make this happen, both sectors need to collaborate. Working together requires both sides to understand their respective needs and constraints. The earlier the knowledge exchange starts, the more powerful the solutions. SEMI MedTech Forum at SEMICON Europa last year was a wonderful opportunity for Sensome to get this discussion going. We are looking forward to continuing the exchange and push the frontiers of the possible further to create the future of digital healthcare.Franz Bozsak, CEO and co-founder at Sensome, obtained a M.S. in Aerospace Engineering from the University of Stuttgart and a Ph.D. from the Ecole Polytechnique in Biomedical Engineering on the optimization of stents. He is a graduate of the Stanford Ignite/Polytechnique business program. In 2014, he co-founded Sensome and has since built a team of renowned scientists, engineers and doctors to realize his vision of connected medical devices. He was named Innovator Under 35 by the MIT Technology Review in 2016. Serena Brischetto is a marketing and communications manager at SEMI Europe.

SEMI has urged government representatives around the U.S. and world to designate the semiconductor industry as an essential business so operations at companies across the chip supply chain can continue without interruption as the spread of COVID-19 continues. SEMI President and CEO Ajit Manocha assured the U.S. and global officials that SEMI members – the device makers and suppliers of chemicals, materials, components, design tools and equipment at the heart of chip manufacturing – “are employing all measures necessary to maintain the health and safety of their employees and local communities” to help contain the virus. Manocha last week sent letters to the governors of 16 states and the chairs of the National Governors Association, U.S. Conference of Mayors, National League of Cities, and National Association of Counties requesting consideration of the semiconductor industry as an essential business if shelter-in-place or similar orders are issued to curb the spread of COVID-19. More than half of U.S. states have imposed shelter-in-place or stay-at-home orders in the past month. The designation would allow SEMI members to maintain continuous operations to ensure that manufacturing of components for critical infrastructure equipment, the defense industrial base, and other vital technological products and services is not jeopardized. Semiconductors are the foundation of modern electronics and information technology and are critical in helping health workers effectively treat COVID-19 symptoms, Manocha told the officials. The devices also play a central role in containing its spread by enabling artificial intelligence (AI), data analytics, digital communications, telemedicine, robotics, remote health monitoring, telecommuting, online shopping and other digital services.Manocha urged state and local officials to follow guidelines issued on March 19 by the Department of Homeland Security (DHS) Cybersecurity Infrastructure Security Agency (CISA) identifying “manufacturers and supply chain vendors that provide hardware and software, and information technology equipment (to include microelectronics and semiconductors) for critical infrastructure as ‘essential critical infrastructure workers.’” Most states issuing shelter-in-place or stay-at-home orders have followed the DHS guidelines and/or separately designated the semiconductor industry an essential business. Likewise, other nations have recognized the power of technology in effectively containing COVID-19 and similarly designated the semiconductor industry an essential business.On March 27, SEMI, the Semiconductor Industry Associations in China, Europe, Japan, Korea, Singapore, Taiwan and the U.S., as well as several other trade associations in Asia issued a statement “calling on all governments to specify semiconductor industry operations as ‘essential infrastructure’ and/or ‘essential business’ to allow continuity in operations.” The global semiconductor supply chain forms a highly intricate network consisting of research, design and manufacturing operations. Operating restrictions in one region can compromise production in others, leading to inefficiencies and breakdowns that cascade across the supply chain.With semiconductors underpinning vital sectors of the global economy, the chip associations called on all global governments at all levels – central, states, provinces and localities – to help protect the uninterrupted operations of domestic semiconductor companies and their suppliers by applying the essential infrastructure or essential business designation.Joe Pasetti is Vice President of Global Public Policy and Advocacy at SEMI.

