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

Week in Review: IoT, Security, Autos


Products/Services Huawei Technologies is again delaying the public introduction of its Mate X foldable smartphone. It is unlikely the product will be marketed in the U.S., given the ongoing trade war. The official rollout now seems likely to come in November, in time for the holiday shopping season. Samsung Electronics has had its problems with foldable phones, yet those were due to manufactur... » read more

Week in Review: IoT, Security, Autos


Products/Services Arm released a survey of 650 industry representatives about eSIM and iSIM technology. Ninety percent of the respondents were aware of eSIM, while 43% were unaware of iSIM. Vincent Korstanje, vice president and general manager, Emerging Businesses at Arm, cites the leading three obstacles to large commercial deployments: Resistance from traditional stakeholders (69% of respond... » read more

Using Better Data To Shorten Test Time


The combination of machine learning plus more sensors embedded into IC manufacturing equipment is creating new possibilities for more targeted testing and faster throughput for fabs and OSATs. The goal is to improve quality and reduce the cost of manufacturing complex chips, where time spent in manufacturing is ballooning at the most advanced nodes. As the number of transistors on a die incr... » read more

System Bits: Aug. 5


Algorithm could advance quantum computing Scientists at the Los Alamos National Laboratory report the development of a quantum computing algorithm that promises to provide a better understanding of the quantum-to-classical transition, enabling model systems for biological proteins and other advanced applications. “The quantum-to-classical transition occurs when you add more and more parti... » read more

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