healthcare

We are living in a digital world where semiconductors are taken for granted, AI is bringing semiconductors back into the deserved spotlight, and now we are witnessing the dawn of the Cognitive Era enabled by semiconductors,” SEMI president and CEO Ajit Manocha said to an audience of more than 500 during his presentation – Rebirth of the Semiconductor Industry – at the First Global IC Entrepreneur Conference.Speaking at the Shanghai event in mid-December, Manocha recalled how, when he first entered the semiconductor industry in the 1980s, semiconductors revenue topped out at about $10 billion. Now, with sales having swelled to a staggering $450 billion, the industry is on a much faster growth track. Revenue could reach $500 billion by the end of 2020 and trillions of dollars by 2030. Over the past two decades, chips have given rise to social media and e-commerce powerhouses such as Google, Facebook, and Alibaba. All rely on heavily on chips, the engines of data centers across all industries. Wave after wave of technology innovation have been powered by semiconductors – from mainframe computers in the 1970s, personal computers in the 1980s, the Internet in the 1990s, and mobile and social networking in the early 20th century, to the current shining stars of technology such as IoT, big data, new memory, virtual reality, autonomous driving and artificial intelligence, Manocha said. New applications across areas such as smart manufacturing and digital healthcare are stoking the latest round of semiconductor growth.The rise of AI, like all the technologies before it, has renewed the semiconductor industry once again with its promise to drive growth of all industries worldwide, Manocha said. Five years ago, IoT was but a gleam in a technologist’s eye, more hype than reality with doubt about its viability running deep. Today, with about 60 percent of people in the world connected to the Internet, the enormous promise and potential of IoT is flowering. Industry growth will explode as the melding of AI and IoT birth countless applications and innovations in SMART transportation (0 emissions; 0 fatalities; 0 congestion), smart sensors (agriculture, infrastructure, healthcare) and SMART “Everything” (people, devices, homes, cities, industries, and the list goes on). Indeed, AI is now widely recognized as a chief growth driver of the semiconductor industry well into the future, with semiconductor technology at the core of AI innovation, he said. Semiconductors are thrusting the fifth industrial revolution into the fast lane. China’s much-anticipated rise as an industry powerhouse over the next few years will only accelerate industry growth, turning current disruptions into future opportunities as SEMI China continues to cultivate connection, collaboration and innovation in China’s fast-growing semiconductor sector.Cherry Sun is a marketing manager at SEMI China.

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

Artificial intelligence (AI) is on the verge of transforming entire industries as it gears up to power semiconductor industry innovation and growth, thrusting the technology to front and center at SEMICON Japan 2019, December 12-14 at the Tokyo Big Sight (Tokyo International Exhibition Center).The SMART Technology Forum at SEMICON Japan will highlight the latest AI developments and trends. Supported by U.S. Commercial Service in Japan, the forum will feature Yutaka Matsuo of the University of Tokyo. An authority on AI, Matuso will give an overview of both AI business and technology. His presentation will be followed by an AI outlook from Microsoft Japan, Amazon Web Services and DefinedCrowd.A number of Japanese startups are on leading edge of AI innovation in machine and deep learning. One is Preferred Networks Inc., a company that applies cutting-edge deep learning technology to Internet of Things (IoT) applications across transportation, manufacturing and healthcare.In his opening day keynote at SEMICON Japan, Toru Nishikawa, president and CEO of Preferred Networks, Inc., will highlight the latest developments and promise of using deep learning for industrial applications. Nishikawa will unpack how AI companies jockeying for competitive advantage will win by harnessing technologies to process massive amounts of data efficiently and quickly.Following is look at Preferred Networks, Inc. and five other Japanese startups that are driving AI innovation. Within Japan's world of AI, machine learning, and deep dearning, Preferred Networks is likely the most well-known Japanese company. The parent company, Preferred Infrastructure, was founded in March 2006 by Toru Nishikawa and Daisuke Okanohara, who focused on search engine development before turning to machine learning and establishing Preferred Networks to commercialize the technology.Preferred Networks established itself as one of the world’s top providers