The march of innovation in semiconductor microfabrication technology over the past 60 years has produced electronic devices and information systems that have transformed industries and lives around the world. And while advances in chip technology continue to make it possible to collect, transmit, store and process more data for a rapidly growing universe of applications, the pace of innovation is now facing strong headwinds. Powered by chip innovation, data centers have become massive centers of information processing but, on the downside, enormous consumers of electricity. Today, the power-hungry hubs account for five percent of the world's electricity usage, a proportion that is growing every year, raising important questions about sustainability. Compounding the challenge, the pace of Moore's Law, for decades the engine of electronic device and information system innovation, has slowed. While the research and development of state-of-the-art semiconductor fine processing technology remains robust, developing the advanced manufacturing technology for mass-producing more sophisticated electronics devices is becoming harder, as is ensuring business profitability."It has become difficult for semiconductor technology to continue to evolve as it has in the past," said Akira Minamikawa, Research Director of Technology Research at IHS Markit, who moderated the Semiconductor Executive Forum – View by Top Two in the Era of Digitalization on opening day of SEMICON Japan 2019 at Tokyo Big Sight. Held at the SuperTHEATER, the forum featured Terushi Shimizu, representative director and president at Sony Semiconductor Solutions, and Atsuyoshi Koike, president at Western Digital Japan, two industry powerhouses that could figure heavily in the future of digital technology. SuperTHEATER, the main stage at SEMICON Japan 2019 Image sensors evolve to become eyes of AIImage sensors are becoming eyes of artificial intelligence (AI) and intelligent systems that monitor people and events worldwide, collecting data that one day could help puzzle out growing social challenges such as energy conservation and traffic congestion. With 51 percent market share on the strength of its industry-leading technology, Sony Semiconductor Solutions dominates the image sensor market. Despite last year’s global semiconductor industry slump, the company’s “business continues to enjoy strong growth and we are very busy,” said Shimizu, who attributed the company’s robust performance to the rising importance of the social role of image sensors and the expanding number of applications they support.The success of the company’s image sensors can also be traced to its division of the image sensor market into two application categories: "Imaging" focuses on capturing beautiful image data, while "sensing" aims to collect data that accurately describes the state of a subject and its surroundings."In 2019, sales of imaging products for smartphones grew rapidly,” Shimizu said in his market overview. “This is due to the average annual 15 percent growth rate of multi-camera smartphones, with some phones today featuring seven cameras, and an average annual growth rate of 20 percent in sensor size to produce higher image quality."But Shimizu cautioned that Sony Semiconductor Solutions doesn’t expect the smartphone sensor market to maintain that fast growth rate."The imaging market is expected to grow until 2022, but after that, the sensing market will drive market growth,” he said, adding that the company’s “capital investment plan is based on this scenario."AI will be key in catalyzing growth of the sensor market as integrations of AI processing engines and sensing images grow in sophistication to capture images undetectable by the human eye, Shimizu said. AI will extract insight from captured image data. For its part, Sony will apply its layer stacking technology to sensing products."By stacking an AI processing engine, we want a significant portion of the recognition processing done within the sensor chip," Shimizu said.One sensor the company already offers collects in-depth information for indirect time-of-flight (ITOF) 3D ranging for new user interfaces relying on autonomous or gesture control for robotics. The sensor “was first used in smartphones in 2018 and saw widespread adoption in 2019," Shimizu said.Sony Semiconductor Solutions plans to focus on developing new sensors for integration with their ultrasonic cousins. Aided by optical deflection technology, the sensors will be used for product quality inspections during manufacturing.With the company’s growing strengths in sensor technology, it hopes “to increase sales of sensors from a few percent of the company’s total sales in 2018 to 30 percent in 2025,” Shimizu said, pointing to its goal "to capture 60 percent share of the image sensor market by 2025."Data as one way to spread happinessAt the heart of consumer devices such as smartphones and computers and also cloud servers, NAND flash has made it possible to process vast troves of data anytime, anywhere. In recent years, the technology has enjoyed stronger adoption for use as the storage medium of choice for edge computing, stationed between end devices and the cloud to help streamline data utilization. But the technology isn’t merely about making smarter use of bits and bytes."We would like to promote the technology development that can support the use of data to bring happiness to people around the world," Koike of Western Digital Japan said. The company calls data that contributes to individual happiness and helps solve social issues "data for good" and, like the Sony Semiconductor Solutions bifurcated classification of the image sensor market, categorizes information into “big data” and “fast data.”For example, big data can leverage AI to drive dramatic improvements in the interpretation of test data and, ultimately, the diagnostic accuracy of mammography for breast cancer screening, aiding in early detection to help save lives, Koike said. Fast data can be harnessed to analyze data collected from a manufacturing equipment line in real