healthcare

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.

MEMS and image sensors are shining stars in the chip industry as technology companies worldwide accelerate innovation in the fight against COVID-19. The tiny devices are behind advances in areas of electronics ranging from thermal imaging and faster point-of-care testing to microfluidics-based polymerase chain reaction (PCR) tools and techniques to detect SARS-CoV-2.SEMI recently spoke with Yole Développement analysts Dimitrios Damianos and Chenmeijing Liang about MEMS and imaging sensors market trends and how microelectronics-enhanced technologies are supporting the worldwide push to contain the spread of COVID-19.For additional insights on the technologies, join the SEMI MEMS Imaging Sensors Summit, held for the first time at SEMICON Europa, 12-13 November 2020 in Munich, Germany. Registration is open.SEMI: Despite the global pandemic, the MEMS and sensors market is still growing and is one of the healthiest industries, not only in Europe, but globally. What is driving this growth?Damianos: MEMS have been continuously evolving from the first sensors that were measuring pressure and acceleration to rotation sensing and visible light management followed by light sensing beyond visible and the expansion to ultrasound and multi-spectral. Now we are heading towards an era where we want to sense every aspect of our environment, with more processing and eventually analytics bringing more quality to the data.COVID-19 has impacted various global markets in very different ways. While automotive, mobility and civil aviation have suffered, the impact on telecommunications and medical has been positive. The effects on the consumer, mobile and industrial markets have been moderate. Moreover, COVID-19 is changing the perception of the current global supply chain in manufacturing, potentially leading to more localized value chains and further regionalization in order to minimize similar risks posed by the pandemic and the first lockdown.SEMI: Who are the main MEMS players based on your research? Damianos: For MEMS players, the picture in 2019 was not the same as 10 years ago, when Texas Instruments (TI) and Hewlett-Packard (HP) were leading the scene, with Bosch and ST Microelectronics following, all at comparable revenue levels. Now, Broadcom and Bosch lead with almost $1.4 billion in revenue each, and the rest of the MEMS key stakeholders compete in the $400 million to $600 million league. Microphone players profited from the voice interface adoption trend, while players active in MEMS for mobility and smartphones suffered slightly due to weak end-system demand.SEMI: What scenarios can we expect for each market with regard to the impact of COVID-19 on MEMS for 2020? Damianos: For 2020, at Yole Développement we expect the consumer market to contract slightly by 2.6%, with the automotive market to dip by 27.5%, and defense and aerospace by 20.5%. For the defense market, no major effect is expected, as all major programs still run for the year. The market may experience some slight delays in deliveries due to supply chain and logistics problems. However, sensors integrated in commercial/civil aerospace applications will suffer due to the general paralysis of the air travel industry. On the positive side, telecommunications could increase by 4.7%, medical applications by 10.6%, and industrial by 11.5%.Due to the global pandemic, some types of MEMS have spiked in demand this year. For example, demand for thermopiles and microbolometers used in temperature guns and thermal cameras has increased because of the need for contactless monitoring of people’s temperatures. Moreover, microfluidics for DNA sequencing and real-time polymerase chain reaction (PCR) diagnostic tests for detecting COVID-19 are gaining market relevance, with the latter serving as a premier method of detecting a bacteria or virus on the molecular level with high degrees of accuracy. Furthermore, pressure and flowmeters in ventilators will grow because of huge demand by hospital intensive care units (ICUs).SEMI: What growth trends do you predict for the long haul?Damianos: In the longer term, we expect global MEMS volumes to almost double, from 24.4 billion units in 2019 to 50.8 billion units in 2025, with a 13% CAGR during the same period. The global MEMS market could reach $17.7 billion in revenue by 2025.We see a trend to more wearable devices integrating a lot of sensors but also a move to a more consumer-oriented healthcare. Moreover, everything related to voice interfaces and voice/virtual-personal assistants (VPAs) will continue to see strong growth, increasing demand for MEMS mics with better quality and high-fidelity voice capture. MEMS devices are shifting to higher accuracy, ultra-low power, embedded intelligence and possibly some bio-compatibility for medical applications.MEMS players will try to escape the commoditization cycle and deliver more value by increasing the value of the data, either grouping many sensors to create sensor hubs or by adding processing, algorithms and software. Industry players are employing strategies such as adding extra processing close to the sensor (e.g. Knowles) or ameliorating the use cases of their applications of their clients (e.g. Bosch or ST). AI on the edge seems very alluring for extra value acquisition, with many startups already working on it. Some examples include always-on-sensing (Aspinity in collaboration with Infineon, Syntiant), echolocation (IMERAI) and predictive maintenance using