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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.
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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.
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The semiconductor industry is in the final throes of its most recent cyclical downturn, but clear demand drivers on the horizon, such as 5G and autonomous driving, have created a decidedly upbeat mood at SEMI’s Strategic Materials Conference, held this week in San Jose, California. Increased connectivity in daily lives will not only dramatically boost semiconductor volumes, but the physical challenges of improving chip performance have positioned materials as the key enabling technology of the fourth industrial revolution – creating opportunities for suppliers to capture significant value. Most speakers were quick to underscore the importance of materials innovation. According to Dave Anderson, president of SEMI Americas, “We are entering the era of the material scientist,” and the role of materials in semiconductor manufacturing “has never been more important.” Carlos Diaz, senior director, corporate research at foundry major TSMC, said that the future “belongs to new materials and processes,” while Bertrand Loy, president and CEO, Entegris, told attendees the world is on the brink of the fourth industrial revolution, where technology will be fusing “physical, digital, and biological worlds and transforming our collective lives.” Len Jelinek, senior director/semiconductor manufacturing, IHS Markit, noted that 2019 has been a challenging year for semiconductor revenue – expectations are for a 12.5% decline YOY – but said he is not forecasting “doom and gloom” because of positive consumer demand trends beyond 2019. These include the rollout of 5G networks, internet of things (IoT), artificial intelligence (AI), and autonomous vehicles. Jelinek emphasized the foundational impact of 5G in particular. “Don’t think of 5G’s impact only in terms of handsets. It’s an enabling technology that will have broad-based impact” and will be key to creating a sustainable recovery in semiconductor demand in the second half of 2020. The current semiconductor downturn – the industry’s 10th – was initiated by an imbalance in memory supply and demand, and the lack of resolution of trade issues between China and the US is threatening to amplify volatility. Smartphones, the number-one application for semiconductors, are currently challenged by extended replacement cycles, and total handset shipments are set for its second year of decline. “We, as consumers, are waiting for revolutionary features such as 5G speeds, biometrics, foldable handsets and AI capabilities,” Jelinek says. Recent iterations have been merely evolutionary, and premium handset costs have escalated, he adds. Automotive electronics, which account for about 10% of global semiconductor demand, will eke out slight growth in 2019, Jelinek says. “Long-term semi component revenue growth within the Auto segment will focus on increasing content within cars supporting advanced safety features.” During his session, Duncan Meldrum, chief economist and founder of Hilltop Economics, addressed recent threats of a recession. “Underlying economic fundamentals are strong, but we are at that point in the business cycle where it doesn’t take much to knock the economy into recession,” he says. “I am telling people to have a contingency plan in place.” Nevertheless, Meldrum laid out reasons for optimism. Most economies have plenty of jobs, and consumers have been confident despite negative headlines. “For the average person, a tariff trade war gets to be noise. If they don’t see immediate impact, they tend to eventually discount all the headline noise. The same goes for Washington politics or Brexit.” There are no serious signs of inflation pressures in the US or other major economies, he adds. Beyond the cycleLonger-term, explosive growth in connected devices will create a runway for semiconductor volume growth. According to SEMI, over 30 billion devices are currently connected and another 200 million are added daily. By 2020, the number of connected devices will reach 1 trillion. “The growth profile for industry will be very strong and a multiplicity of drivers will bring more stability to this industry,” Loy adds. “But before this future becomes a reality we have a lot of work to do.” Current chips need to be faster and cheaper. “Physical scaling is not going to get us there, we’ve hit those limits,” Loy adds. “We have to look at new architectures and materials.” Loy called on the materials sector to need to “up our game” and spend more on R D. “Customers want us to make our products in very tight process window and ship to control. They want extreme purity for everything. It’s a long list of to-dos and it’s going to cost us a lot,” he adds. Among the needed innovations are photoresist hard masks to hand high aspect ratio, new etch chemistries for better rates and higher selectivity, and new cleaning chemistries for high aspect ratio geometry with high selectivity.Loy also identified contamination control as a key challenge for material suppliers. “When you think about purity and contaminants, you need to think about size, concentration levels, and classes. To optimize yields and lower wafer defectivity, our customers expect materials to be very pure and exhibit low variability.” The payoff for customers is large; a 1% yield improvement can mean $150 million in annual net profit for a leading-edge logic fab, Loy says. For a 3D NAND fab, that figure