time to improve production efficiency. The company’s plant in Yokkaichi, Mie Prefecture, which the company operates in cooperation with Japanese memory manufacturer Kioxia, already uses fast data to bolster production.More NAND flash innovation and greater supply capacity are critical to developing "data for good," Koike said. "It is difficult to expand clean rooms at the same pace as data usage grows. In order to continue to advance technology and enhance supply capacity, we need to adopt new ideas for building production lines. We need a smaller equipment footprint, shorter cycle time and higher throughput."Semiconductor market shows signs of recoveryIn their discussion of the short-term outlook for the semiconductor market, Shimizu and Koike pointed to the importance of strengthening the talent pool of Japan’s semiconductor industry as global competition heats up with China’s pursuit of semiconductor independence and the industry pulls out of the 2019 slowdown fueled by weak memory prices. While Sony’s business has been buoyed by strong image sensor demand for smartphones, the devices “did very well, but other applications didn't," Shimizu said. Even the image sensor market stagnated.Despite the 2019 slump, market conditions and capital investments by semiconductor manufacturers have been on the upswing."In the second half of 2019, the Chinese market showed signs of recovery triggered by 5G,” Shimizu said. “In 2020, this movement is going to be in full swing around the world and we will be busier than last year."Koike agreed: "The semiconductor market for data centers will recover with 5G. The hard disk shortage is already an indication of a recovery, a turnaround that will undoubtedly extend to solid state drives (SSDs). In addition, advances in autonomous driving technology will ensure continued growth of the automotive semiconductor industry.”Japan should embrace international competition, not fear China's pursuit of chip independenceIt's no secret that China is investing heavily in its semiconductor development capabilities to move up the microprocessor value chain. Minamikawa posed the question: How should Japanese chip companies navigate the shifting regional balance of power? "It is natural for China to strive to establish domestic procurement of semiconductors that are fundamental technologies for various industries,” Koike said, “I think the efforts of Chinese companies are outstanding in that they are not pursuing short-term results, such as improving yields in the near future, but are making efforts with an eye to achieving results in 10 years. Japan has a variety of options including working with China to create joint ventures and competing head-on. Regardless of which choice we make, however, it is imperative for the survival of domestic companies that Japan maintains its technological competitiveness to remain ahead of China."Shimizu said that Sony’s “Chinese customers are quick to take action and study extremely hard. We often have opportunities to share our roadmap with them and explore innovation opportunities together. Before, they were passive and relied on us for insights into new technologies, but now they are more assertive and I sense that they will start to drive innovation.”Koike added that "although Japanese companies often talk about business globalization, neither Chinese nor American companies say much about it. While global expansion is a major requirement for business, I think Japanese companies need to focus more on the Japanese market overall, not just when they think about the growing competitiveness of Chinese companies." L-R: Akira Minamikawa, Research Director of Technology Research at IHS Markit; Atsuyoshi Koike, president at Western Digital Japan; Terushi Shimizu, representative director and president at Sony Semiconductor Solutions Talent key to bolstering competitiveness of Japan’s semiconductor industryMinamikawa of IHS Markit didn’t mince words in describing the talent shortage in the Japanese semiconductor industry as “grave,” saying that “the workforce challenge is not endemic to the electronics industry as evidence grows that the number of people obtaining doctorates in Japan is falling and the educational level of the Japanese population as a whole is in decline.”Three years ago, Shimizu interviewed professors on Kyushu island for insights into Japan’s talent shortfall. He came away feeling that “Japanese semiconductor companies were not sufficiently communicating the industry's talent and innovation needs to professors. To help professors and students better grasp the appeal and potential of the industry, we have started to send frontline engineers to universities to educate students and instructors about their work and careers. Expecting corporate HR departments to alone solve the talent shortage won’t work.”"In Japan, if you advance to a doctoral course, you will have a hard time getting a job, which is a strange situation,” Koike said. “Companies and universities need to work together more closely to better understand how to attract and hire doctoral graduates."Minamikawa said companies must have strong leaders with clear missions to attract the right talent, but Koike pointed to the drawbacks: "The image of a company with a strong leader seems to be cool, but it also has a downside because engineers stop thinking for themselves and wait for instructions from the top. I believe it is important for company leaders to have ongoing discussions at all organizational levels and lead the way in times of confusion."Shimizu agreed, citing his own company as an example."Thankfully, our company is very busy right now,” he said. “However, some employees are starting to request more time to think about how to improve the quality of their work. To maintain and strengthen our competitiveness and continue business growth, I believe it is important to cultivate an environment that encourages each employee to take more time to think for themselves."Motoaki Ito is the CEO of Enlight, Inc. and a reporter for SEMI. Mayumi Amagai is a marketing manager at SEMI Japan.

Smart technologies have gripped the world’s imagination with their promise to revolutionize the way we live and work. With the semiconductor supply chain central to these advances, SEMI Japan in October hosted 200 members for SEMI Japan Members Day as speakers from three of the world’s top device manufacturers – Denso, Sony and Kioxia – offered their perspectives on the strides the semiconductor industry needs to make in three key areas: automotive, smart manufacturing and 3D flash memory manufacturing technology. Automotive Evolution and Electronics – DensoThe automotive industry is re-inventing itself to innovate across connectivity, autonomy, sharing and electric (CASE) and ensure safe, comfortable and environmentally friendly autonomous driving, said Nobuaki Kawahara, executive fellow and director of the Advanced Research and Innovation Center at Denso. Key focus areas of Denso in CASE innovation are Extraordinary Safety and Everyday Confidence. The company’s goal is to minimize damage to vehicles involved in collisions or one-car accidents by making it easier for drivers to detect and steer clear of objects in their path.To improve automobile safety and security, the company is developing advanced driver-assistance systems (ADAS) and autonomous driving technologies as it promotes the confluence of four areas of technology – HMI (Human Machine Interface), environmental recognition, vehicle control assistance, and information and communications. One use case Denso sees as a significant opportunity is deploying sensors such as millimeter-wave radar, cameras and LiDAR to monitor a vehicle’s surroundings, using GPS and precision mapping to pinpoint its location and determine the best route for safety and distance, and then transmitting that information to a motion-control system.Denso is also out to solve the hard challenges associated with autonomous driving in dynamic road conditions. Kawahara pointed out that road conditions vary and that rules for "driving at certain intervals in a certain lane" vary depending on the time of day. Also, on public roads in Abashiri, Hokkaido, where the company is currently conducting field tests, snowfall makes it difficult to recognize road images and gather sensor information. In Asia, it is also common for motorcycles and automobiles to speed along with very little space between them.Image Sensors to Accelerate Development of Smart Manufacturing – SonyTo fulfill the promise of smart manufacturing, the semiconductor supply chain must continue to invest in sensor and imaging technology innovation, said Shigeo Ohba, deputy senior general manager of the Imaging System Business Division at Sony Semiconductor Solutions. For its part, Sony is developing imaging sensors that help network and automate factories to achieve new production and cost efficiencies. For example, the company plans to design devices to increase equipment uptime through predictive maintenance, reduce defect rates and drive other manufacturing efficiencies. The challenge with today’s factory lines that produce a number of different devices is that they are highly complex to manage and therefore prone to human error, undercutting manufacturing efficiency. In the future, AI-powered machines will leverage data analysis to help streamline operations. Adapting an image sensor with AI to machine vision applications can simplify key processes such as measurement and inspection processes while reducing safety and security costs.Of the vast amount of information on all machines connected to the cloud, only essential details will be processed at the edge since edge data processing offers stronger security and reduces data transfer time. Ohba said image sensors will evolve based on edge AI, adding that "AI will be a paradigm shift for image sensors if it’s economically feasible."3D Flash Memory Manufacturing Technology Challenges – KioxiaIncreasing connectivity in factories for smarter, more efficient operations places huge demands on memory since networked devices typically store duplicate data, said Hideshi Miyajima, head of the Advanced Memory Development Center (AMDC) at Kioxia. To meet demand for higher networking speed and capacity, 2d NAND flash memory is moving to 3D and, in particular, three 3D techniques: multivalued memory, cell partitioning and layer stacking.To increase storage capacity, the third-generation 64-layer BiCS FLASH™ stacks layers to form nearly two trillion holes with a diameter of 100nm and a depth of 5μm on a wafer and places a uniform 2-3nm thin film on the inner wall of each 5-μm hole. For its BiCS FLASH™, Kioxia uses a dry etching technique that forms a straight, elongated through-hole and atomic layer deposition (ALD) technology, which creates a uniform laminate atomic layer on the wafer surface to grow materials uniformly and with high precision on large, complex substrates.In order to meet the cost expectations of high-volume 3D flash memory manufacturers, outlays across fabs must be reduced by better monitoring plasma control, enhancing yield through particle control, speeding film formation, and reducing gas, power and water usage, Miyajima said.SMART Transportation and SMART Manufacturing in the Spotlight at SEMICON JapanPlease join us at SEMICON Japan 2019, December 11-13 at Tokyo Big Sight, for the latest developments and trends in SMART Transportation and Smart Manufacturing. There are also a few other great reasons to attend. We look forward to seeing you in Tokyo!Jim Hamajima is president of SEMI Japan.