inertial sensors (Cartesiam). This will be the next pit stop for MEMS technology for sure. SEMI: The CMOS Image Sensor (CIS) is a cornerstone technology in the development of devices powered by machine sensing and artificial intelligence (AI) for applications such as advanced driver assistance system (ADAS). CIS powers many of the ongoing revolutions in new technical products and use cases. What is the status of the image sensors industry? Liang: Last year was exceptional with a combination of high demand and high prices due to capacity limitations. Q4 2019 went way above the forecast, and, in the end, the CIS industry reached $19.3 billion for the full year. This year, we think it will return to normal, and, despite the pandemic impact, we expect significant growth in the range of 7% to 12%. Last year’s 25% year-over-year (YOY) growth was the highest we’ve seen over the past decade. Mobile still dominates the marketplace for CIS with 69% market share. Two markets, computing (8%) and consumer (5%), are adjacent to the mobile market but progressively losing ground due to the smartphone disruption.Security, at 6% market share, will probably be the second largest CIS market in the future. Although this is an area of excellence for the emerging Chinese players, unfortunately, they could be hit by the current trade war. The automotive market did very well from 2018 to 2019 because of the numerous applications recently developed for ADAS, viewing, and in-cabin applications. Lastly, the industrial camera applications benefited from large investments in automation, especially in the semiconductor and automotive industries, but here again many uncertainties remain as these markets will reshuffle in the post COVID-19 world. SEMI: Which CIS markets are most susceptible to seasonality and the impact of COVID-19?Liang: According to our quarterly CIS monitor, automotive and security were both negatively impacted by the pandemic beyond what we expected in terms of seasonality. For computing, the situation improved just prior the lockdown. Q1 got a positive impact with high sales results for laptops and tablets, but no significant impact was seen for security equipment. For automotive, the demand for cameras was very high in Q1, which is seasonally normal, despite the decrease of car shipments that followed later. The automotive CIS market in 2020 should remain relatively flat compared to 2019 due to the higher attachment rates of cameras despite the lower number of cars produced. Consumer and industrial segments dropped in Q1, which is typical early in the year.The next five years might be a bit slow, and although we forecast growth for the next year, in the future the market share will be lower in mobile. In fact, mobile CIS growth will fall below the CIS growth average, but we will see an increase of market share for the security, automotive and industrial segments. The CIS market could reach $28 billion in 2025.At first, COVID-19 had a limited impact on the production side, as factories in China are usually closed for the New Year holiday, when the pandemic started. While supply is currently recovering, we still consider the limited impact on demand. Smartphone production for 2020 will be down 6%, but camera shipments for mobile should increase about 10% this year. Another positive trend for the mobile market is optical fingerprint implementation. Currently, high-end Android phones use this kind of technology. For 2023, we estimate optical fingerprint technology revenue to be over $1 billion.The roadmap for the automotive market is driven by camera proliferation. We’ll see 10 cameras per car and more for some high-end vehicles. Increasing demand for safety and convenience will mean more cameras per car in the future. With a strong attachment rate, the market average in automotive is around 2.0 cameras per car nowadays, and we expect the market average to reach 3.5 cameras per car in 2025. In security, Charge Coupled Device (CCD)-based cameras are nearly out of the market, as CMOS-based IP cameras are most important now.SEMI: What are current key technology trends?Liang: 3D semiconductor technology is the hot topic. CIS wafer staking technology is indeed at the center of the CIS technology race. Future applications could be AI analytics or recently developed applications on new types of CIS. So far, we have seen the introduction of variants of the CIS pixel. Global shutter (GS) and indirect Time of Flight (iToF) were recently introduced, and now direct time-of-flight (dTOF) pixels are being used in high volume. 3D semiconductor technology is a bonanza for the industry, as it allows to pack more value in a single chip. While the surface of silicon is still increasing, additional silicon is added through stacking.With COVID-19 still a problem, the endpoint for smartphones in 2020 remains uncertain. The short-term impact for CIS will be slower growth with respect to the 25% YoY of last year. The downturn in car production will be mitigated by an increased attachment rate for automotive cameras. The security market will also help maintain CIS growth.For more insights, see the following reports: Status of the MEMS Industry 2020 3D Imaging and Sensing 2020 CIS Market Monitor Q2 2020 Dimitrios Damianos is a technology and market analysts at Yole Développement covering MEMS, Sensors, Photonics and Imaging. Chenmeijing Liang is a technology and market analysts at Yole Développement covering Imaging. Serena Brischetto is senior manager of Marketing and Communications at SEMI Europe.

Innovations in the public sector are springboards for new products in digital health and personalized medicine. Since 2013, SEMI NBMC, funded by the Air Force Research Laboratory (AFRL), has been evaluating industry needs and soliciting proposals for new research into the foundations of device development and manufacturing of medically actionable devices.SEMI NBMC has run 17 separate programs with more than two dozen organizational participants developing materials, electronics, microfluidics, manufacturing processes and algorithms to create low-cost, wearable sensors. Most of these integrated sensing systems communicate wirelessly and incorporate high-performance silicon devices that are designed to move with the individual. Each of the projects was the result of a proposal received during NBMC’s annual proposal cycle. ​What’s Next in MedTech Device Development?We invite you to join the teams at SEMI, NBMC and AFRL to answer that question in a virtual series of sessions over the four weeks in August.For the past five years, NBMC has been conducting similar sessions for roadmapping the development of non-invasive human performance monitoring technology and manufacturing. The information feeds into the topics for upcoming RFPs, including the one we expect to release in September 2020. Previous Workshops (formerly entitled Blood Sweat and Tears) brought together industry and university innovators to explore current product research and provided excellent insights for the proposal evaluation teams. We believe the insights are also very useful to the business and technology planning direction for researchers and developers working on these products.Our focus is on early-adopting markets – medical professionals and their patients, Army and Air Force personnel and high-performance athletes.​ In this time of social-distancing and overall hesitancy to approach hospitals and medical offices, medical monitoring that provides medically-actionable intelligence is of even greater significance.But Doesn’t FitBitTM Have that Covered?Advancements are coming fast and furious – but medical professionals and insurance companies are struggling to distinguish innovations that provide actionable intelligence from those that provide generalized, non-actionable data.The workshop will focus on the medically relevant information that requires a great deal more accuracy, testing and certification before decisions are made. It is the innovations in this field that will lay the groundwork for new products in digital health and personalized medicine. Additionally, they are leading to advancements in aeromedical monitoring and diagnostics to support the U.S. Air Force’s mission to improve patient care during emergency air transport. The targeted future state is real-time monitoring of biochemical and physiological markers that can guide optimization of human performance and health. ​The SMART MedTech Virtual Workshop Series will link markets with manufacturing for medical relevancy – addressing both ends of the ecosystem. This forum will bring together the players across the growing range of industries that are entering or advancing human monitoring applications to:​ share competitive ideas that may be applied to product development​, assess roadblocks in bringing human monitoring products to market, and form partnerships that have become key in overcoming obstacles to successful manufacturing and product development. ​ Join the experts who are at the cutting edge of product design and manufacturing techniques. Indeed, the success of previous workshops was based on the unique membership of NBMC, where product and manufacturing-oriented engineers from industry, universities, and government labs form teams and pool resources (financial as well as technical) to accelerate human monitoring product development into manufacturing prototypes.Can’t Attend the Workshop?All sessions will be recorded and available for watching and re-watching on-demand. Join our interest list to receive regular updates on SEMI NBMC activities, including notification of the RFP expected to be available in October 2020.Find out more about the Smart MedTech Initiative and the NBMC Programs at our website.Rene Krantz is Director of R D Programs Business Development at SEMI. She is the primary manager of SEMI Smart MedTech Initiative and NBMC programs. Contact Rene at [email protected].

Companies around the world are increasingly turning to mergers and acquisitions, research and development, and corporate venture capital (CVC) investment to sustain growth. For many years, global semiconductor companies including Intel, Qualcomm and Samsung have been active CVC investors. However, the economic fallout from the COVID-19 pandemic has forced many venture capital (VC) and CVC investors to rethink their investment strategies as they look to an uncertain future. To help provide SEMI members with the latest market trend information, SEMI Taiwan held the webinar Challenges and Opportunities in Corporate Venturing during the Global Pandemic Crisis on April 28th. Featured speaker James Mawson, founder and editor in chief of Global Corporate Venturing, provided an analysis of the pandemic’s impact on deal flow, capital movement, sentiment and strategies among CVCs. CVC takes larger role in past decadeCorporations have been increasingly active direct and indirect venture investors over the past decade. From 2011-2019, more than US$1.3 trillion of venture capital was invested globally, with corporations accounting for more than half that total, according to data from Pitchbook/GCV Analytics.Semiconductor companies that have been active in corporate venturing include Intel, Samsung, Nvidia, ARM, AMD, SK Hynix, Broadcom and Qualcomm. Pure-play semiconductor and chip companies tend to make few investments in their start-up counterparts because sector saturation of powerful incumbents leaves little opportunity for growth, James said. “While it is hard to find entrepreneurs wanting to be engaged in pure play S C, once they do, they can be very valuable and often be able to bring disruptive forces to the whole ecosystem,” James said.S C corporate investors focus on chip applicationsSemiconductor companies looking beyond pure-play S C start-ups for investment opportunities often target applications or developers that require the additional data, processing power, and memory their chips provide. “There is lots of interest by the big chip companies such as Intel, Qualcomm, and Samsung in developing some of those chip applications, getting them used more and creating a whole ecosystem,” James said.For example, Intel Capital, based on its data-centric theme, has focused on areas like autonomous vehicles, data centers and artificial intelligence (AI) because of the sheer amount of data and processing power they require. In another notable trend, non-traditional S C players such as Apple and Alibaba are leveraging investments in start-ups to develop their own chips for competitive advantage, James said.March deal flow down 20% With COVID-19 slowing the global economy, James expects semiconductor and chip companies to scale back direct investments this year due to rising pressure on their balance sheets. Deal flow in March was down roughly 20% from February.James is hopeful corporates will focus on investing in innovation over the long term rather than target share buybacks to boost near-term earnings. James pointed out that investors can uncover opportunities by identifying future problems to be solved in areas such as quantum computing, biotech, energy, healthcare, communications and ICT. Still, in the near term, where there is a crisis, there is opportunity. While the pandemic hit some sectors hard, it benefits start-ups in industries including gaming, education and telemedicine. This time is different?James said corporates need to rethink the investment model they want to follow. One option is the approach taken by General Electric, which divested its investment team and sold all its portfolio companies last year. Another is to focus on the long term. For example, Intel Capital has been dedicated to investments in innovation for nearly 30 years and continues to invest during downturns.Compared with the internet bubble and global financial crisis, today there are more experienced and mature CVCs that better know how to negotiate a crisis. James also pointed out investors are interested in backing CVCs with sector investing experience. There are now more than 600 CVCs with a 10-year-plus track record.James expects a variety of funding models to emerge over the next decade as pressure on corporate balance sheets encourages corporate investors to consider models that allow third-party capital to effectively leverage their CVC units. Corporate investors are also open to other ways to efficiently deliver financial returns.For more information about the SEMI Taiwan Corporate Growth and Innovation Community, please contact Irene Lin at [email protected]. For GCV’s latest news and event, visit its website.Jo-Ann Su is senior director of the Corporate Growth and Innovation Community at SEMI Taiwan.