can be around $110 million per year. But these requirements are getting exponentially tighter. From 28 to 7 nm, the metal impurity concentration limit became 1,000 times lower, Loy notes. Contamination control is even more vital when the potential impacts of latent defects – which are difficult to detect in a fab and during electrical testing – are considered, particularly in emerging applications like autonomous driving, Loy says. “The cost of yield loss is expensive, but failure in a critical optical sensor of a car could be significantly greater, in terms of recalls or even human loss of life.” To meet tightening purity requirements, Loy recommends throwing out traditional thinking about contamination control. “In the past, we could get away with simple filtrations,” he says. “That’s no longer going to work. We need to collectively, up and down the supply chain, migrate to better filtration and purification and also rethink chemical delivery systems and packaging solutions to preserve the integrity of our products.”Metrology will also be key, but analytical capability is lagging. “We all like to believe that we cannot control what we cannot see, but that is exactly what we have to do.” The need for innovation is also being felt at the wafer level. Kevin Light, director, Applications Technology Americas at Siltronic Corp., said that as semiconductor markets become more diversified, silicon suppliers must recognize the distinct challenges each segment faces. Better wafer properties are required for next-generation chips, he adds. “Excessive wafer geometry can cause errors during lithography, especially when printing even smaller linewidths,” he says. The end result can be defocus and placement errors. When dealing with “More than Moore” architectures, wafer requirements are driven by other factors than defects. “More than Moore applications do not benefit from scaling, but instead drive capabilities of separate silicon parameters,” Light says. “In some cases you need high doping, in others the doping needs to be precise.” Czochralski crystal growth is suitable for high dopant levels, but the concentrations vary at the top and bottom of the ingot. Float Zone crystals avoid oxygen incorporation and provide consistent doping. These variations make Czochralski process suitable for PowerMOS, and Float Zone appropriate for IGBT. Compound semiconductor layers, such as GaN-on-Si, offer potential advantages owing to higher switching speeds and critical breakdown fields, he adds. “Silicon wafer requirements are diversifying as the devices themselves find increasing use outside of traditional logic,” Light adds. “Moore’s law is alive and next-gen computing will continue to push the limits of flatness and cleanliness. Meanwhile, demands of energy efficiency, electrification, IoT, and 5G drive wafer requirements other than scaling, including extremely high doped or ultra-low oxygen growing techniques, high lifetimes, and substrates engineered for compounds semiconductors.” Driverless futureAutonomous driving was a frequent discussion topic at SMC. Although IHS Markit does not see it really rolling out until past 2025, the disruption to the auto industry’s status quo is very much being felt now. Dragos Maciuca, executive technical director, Palo Alto Research and Innovation Center at Ford Motor Company, says cars of the future will be autonomous, connected, electrified, and shared. “The biggest transformation will be the shift from mechanical hardware to software,” he says. “Currently [a car] is a mechanical thing that has some electronics. Going forward, it will be a software-driven system that happens to control some mechanical elements.” The transition is already way under way, so much so that autonomous technology developed for the automotive industry is already being spun off into other sectors, such as mining and agriculture, and the auto industry’s competitive landscape is already seeing changes. OEMs and carmakers are entering the market from the traditional auto industry side, while companies such as Google are participating from the software side. “Others, like Uber and Lyft, are coming in from the business plan point of view to eliminate drivers and improve margins,” Maciuca adds. Autonomous driving will require numerous innovations, many of which will require new electronic materials and production processes. “We need weight savings, space savings, and advanced architecture,” Maciuca says. “We also need customization to print circuits as the vehicle comes down the line.” The tech community is proving up to the task. For LIDAR, there were just two technologies available a few years ago, he adds. The impact on chipmakers is also already being felt. “The automotive industry used to buy older chips,” Maciuca says. “Now we are moving to a stage where we need the very first chips at the most advanced node. And we are using them for safety-critical operations. If an AI chip that is supposed to detect a human fails, the consequences can be very severe.”Rebecca Coons is a senior editor at Chemical Week. Republished with permission from Chemical Week.The SEMI Electronic Materials Group (SEMI EMG) is the backbone of the Strategic Materials Conference. EMG is a technology community representing SEMI member companies that provide substrates, polymers, metals, organic and inorganic materials, chemicals, and gases that are developed or in use for the manufacturing of electronics. The group is open to SEMI Members involved in materials manufacture, distribution, and services throughout the microelectronics industry. For more details, please visit the website.