Part 2 of 2-part series on MSEC 2019 highlights. Read Part 1. Neural Networks on ChipTo be sure, low power is king when bringing machine learning to the sensor edge. Battery-powered, always-on sensing devices require it since frequent recharging is the death knell of any electronic product. That’s why semiconductor companies are offering new ways to conserve power.“MEMS sensor suppliers have made significant strides in the power, size and performance of their devices,” said Aspinity CEO Tom Doyle. “Yet these gains deliver only incremental power improvements to the system.”Doyle advocates a new architectural model that uses an analog neuromorphic processor to analyze all sensor data at the start of the signal chain instead of sending it downstream so power-hungry chips such as DSPs can digitize it before analysis.“The technology industry wants to take advantage of the many benefits of always-on sensing applications,” said Doyle. “Before we can reach mass proliferation, however, we need to resolve the power issues that are deal-breakers for some applications. We believe the answer to this challenge is architectural. All the data gathered by always-on sensing systems is analog in nature, yet as soon as it’s captured, it’s digitized immediately for analysis. Determining which data is important up front eliminates the digitization and processing of irrelevant data so that voice-first devices such as smart speakers and wearables/hearables can run for long periods of time without requiring battery recharge.”Syntiant CTO Jeremy Holleman agreed that on-device intelligence is the future.“Did you just fall? Is your heartrate a bit off? Deep learning provides a toolset that yields vastly superior decisions,” said Holleman. “The problem is that deep learning is computationally intensive. The answer is a neural network that performs on-device edge inferencing.”Holleman added that Syntiant’s neural decision processor was recently certified as Amazon Voice Service (AVS)-compliant for wake-word detection, making it easier to design voice control in battery-powered devices such as earbuds and wearables.MSEC Technology Showcase WinnerWith the groundswell of interest in intelligence at the edge, it was no surprise that Cartesiam won top honors among all competitors in the MSEC Technology Showcase for its NanoEdge AI, software that brings AI to the edge of the signal chain, making it easier for designers to create intelligent objects that can learn and understand.“Unlike other AI algorithmic technologies for sensing devices, NanoEdge enables both learning and inference at the edge, providing accurate and adaptive intelligence,” said Cartesiam Managing Director and Co-founder Marc Dupaquier, who accepted the award. “It’s also the only tool of its kind that does not require data scientists on board for implementation, which saves a tremendous amount of money. Our clients can build a machine learning library and embed it into their own code within weeks to realize the same caliber of unsupervised neural network that was once the exclusive domain of AI cloud vendors.”MSIG 2019 Hall of FameAt this year’s conference, MSIG Director Carmelo Sansone recognized two longtime contributors to the commercialization of MEMS and sensors: Peter G. Hartwell, Ph.D., chief technology officer at InvenSense, a TDK group company; and Thomas Kenny, professor and senior associate dean of engineering at Stanford University.Hartwell leads technology strategy and the InvenSense advanced technology research group. He has more than 25 years’ experience commercializing silicon MEMS products, including advanced sensors and actuators, and developing MEMS testing techniques.Kenny’s academic accomplishments include authoring or co-authoring more than 250 scientific papers and holding 50 issued patents. He has also advised more than 50 graduated Ph.D. students from Stanford.MSEC 2020Mark your calendar for next year’s MSEC, October 12-14, at Coronado Island Marriott Resort Spa in Coronado, Calif. Get updates from MSIG on MSEC and other upcoming events including MSTC 2020.Stay in Touch with MSIGMEMS Sensors Industry Group (MSIG), a SEMI Strategic Association Partner, is the industry association representing the global MEMS and sensors supply chain. To learn how MSIG enables professionals in the MEMS and sensors industry to innovate, address common challenges and accelerate business results, visit us today.Connect with MSIG on Twitter and LinkedIn. Subscribe to SEMI Blog: Technology and Trends.Maria Vetrano is a public relations consultant at SEMI.