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.

Smart cities of the digital future will employ systems enabled by MEMS and sensors in wide-ranging ways. From wearable sensors that monitor personal health and wellness and environmental sensors that assess air quality to autonomous micro-transit systems that are efficient and environmentally sustainable, MEMS and sensors are critically important to living in smart societies.SEMI’s Nishita Rao spoke with Albert P. Pisano, Professor and Dean at UC San Diego Jacobs School of Engineering ahead of his October 24 closing keynote presentation, MEMS and Systems in the Digital Future, at MEMS Sensors Executive Congress, October 22-24, 2019, at Coronado Island Marriott Resort Spa in Coronado, Calif.Join us at MSEC to meet Albert Pisano and other industry influencers driving MEMS and sensors innovations. Registration is open.SEMI: What are some of the most important large-scale system needs of the digital future – and why is MEMS so important in meeting these needs?Pisano: My vision of the digital future is an optimistic one, in which technology is used to assist people in their pursuit of health and happiness. In that digital future, I expect disruption in several key industries that depend on large-scale systems enabled by MEMS – healthcare, retail, transportation and education.Driving these disruptive forces across all four industries is the demand for more relevant real-time information, collected via inconspicuous technologies. Small in size and weight and low in power consumption, what technology other than MEMS delivers these combined attributes?SEMI: How do you envision MEMS in smart cities? What applications and devices will change the human experience in cities?Pisano: Smart cities, by my definition, are cities in which the four basic industries – healthcare, retail, transportation, and education – are implemented in their disrupted form.Take healthcare, for example. The adoption of MEMS chemical sensors in a wearable format will revolutionize human health monitoring. These sensors will not only improve individual health but also mitigate the spread of disease.In transportation, the coming of semi- or fully autonomous vehicles (as well as the general upgrading of all mass-transit vehicles) will give commuters additional time to pursue their interests while en route. A coming revolution of data connectivity to all vehicles will spur the rise of work, study and entertainment options available to people in transit. MEMS in the communication channels as well as in the vehicles will play an essential role in streaming personal data to travelers.SEMI: Could you help us visualize a disruptive application in one of these industries, say healthcare? Pisano: Healthcare is a particularly compelling area because MEMS offers life-enhancing, even life-saving, functionality that will significantly improve the quality of life of some people. MEMS allows us to design consumable wearable sensors that allow individuals to unobtrusively and non-invasively obtain biochemical data, such as potassium, sodium and sugar levels in the body fluid, as well as metabolic indicators such as lactic acid. Further, MEMS-based devices can perform EKG and EEG functions as well as monitor blood pressure in deep body veins in non-medical settings. This higher level of medical-grade data (not just casual data such as an approximate number of steps taken) will allow departments of public health to identify the early onset of individual disease.SEMI: What new forms of wireless communications will affect MEMS-enabled systems in the digital future?Pisano: Most visions of a digital future include wireless communication, but as the spectrum becomes ever more crowded, and as the need for unregulated, negotiated spectrum access increases, we will experience greater pressure to consider other forms of communication, such as inductive, optical and sonic. MEMS sensors are the only technical alternative to these other forms of communication in that they provide acceptable SWAP (size, weight and power). This will spawn battery-powered solutions with significant operational time. A good example is wireless telemetry of human physiological data from the skin. Only MEMS technology can reduce sensor-consumed power to below one microwatt. At this low level, energy harvest from the skin itself is sufficient to power the sensor!SEMI: How is the UCSD campus a living laboratory for intelligent sensing devices and systems?Pisano: Progressive universities, such as the University of California San Diego, understand that they are microcosms of small cities. They have populations during the day of approximately 65,000 people, a myriad of vehicles and a concentrated group of people.Many functions on campus mirror that of a small city. Lecture halls are similar to movie theatres. Student stores and centers are similar to shopping malls. Student residence halls are similar to apartment houses. Many campuses have medical centers, with their own emergency health services and hospitals. As a microcosm of a small city, it is only natural to think of the university as a wonderful living laboratory that allows us to test out new technologies at scale.Clearly, autonomous transit and wearable sensors have potential for uptake in this community. And that’s just scratching the surface. Package delivery (dinner to a dorm room, perhaps?), parking-spot location assistance, and even location-independent data streaming for classroom lectures are just a few possible examples of applications that we can test in a university environment.SEMI: How can the MEMS and sensors industry help researchers and innovators realize the digital future?Pisano: As a MEMS practitioner for almost 30 years, I fully understand the need to focus at the device level to ensure that the MEMS design meets SWAP and other requirements. But I truly believe that MEMS designers must learn to think more about subsystem and system issues, since the future of MEMS will be won by those who cannot only design the device right, but who can design the right device. By taking a much more market- and system-oriented approach to MEMS design thinking, companies in this industry will realize greater success.Register now to connect with Albert Pisano at MSEC and visit his UCSD page for more information.Albert P. Pisano, Ph.D., began his service as Dean of the Jacobs School of Engineering in 2013. He holds the Walter J. Zable Chair in Engineering and serves on the faculty of the departments of mechanical and aerospace engineering and of electrical and computer engineering. Pisano is an elected member of the National Academy of Engineering for contributions to the design, fabrication, commercialization, and educational aspects of MEMS, and is a Fellow of the ASME.Prior to his appointment at UCSD, Pisano served on the UC Berkeley faculty for 30 years, where he held the FANUC Endowed Chair of Mechanical Systems. Pisano was the senior co-director of the Berkeley Sensor Actuator Center (an NSF Industry-University Cooperative Research Center), director of the Electronics Research Laboratory (UC Berkeley’s largest organized research unit), and faculty head of the Program Office for Operational Excellence, among other leadership positions. From 1997 to 1999, Pisano was a program manager for the MEMS Program at the Defense Advanced Research Projects Agency (DARPA). Pisano held several research positions prior to joining academia.Pisano is a co-inventor listed on more than 36 patents in MEMS and has co-authored more than 400 archival publications. Pisano also is a co-founder of 10 startup companies in the areas of transdermal drug delivery, transvascular drug delivery, sensorized catheters, MEMS manufacturing equipment, MEMS RF devices and MEMS motion sensors. Visit his faculty page to learn more about his research interests.MEMS Sensors Industry Group, a SEMI technology community representing the global MEMS and sensors supply chain, hosts the annual MEMS Sensors Executive Congress. To learn how MSIG enables professionals in the MEMS and sensors industry to innovate, address common challenges and accelerate business results, visit us today.Nishita Rao is marketing manager for technology communities at SEMI.

In the long unfolding arc of technology innovation, artificial intelligence (AI) looms immense. In its quest to mimic human behavior, the technology touches energy, agriculture, manufacturing, logistics, healthcare, construction, transportation and nearly every other imaginable industry – a defining role that promises to fast track the fourth Industrial Revolution. And if the industry oracles have it right, AI growth will be nothing shy of explosive.“The gains these days are not incremental,” said Ajit Manocha, SEMI president and CEO, said to a gathering in July of the Chinese American Semiconductor Professional Association (CASPA) for its Summer Symposium at SEMI’s headquarters in Milpitas. “They are hockey stick – exponential – with AI semiconductors growing in market size from $4 billion this year to $70 billion in 2025.”Manocha left little doubt that AI is remaking the semiconductor industry and, in the process, the world at large. Internet of Things (IoT) and 4G/5G, both key AI enablers, will account for more than 75 percent of device connections by 2025.“Today, 30 billion devices worldwide are connected,” Manocha said, citing an Applied Materials prediction that the number of connected devices globally will grow to between 500 billion and 1 trillion by 2030. Those devices will generate stunning amounts of data collected, interpreted and used to reason, solve problems, learn and plan, leading to the holy grail of autonomous machine behavior.To process this colossal amount of data central to the promise of AI, the industry must break through the limits of a key technology: memory. Memory a Critical AI BottleneckThe challenge for memory starts with performance. Historically, every decade gains in compute performance have outpaced improvements in memory speed by 100 times, and over the past 20 years that gap has grown, said Steven Woo, a fellow and distinguished inventor at Rambus, presenting at the symposium. The upshot is that memory has bottlenecked compute and, in turn, AI performance. The industry has responded with new ways to implement memory systems on AI chips. Each is suited to unique performance requirements and, of course, comes with trade-offs. Among the frontrunners: On-chip memory delivers the highest bandwidth and power efficiency but is limited in capacity. HBM (High Bandwidth Memory) offers both very high memory bandwidth and density. GDDR balances trade-offs among bandwidth, power efficiency, cost and reliability. Since 2012, AI training capability has grown 300,000 times, besting Moore’s law by 25,000 times in doubling every 3.5 months, a blistering pace compared to the 18-month doubling cycle of Moore’s law, Woo said. The staggering improvements have been driven by parallel computing capacity and new application-specific silicon like Google’s Tensor Processing Unit (TPU).These specialized silicon architectures and parallel engines are key to sustaining future gains in compute performance and combatting the slowing of Moore’s Law and the end of power scaling, Woo said. By rethinking the way processors are architected for certain markets, chipmakers can develop dedicated hardware capable of operating with 100 to 1,000 times greater energy efficiency than general purpose processors to overcome another big limiter to scaling compute performance – power.For its part, the memory industry can improve performance by signaling at higher data rates and using stacked architectures like HBM for greater power efficiency and performance, and by bringing compute closer to the data.Memory scaling for AIA key challenge is scaling memory for AI. Demand for better voice, gesture and facial recognition experiences and more immersive virtual reality and augmented reality interactions is tremendous, said Bill En, senior director at AMD, speaking at the symposium. These capabilities require more processing power across both high-performance computing (HPC) for big data analytics and machine learning as it relies on AI and machine intelligence to generate meaningful insights. Emerging machine learning applications include classification and security, medicine, advanced driver assistance, human-aided design, real-time analytics and industrial automation. And with 75 billion IoT-connected devices – all generating data – expected by 2025, there will be no shortage of data to analyze, En said. The wings alone of a new Airbus A380-1000 feature some 10,000 sensors.Mountains of this data are stored in massive data centers on magnetic hard drives, then transferred to DRAM before moving to SRAM within the CPU for the handoff to the compute hardware for analysis.With data growing at an exponential clip, the question is how to make sure all other memory systems can handle the flood of data. AMD’s answer is a chiplet architecture featuring eight smaller chips around the edge that drive the compute and a large chip in the center that doubles the IO interface and memory capability to in turn double chip bandwidth.AMD has also moved from a legacy GDDR5 memory chip configuration to HBM to bring memory bandwidth closer to the GPU for more efficient processing of AI applications. The HBM provides much higher bandwidth while reducing power consumption. Compared to DRAM, AMD’s HBM delivers a much faster data rate and far greater memory density, En said.Over the next decade, look for more performance improvements from multi-chip architectures, innovations in memory technology and integration, aggressive 3D stacking and streamlined system-level interconnects, he said. The industry will also continue to drive performance gains in devices, compute density and power through technology scaling.Michael Hall is a global marketing communications manager at SEMI.