of machine learning technology with the development of Chainer – an open source deep learning framework that has been offered free of charge since June 2015 and was released before TensorFlow, Google’s renowned Deep Learning framework. Established in 2012, ABEJA is thought to be Japan’s first venture company to specialize in deep learning. ABEJA's core technology is its AI platform ABEJA Platform. Based on this platform, the company offers various solutions to more than 100 client companies. ABEJA also offers ABEJA Insight, a specialized package service for the retail and distribution, manufacturing, and infrastructure industries. Data analytics provider BrainPad Inc. was the first Japanese AI venture listed on the Tokyo Stock Exchange. Established in 2004, before the advent of big data, BrainPad Inc. cultivated a vision of analyzing vast amounts of data in increase the competitiveness of Japanese companies. LeapMind Inc. aims to offer deep learning technology that uses fewer computing resources and draws less power. Both are important capabilities since deep learning requires considerable computing resources to perform image and speech recognition. The company’s answer to this deep learning challenge is a small form factor FPGA with low power consumption.In April 2018, LeapMind started offering the tool DeLTA-Lite to support model construction for Deep Learning. The tool simplifies the development of deep learning design models, eliminating the need for model design, hardware, and software expertise. Hacarus Inc.’s HACARUS-X AI technology, which combines sparse modeling and machine learning technology, features low power consumption and small devices such as FPGAs. In collaboration with semiconductor trading company PALTEK, Hacarus is integrating HACARUS-X algorithms with Xilinx's FPGA Zynq UltraScale + MPSoC. Both companies area also implementing HACARUS-X algorithms in a box computer.Sparse modeling is gaining attention as a modeling method by which humans can understand the judgment process of AI by extracting features from a small amount of learning data. With expertise in life science fields such as medical and biology and image processing technology, LPixel, Inc. develops image analysis systems with original algorithms and machine learning techniques. It has developed a cloud-based AI image analysis platform and an AI medical image diagnosis support technology that streamlines the review of large amounts of research data and detects image fraud in research papers and other documents for the medical and biology fields, freeing researchers to devote more time to their core work. Yoichiro Ando is a marketing director at SEMI Japan.

Do you email your doctor when you have a tickle in your throat? Wear a fitness tracker or use an app to monitor your sugar levels, exercise or nutrition? If so, congratulations! You are a part of the rapid growth of digital medicine.Since you’re on the leading edge of this trend to enhance the efficiency of healthcare delivery, you might enjoy learning more about how the medical industry is transforming healthcare in this collection of podcast episodes and video. These are my top picks and just the tip of the proverbial iceberg in how modern medicine is taking today’s technology and applying it to best practices for remote patient monitoring, medical diagnosis, rural healthcare and more.Enjoy! And let me know if you find any others worth the listen!1. Inside Angle: 3M Health Information Systems - Telemedicine: Enhancing Access to Improve OutcomesAccess to healthcare can be a matter of life or death. For some patients, this may mean taking a day off work and driving for hours because services are not available in their hometown.Inside Angle host Dr. Gordon Moore interviews Barb Johnston, co-founder and CEO of HealthLinkNow, about the implementation of telemedicine programs. They discuss how technology impacts telemedicine adoption and related regulations and benefits clinicians and patients in the telepsychiatry and mental health industry. 2. NPR’s The Salt: What’s On Your Plate – This Chef Lost 50 Pounds and Reversed Prediabetes With A Digital ProgramThis short audio clip and article dives into lifestyle and wellness apps designed to motivate users to eat healthier, exercise more and – in some cases – save them from a preventable disease, like diabetes.Wellness apps like Omada Health rely on smartphones, e-coaching, electronic nudging and other methods to encourage users to make and, more importantly, stick to changes that can improve their health. And it’s catching on as other organizations, such as The Centers for Disease Control and Prevention, recognize the difference lifestyle-change programs designed to prevent diabetes are making. 