Part of 1 of 2-part series on MSEC 2019 highlights. Read Part 2. MEMS and sensors are proliferating across consumer, automotive, biomedical/healthcare, robotics, industrial and agriculture applications to harvest sensory data in a hyper-connected world and meet demand from consumers and organizations alike as they clamor for more intelligence in electronics.Take the ubiquitous iPhone. Shipped in 2007, Apple’s first iPhone sported five sensors. By contrast, the most feature-packed smartphones will embed up to 20 sensors by 2021, according to Yole Développement’s Jérôme Azémar. He estimates that the devices will feature four MEMS microphones, four CMOS image sensors (CIS), a RGB color sensor, a laser rangefinder, an infrared sensor, a gas sensor, a heart rate monitor and a fingerprint sensor, not to mention the MEMS inertial sensors that device users have come to know and trust.The MEMS market is expected to reach $18.5 billion in 2024 [1], up a whopping 60 percent from $11.6 billion in 2018, according to Azémar, who presented at MEMS Sensors Industry Group’s 15th annual MEMS Sensors Executive Congress (MSEC) in late October in Coronado, Calif. Add other types of sensors to the mix – CIS, environmental sensors, LiDARs, radars, ultrasonics, and fingerprint sensors – and the market will mushroom to $93 billion by 2024, said Azémar.Since MEMS Sensors Industry Group (MSIG) joined SEMI as a Strategic Association Partner three years ago, SEMI has expanded its MEMS and sensors programs to Europe and Asia while continuing to grow its U.S. conferences. “SEMI is continually investing in MEMS and sensors innovation across the supply chain,” said Dave Anderson, president of SEMI Americas and host of MSEC. “For example, MSIG is contributing to the development of the Heterogeneous Integration Roadmap, an initiative designed to drive heterogeneous integration technology development and accelerate electronics innovation. The roadmap spans device design, test and fabrication, ecosystem development, R D, equipment and materials. “At MSEC, executives and other speakers explored how AI and blockchain are remaking the food supply chain, air transportation and other sectors as MEMS and sensors improve the quality of our lives,” said Anderson.Sensing at the EdgeThe concept of artificial intelligence (AI), that a machine can harness intelligence that rivals or outperforms humans – and act without human intervention – has been a feature of the human imagination since at least the 1968 film 2001: A Space Odyssey. MEMS and sensors facilitate intelligence in a wide range of electronics such as smartphones, healthcare wearables, robots, industrial predictive maintenance systems, and cars. AI is sure to augment that functionality.MEMS and sensors are now in their third wave of evolution, a focus on edge AI, Bosch Sensortec CEO and General Manager Stefan Finkbeiner told MSEC attendees. For its part, Bosch is working to add AI to MEMS devices. The first wave integrated software with MEMS sensors, and the second, sensor fusion, enabled designers to allocate performance and power strategically to tune MEMS for resource-constrained devices. The third wave is “an active-learning phase in which MEMS facilitates real-time learning at the edge to promote greater personalization, environmental feedback, privacy of user data and improved battery life,” said Finkbeiner.Small sensor nodes with edge AI exemplify third-wave applications. Integrating low-power environmental sensors (e.g., gas, temperature, pressure, humidity and air-flow sensors), the nodes could be deployed in fire-prone forests to assess fire risk and support early detection. Access to this real-time environmental information could prove invaluable to residents and public-safety personnel alike.Google takes another tack, applying machine learning to resource-constrained devices, said Nick Kreeger, a senior software engineer at the Internet giant. The company’s Google Brain creates machine learning models that can run on inexpensive, low-power microcontrollers using Google’s TensorFlow Lite, an open-source machine learning tool that’s been deployed on a multitude of mobile devices. Inferencing is done at the device’s edge, rather than transmitted to the cloud.Meeting the power constraints of battery-powered sensing devices is another matter that starts with minimizing energy and data waste. “Deep learning is compute-bound and runs well on existing microcontrollers,” Kreeger said. “Because it’s all arithmetic, it’s low-power compared to storage access.”Already Google has worked with Plant Village, a research unit at Penn State University, and the International Institute of Tropical Agriculture (IITA) to help farmers improve food production by using machine learning and cheap sensors to spot and manage planet diseases in developing countries. And that production chain is in dire need of a boost, according to Rajendra Rao, general manager of IBM Food Trust, an enterprise-class blockchain solution.