The more than 53,000 people who flocked to SEMICON Korea last month were treated to a motherlode of insight into the future of the semiconductor industry as 470 companies exhibited innovative technologies in more than 2,000 booths. But the annual event’s most arresting numbers came in keynotes and other presentations pointing to the extraordinary industry growth that lies ahead.“It is no exaggeration to say that 90 percent of the world’s data has been generated in the last few years,” said Jim Feldhan, president of Semico Research. “This explosive growth of data is expected to continue. That's why server shipments will grow by 20.3 percent, or 30 million units, this year alone.”Feldhan said that the Internet of Things (IoT) will be a chief driver of semiconductor industry growth, with IoT expected to be applied in areas as varied as automotive, smart cities, edge computers, finance, architecture, agriculture and healthcare. For its part, artificial intelligence (AI) will start to exercise human-like judgment. Feldhan noted that in many instances in these fields, “it is more accurate to apply AI and vision systems than to rely on traditional decision-making.”Yoon Jong Lee, senior vice president of DB HiTek, predicted that the Internet, AI and 5G will drive market growth. “Looking back over the past 30 years, semiconductor market growth was powered by PCs, the Internet and cell phones, yet last year memory accounted for 35 percent of total semiconductor sales, more than double the figure in 2016,” he said. He predicted that, in 2019, the foundry sector will outstrip the semiconductor market in growth, noting that the average growth rate of the semiconductor industry is expected to be 4.1 percent, compared to 7.1 percent for the foundry market. Clark Tseng, director of SEMI, reported that the strong semiconductor growth in 2018 is unlikely to continue in 2019 due to the decline in memory pricing, as well as mobile and PC demand. “Demand for semiconductors is likely to decline in the first half as the industry is still digesting inventory and rebound in the second,” Tseng said. Semiconductor industry growth headwinds include decreases in high-end smartphone purchases, PC demand and demand for DRAMs for servers in data centers, Tseng said. Declines in economic growth and consumption in China and the U.S.-China trade war will also contribute to a slowdown. However, Tseng noted that, over the long term, technology innovation will continue and that the semiconductor industry’s prospects remain bright.One key innovation will be the elimination of AI’s reliance on Internet connections in the future. In his opening day keynote, Eunsoo Shim, senior vice president at Samsung Electronics, emphasized that AI technology that operates without the Internet in the future is essential. “We are developing 'on-device AI' technology that incorporates AI algorithms in products such as smartphones and autonomous vehicles,” he said. "When on-device AI technology is implemented, it reduces reliance on the Internet, battery consumption, and data latency.” Reducing latency will significantly improve device response time.Walden C. Rhines, CEO Emeritus of Mentor, a Siemens business, predicted that AI will fuel rapid memory growth. The memory semiconductor (DRAM, NAND flash) market is expected to see a temporary slowdown this year, with the market expected to rebound in 2020. Rhines said that memory could be seen as an early market with rapid future growth, citing memory market super-booms in 1995 and 2000.“Memory production has not decreased since 1995 or 2000,” he said. “Although memory prices will temporarily fall this year after significant market growth in 2017 to 2018, the market will continue to grow as memory production increases,” he said. Rhines added that “although memory prices will drop by about 10 percent this year, he believes prices will increase 6 percent next year.” He also predicted the steady growth of the non-memory semiconductor market as AI technology matures and China’s investment in fabless companies continues.Indeed, SEMICON Korea speakers made it clear that concerns about the growth of the semiconductor industry are expected to be short-lived. While overall growth is likely to slow in 2019, the industry is expected to rebound steadily – powered by the semiconductor industry paradigm shift led by AI, IOT, and autonomous driving – and reach a new high of nearly $541 billion in 2020.Jaegwan Shim is a marketing specialist at SEMI Korea.

SEMI and imec are joining forces to drive innovation and deepen industry alignment on technology roadmaps and international standards while adding technology depth to SEMI’s five vertical application platforms including Smart Transportation, Smart MedTech and Smart Data.Under a Memorandum of Understanding announced today at ISS 2019, the two organizations have set their sights on bringing together key industry players to advance cutting-edge technologies including Internet of Things (IoT), artificial intelligence (AI) and machine learning that enable new capabilities across healthcare, automotive and semiconductor manufacturing. The partnership also aims to speed the time to better business results for SEMI and imec members and partners. SEMI brings to the partnership access to the $2 trillion global electronics manufacturing supply chain and imec its global research and development (R D) and innovation leadership in nanoelectronics and digital technologies.Under the MOU, the two organizations will co-produce SEMI Think Tanks, extend SEMI’s International Standards platform to non-CMOS technologies, identify and fill gaps in technology roadmaps, and tighten imec’s engagement with SEMI in European workforce development efforts.Bettina Weiss is Chief of Staff at SEMI.