IC Architectures Shift As OEMs Narrow Their Focus


Diminishing returns from process scaling, coupled with pervasive connectedness and an exponential increase in data, are driving broad changes in how chips are designed, what they're expected to do, and how quickly they're supposed to do it. In the past, tradeoffs between performance, power, and cost were defined mostly by large OEMs within the confines of an industry-wide scaling roadmap. Ch... » read more

Week In Review: Design, Low Power


Tools and IP Renesas introduced a new microprocessor that enables artificial intelligence to process image data from multiple cameras. "One of the challenges for embedded systems developers who want to implement machine learning is to keep up with the latest AI models that are constantly evolving,” said Shigeki Kato, Vice President of Renesas' Enterprise Infrastructure Business Division. �... » read more

Week In Review: Manufacturing, Test


On Sunday, a 6.8-magnitude earthquake struck the southeast region of Taiwan, causing devastation. TSMC officials reported “no known significant impact for now.” Market research firm TrendForce arrived at a similar conclusion based on its analysis of individual fabs. The Biden administration announced appointment of the leadership team charged with implementing the US CHIPS and Science Ac... » read more

Week In Review: Auto, Security, Pervasive Computing


Automotive, mobility Siemens Digital Industries Software and climate-tech company sustamize devised a way to add carbon emissions data to Siemens Xcelerator. Siemens created its Teamcenter Carbon Footprint Calculator software to help teams measure, simulate, reduce, and track their product carbon footprint early in the development phase. The calculator uses sustamize’s Product Footprint Engi... » read more

10 Questions: Handel Jones


Handel Jones, CEO of International Business Strategies and author of a new book, "When AI Rules The World," sat down with Semiconductor Engineering to talk about the growth and impact of AI. What follows are excerpts of that conversation. SE: What do you see as the impact of AI on semiconductors? Jones: The fact that you have a 5G smart phone is because of AI. Steve Jobs changed the smart... » read more

Challenges Mount In New Autos


Electronics are becoming the primary differentiator for carmakers, adding an array of options that can alter everything from how a vehicle's occupants interact with their surroundings to how the vehicle drives. But the infrastructure needed to support these features also raises a slew of technology and business questions for which there are no simple answers today. For example, how will new ... » read more

Week In Review: Design, Low Power


Trade regulations/legal The U.S. government placed new restrictions on sales of GPUs to China that could be used for high-performance computing, artificial intelligence, and other advanced applications. NVIDIA said in an SEC filing Wednesday that officials told the company it must seek an export license for sales to China or Russia of its A100 and H100 chips, and any system that includes those... » read more

Week In Review: Design, Low Power


Quantum computing Baidu introduced a 10-qubit quantum computer called Qianshi and what it described as “the world's first all-platform quantum hardware-software integration solution that provides access to various quantum chips via mobile app, PC, and cloud.” The company said it has also completed the design of a 36-qubit quantum chip. