Printed Sensor Market Expands


The growing use of actionable information in new ways to make better decisions is driving brisk growth in printed electronics (PE) and sensors. According to BCC Research, the global market for sensors should grow from $173.4 billion in 2019 to reach $323.3 billion by 2024 – a compound annual growth rate (CAGR) of 13.3%. Where will this growth come from? Where are the immediate, and longer-... » read more

MEMS And Sensor Tech For The Next Decade


Most of today’s blockbuster MEMS products – from pressure sensors and resonators to accelerometers and microphones – originated from academic research, a trend that Alissa M. Fitzgerald, Founder & Managing Member, A.M. Fitzgerald & Associates, expects to continue. While many of these potentially game-changing new technologies will require many more years of intensive development a... » read more

Monitoring Heat On AI Chips


Stephen Crosher, CEO of Moortec, talks about monitoring temperature differences on-chip in AI chips and how to make the most of the power that can be delivered to a device and why accuracy is so critical. » read more

IoT For Building Energy Systems In Zero-Emission Buildings


By Dirk Mayer and Olaf Enge-Rosenblatt How can buildings contribute to a significant reduction in global primary energy consumption? Due to the global trend toward reducing CO2 emissions and resource conservation, the demands are increasing with regard to the efficiency of heating, ventilation and air-conditioning (HVAC) systems operated in buildings. In conflict with calls for fas... » read more

Week in Review – IoT, Security, Autos


Products/Services Synopsys had a lot of announcements this week! Summer is definitely over. The company released BSIMM10 study, the latest version of the Building Security in Maturity Model, helping organizations plan, execute, mature, and measure their software security initiatives. It also released LucidShape version 2019.09, the latest version of that tool for the design, simulation, and an... » read more

Power/Performance Bits: Sept. 17


Silicon thermoelectrics Researchers at the University of Texas at Dallas and Texas Instruments developed a new method for thermoelectric generation that could be used with electronics to convert waste heat into reusable energy. "In a general sense, waste heat is everywhere: the heat your car engine generates, for example," said Mark Lee, professor and head of the Department of Physics at UT... » read more

The Critical But Less Obvious Risks In AI


AI has been the subject of intense debate since it was first introduced back in the mid-1950s, but the real threat is a lot more mundane and potentially even more serious than the fear-inducing picture painted by its critics. Replacing jobs with technology has been a controversial subject for more than a century. AI is a relative newcomer in that debate. While the term "artificial intelligen... » read more

How Hardware Can Bias AI Data


Clean data is essential to good results in AI and machine learning, but data can become biased and less accurate at multiple stages in its lifetime—from moment it is generated all the way through to when it is processed—and it can happen in ways that are not always obvious and often difficult to discern. Blatant data corruption produces erroneous results that are relatively easy to ident... » read more

Week in Review – IoT, Security, Autos


Products/Services Rambus entered an exclusive agreement to acquire the Silicon IP, Secure Protocols, and Provisioning business from Verimatrix, formerly known as Inside Secure. Financial terms were not revealed. The transaction is expected to close this year. Rambus will use the Verimatrix offerings in such demanding applications as artificial intelligence, automotive, the Internet of Things, ... » read more

Machine Learning For Autonomous Drive


Advances in Artificial Intelligence (AI) and Machine Learning (ML) is arguably the biggest technical innovation of the last decade. Although the algorithms for AI have been in existence for many years, the recent explosion of both data as well as faster compute made it possible to apply those algorithms to solve many real life use cases. One of the most prominent of these use cases is fully aut... » read more

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