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Automotive original equipment manufacturers (OEMs) and their direct suppliers of parts and systems share a vision: Next-generation vehicles will be more electric, autonomous and connected. At a market size of more than $1 trillion, automotive is steadily becoming a high-tech market as cars morph into advanced technology platforms with partially or fully autonomous features. Call them semiconductors on wheels. Big players such as Google and many carmakers are investing heavily in chip advances to help drive increases in silicon content in automobiles.At SEMICON Europa, Pierrick Boulay, Solid State Lighting and Lighting Systems analyst at Yole Développement, will provide a market update on autonomous automobile trends including the state of sensors, radars, cameras and LiDARs as the industry works to increase the level of autonomy and electrification.Autonomous vehicle design can only thrive with the development of an industry standard for chip and device traceability across the supply chain. The importance of chip traceability to the automotive industry is reflected in its central role in driving a chip traceability standard.According to Heidi Hoffman, senior director of technology communities marketing at SEMI, “chip traceability is one of the next big things for the technology industry. The benefits are enormous, and the upsides – including yield enhancements, counterfeiting safeguards, and support for new applications – are plentiful. But the implementation challenges of chip traceability are also big and will require considerable effort to overcome. The biggest hurdle of all? We need to transcend industry fears by demonstrating that we can secure IP when it is shared across the hardware supply chain.” The Importance of Standards, Data Collection and Collaboration Across the Supply ChainThe automotive industry has long embraced tracing the sources of defects. Now, as the automotive and semiconductor supply chains increasingly overlap, traceability has taken on greater importance in the semiconductor industry. SEMI committees, task forces and events such as the Smart Transportation Forum at SEMICON Europa are ideal platforms for collaborating to develop new standards and best practices for the automotive industry.Earlier this year, German luxury automobile maker Audi AG became the first automotive original equipment manufacturer (OEM) to join SEMI as member, strengthening alignment across automotive supply-chain segments. At SEMICON Europa, the SMART Transportation Forum and Pavilion, staged by the SEMI Global Automotive Advisory Council (GAAC) and bolstered by the Electronic System Design Alliance, a SEMI Strategic Association Partner, will gather key stakeholders across the automotive value chain, from design and semiconductor equipment to materials and carmakers, to explore innovation opportunities in automotive electronics. SEMI Global Automotive Advisory Council (GAAC) “If the industry wants to reach the goal of zero defects, a new collaborative approach is necessary,” observed Antoine Amade, senior regional director EMEA at Entegris. At SEMICON Europa, Amade will present new ways to collaborate in reducing chip defectivity and meet other challenges in the automotive industry.More than half of semiconductor failures on the automotive assembly line today (so-called 0km failures) are traced to semiconductor fab defectivity. “The increasing semiconductor content in automobiles – driven by growth in ADAS, electrification and autonomy – has put a growing focus on the quality and reliability of these devices and their implications for consumer safety and satisfaction,” said Oreste Donzella, senior vice president and CMO at KLA.The smart manufacturing (Industry 4.0) revolution is already spurring higher performance and great efficiencies throughout the supply chain and will also be crucial to driving innovation in automotive. Smart manufacturing makes possible significant improvements in factory key performance indicators (KPI) for cycle time, on-time delivery, overall equipment effectiveness, cost and product quality.“These KPI gains are key to meeting quality levels the automotive industry must reach to support the deployment of autonomous driving vehicles,” said John R. Behnke, general manager of Final Phase Systems at INFICON. In his talk at SEMICON Europa, Behnke will provide an overview of existing, in-progress, and future smart manufacturing solutions for the semiconductor industry and their impact on the automotive supply chain. The SMART Transportation Forum, 13 November, 2019 (9:30-15:30 at ICM Munich, room 14c) at SEMICON Europa is the premier platform for key stakeholders to connect, collaborate and innovate across the automotive value chain. Automotive and semiconductor industry experts will offer insights into trends in design, semiconductor equipment and materials, and automotive innovation and the roadmap to 2030. The SMART Transportation Forum will also showcase innovations in imaging, sensing, artificial intelligence (AI), smart manufacturing and L5 mobility.Other SEMICON Europa highlights: Advanced Packaging Conference: Packaging and Test Challenges Towards High Reliability (12-13 November 2019) 23rd Fab Management Forum: Game Changers for Semiconductor Operations(11-12 November 2019) Strategic Materials Conference: Strategic Materials Enabling Industry Roadmaps(12-13 November 2019) SEMICON Europa registration is open for visitors and exhibitors. For more details, please visit the SEMICON Europa website and connect with SEMI Europe on Twitter or LinkedIn @SEMIEurope (use #SEMICONEuropa).Learn more about the SEMI chip traceability standard – SEMI T23 - Specification for Single Device Traceability for the Supply Chain – and SEMI Technology Communities.Serena Brischetto is a marketing and communications manager at SEMI Europe.