3. Red Hot Healthcare: Episode 57 - Bluer Skies for TelemedicineLast year alone, venture capitalists poured $7 billion into telemedicine. As an emerging concept, telemedicine has a long road ahead until it’s fully integrated and adopted into modern medical practices. Nathaniel Lacktman, partner and health care lawyer with Foley Lardner LLP, discusses legal issues and hurdles surrounding telemedicine today with Red Hot Healthcare host Dr. Steve Ambrose.Lacktman pointed to healthcare providers such as Mercy Virtual Care Center, Mayo Clinic and MDLive that are likely to lead the telemedicine race. This podcast episode is a great listen for entrepreneurs and medical professionals who are interested in learning about compliance and business considerations for the implementation of telemedicine. 4. Digital Health Today: Episode 56 – Eren Bali on Building the World’s Largest Connected Care NetworkEren Bali, CEO and co-founder of Carbon Health, is out to change our fragmented traditional healthcare system with his aim to build the world’s largest connected care network.For Bali, it all started with his sister’s experience consolidating his mother’s health records – scattered over 20 different systems. And from that challenge, his idea to create a universal network that aggregates patient medical records was born.Bali and Digital Health Today host Dan Kendall discuss Bali’s launch of Carbon Health, the new medical records system’s first implementation in a San Francisco primary care clinic, and how providers and patients can get on board with this model. 5. Digital Health Today: Episode 58 – Brennan Spiegel Gets Real About Virtual RealityThis episode of Digital Health Today centers on how Virtual Reality (VR) is being used to enhance patient care. Host Dan Kendall speaks with Dr. Brennan Spiegel, Director of Health Services Research at Cedars-Sinai Health System and Professor of Medicine and Public Health at UCLA, about how immersive technology like VR and Augmented Reality (AR) can improve patients’ experience as well as alleviate pain, anxiety, depression, addiction and more. In a particularly interesting segment, Dr. Spiegel calls the hospital a biopsychosocial jail cell and underscores its importance in not just treating physical ailments but, more wholistically, also addressing the psychological and social wellbeing of patients. 6. TED2017: Raj Panjabi – No one should die because they live too far from a doctor What do you do when access to a doctor means rowing a boat for hours? Millions of people around the world lack access to health care because they live in a remote town or village.In this TED talk, Raj Panjabi, physician in the Division of Global Health Equity at Harvard Medical School, Brigham and Women’s Hospital, and co-founder of Last Mile Health, offers a solution to the problem of healthcare access in the form of the Community Health Academy, a global platform to train and connect community health workers by leveraging devices like smartphones to bring preventative healthcare to even the most far-flung regions of the world. 7. GeekWire’s Health Tech Podcast: How AI is making humans the ‘fundamental thing in the internet of things’Can AI predict which patients are at risk for chronic diseases using their old medical records? This episode of Health Tech Podcast dives deep into the future of healthcare with a look at the potential for AI -- “augmented intelligence” or “assistive intelligence” – to improve patient outcomes, the focus of Ankur Teredesai, a data scientist at the University of Washington and co-founder and CTO of health AI startup KenSci.Clare McGrane, host of GeekWire’s Health Tech Podcast, speaks with numerous experts in this field. They compare precision health to a modern car constantly monitored by microprocessors. The minute something is wrong, you get a warning to take the car to a shop to resolve the issue. The same concept can be applied to humans and deliver big healthcare impacts as research in AI and machine learning continues to evolve. 8. NPR’s Shots: Can Home Health Visits Help Keep People Out Of The ER?In Washington D.C., the city with the highest per capita 911 call volume in all of the U.S., Mary’s Center is piloting a program to provide primary care telemedicine to patients who cannot, or in some cases, do not want to visit the clinic. NPR covers the story of Medicaid patient Dennis Lebron Dolman, who is currently receiving a mix of home visits and virtual treatment.Besides providing healthcare access to rural regions, telemedicine has the potential to reduce emergency room visits in cities as well as improve the health of patients in the long run. Learn more at SEMICON West’s Smart MedTech TechXPOT on Digital Medicine and Remote Patient Monitoring. Hosted by NBMC on July 12, 2018, from 10:30 AM to 12:30 PM, the event will feature healthcare industry leaders exploring state-of-the-art healthcare practices and the future of medical technology. Registration is now open!Amy Ly is a Technical Programs Marketing Coordinator at SEMI.