“We are on the cusp of complete failure of the food system,” Rao said. “One out of 10 people gets sick each year from foodborne illness, 420,000 die from this annually, 80 percent of companies in the food supply chain have not digitized, one-third of all fresh food in the US is thrown away, and one in five seafood samples worldwide is mislabeled.”IBM Food Trust’s work with Sucafina, which manages a global green coffee supply chain, shows how sensors can trace food from the farm to the processing plant to the consumer. With the IBM Food Trust platform, Sucafina can track the origin of the beans used in a cup of coffee – a competitive differentiator to coffee drinkers eager to support fair-trade coffee roasters.ripe.io, one of Forbes’ 25 most innovative AgTech startups, is also tackling the challenges and complexities of the food supply chain.“Our secure blockchain platform creates a digital twin of food items, transparently aggregating foods’ journey in real-time, to provide a harmonized trustworthy platform for multiple stakeholders,” said Rachel Gabato, the company’s COO. The ripe.io blockchain-based platform collects data from various sensors – temperature, pressure, light, humidity and inertial MEMS sensors. Growers, distributors and end customers including sweetgreen – a U.S. restaurant chain that depends on fresh produce – use the information to trace the origin and quality of food.MSEC 2020Mark your calendar for next year’s MSEC, October 12-14, at Coronado Island Marriott Resort Spa in Coronado, Calif. Get updates from MSIG on MSEC and other upcoming events including MSTC 2020.Stay in Touch with MSIGMEMS Sensors Industry Group (MSIG), a SEMI Strategic Association Partner, is the industry association representing the global MEMS and sensors supply chain. To learn how MSIG enables professionals in the MEMS and sensors industry to innovate, address common challenges and accelerate business results, visit us today.Connect with MSIG on Twitter and LinkedIn. Subscribe to SEMI Blog: Technology and Trends.[1] Source: Status of the MEMS Industry report, Yole Développement, 2019Maria Vetrano is a public relations consultant at SEMI.

Back in February of this year, we launched SEMI Works™, a landmark SEMI program designed to grow and sustain the electronics industry talent pipeline from the ground up. But it was much more than a program launch. The introduction was a resounding statement of our passionate commitment to workforce development and its incontrovertible importance to the future of the microelectronics industry. No one’s passion for workforce development burns brighter than SEMI CEO Ajit Manocha’s. In April, he reiterated SEMI’s focus to make good on this commitment and laid out the broad outlines of SEMI Works. From the outset, our sights have been firmly fixed on execution. The National Science Foundation (NSF), a United States government agency that supports fundamental research and education in science and engineering, recently lent its support to SEMI Works with a $6 million investment to develop a scalable, sustainable apparatus to meet current and future talent requirements of the end-to-end electronics manufacturing industry. And more financial backing – this time from abroad – could well be in the offing. We are pressing ahead to develop the infrastructure to connect talent, industry and education providers at scale. We are expanding proven programs for exciting and engaging students in experiential learning opportunities at a young age. And we are paving the way to offer career and educational pathways through high school, college and adult and veteran training. Regional partners are essential to scaling these programs, and to date we have identified three regions for pilots to develop the infrastructure and business model that will be heartbeat of SEMI Works.Moore’s Law is losing steam, raising hard questions about the semiconductor industry’s ability to maintain its swift pace of innovation. The clarion call for chipmakers is to design ever smaller electronic circuits with higher processing power for devices with shrinking form factors. More computing muscle is crucial to advances in smart manufacturing, medtech, quantum computing, artificial intelligence (AI), 5G and the IoT – all technologies that generate and consume staggering amounts of data.Yet no obstacle to industry growth stands as tall as the brick wall of the talent shortage. A highly skilled workforce is essential to invention. As an industry, we’ll only be equal to the world’s greatest challenges by recruiting, training and retaining the best and brightest.At this critical juncture in what is the world’s most strategic industry, the public and private sectors must work collaboratively to leverage their collective strength to produce the talent required to power technology development today and well into the future.In 2020 SEMI will mark 50 years of facilitating collaborations to mint new technologies and markets. We are uniquely positioned, with our members, to lead what history may one day record as our most important effort to date, a push that could impact the world for decades to come. The industry needs a lasting solution to expand and sustain its talent pipeline. SEMI is taking decisive action with SEMI Works. Mike Russo is vice president of Global Industry Advocacy at SEMI.