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AI vs. energy. Quantum for everyone. Biofabrication of human organs on a mass scale. Slowing advancements from Moore’s law.In the midst of a market dip, optimism reigned as keynote and AI Design Forum speakers addressed both looming challenges and explosive market opportunities during July 9-10 presentations at SEMICON West 2019 in San Francisco. SEMICON West again proved to be a magnet for visionaries who laid out the path to electronics innovation over the coming years.“The current business environment demands that the industry looks ahead toward issues that need attention sooner, not later – especially since we are approaching a once-in-a-generation inflection point that has the potential to be a $10 trillion opportunity,” observed SEMI Americas president Dave Anderson.Market forecasts punctuate the point: The microelectronics supply chain is on the verge of what has the potential to be the longest-lived electronics era.“Inflection points like this are rare, but not unprecedented,” Anderson added, citing 2007 as the inflection of the growth curve from new technologies that led to last year’s historic high semiconductor sales.SEMICON West squarely focused on the future, with a number of industry leaders noting that chip, tool and materials makers need to look beyond their immediate suppliers and customers in developing strategic partnerships. Dr. Cliff Young, data scientist with the Google Brain Team, for one, invited semiconductor and equipment firms to explore chip codesigning opportunities with his Google.The recently formed Quantum Economic Development Consortium – and its 50 members including Boeing, Google and IBM – debuted roadmapping activities devoted to the pursuit of U.S. leadership in the rapidly emerging global quantum computing industry. IBM’s Jeff Welser showcased the IBM Q Computer model built upon decades of semiconductor industry advances. Markets that could see staggering leaps from a quantum computational capacity include automotive, medical, financial and energy. Today, anyone can dabble with the future quantum computing capabilities by connecting online with IBM’s 16-qubit quantum computer. Dr. Aart de Geus, chairman and co-CEO of Synopsys, suggested that software and other programming tends to develop more quickly if it is open sourced. He recommends an open source model that allows semiconductor and equipment companies to work together in the cloud to speed chip development.Nate Baxter, TEL development and production group general manager, advocated sharing big data with competitors in pre-competitive spaces to ensure data quality, improve measurement and solve problems faster. The key is security. “Yes, we can share data while protecting it,” he said. “We’re quickly seeing opportunities that we didn’t know existed.”Gary Dickerson, Applied Materials president and CEO, said that embedding artificial intelligence (AI) in chips will drive significant long-term industry growth by processing far more big data computations much faster than humans can.That is, if there is enough electricity. Almost invisibly, AI-enabled machines already are crunching massive amounts of data while gulping power in the process. As AI use rapidly expands, current power grids will be stressed as never before. Dickerson added that speed of innovation, societal acceptance, security and safety will guide how well and quickly AI is adopted. A potential hurdle, however, is sustainability. He warned power constraints could be “very high” and a “barrier to AI adoption if we don’t drive innovation” in substantially reducing the power draw of power-hungry AI chips.Of the five members of a venture capitalist panel, four agreed that Moore’s Law as we knew it is dead. The promising news is that the average age of a first-time mobile phone user is 10, more than 40 percent of the world population is now under 25 and about to wield considerable market influence, and 5G is on the cusp of helping connect trillions of devices. AMD CEO Lisa Su noted “there’s a tremendous amount of innovation yet to come” from microarchitectural advances, chiplets and die stacking, and heterogenous platforms.And there’s nothing more innovative – or intriguing – than regenerating human organs in mass volume. Legendary inventor Dean Kamen laid out his well-funded plans to biofabricate the viscera of human existence but warned of two crucial missing pieces – scale and talent. “I’m here at SEMICON West to beg for high-tech’s help in getting artificial human organs out of labs and ramped up for volume manufacturing and widespread distribution,” Kamen said during his keynote. “The basic science already exists, but researchers can’t bring it to scale like Silicon Valley can.”The talent Kamen needs to fulfill his dream will come from the pool of skilled workers the microelectronics industry is feverishly working to recruit to make good on its own ambitions. As if on cue, SEMI endorsed Kamen’s FIRST Global program, establishing a united effort to encourage young people worldwide to pursue engineering careers. “Together, we can better help provide a path to success for generations to come,” SEMI’s Anderson said.Scott Stevens, SEMI
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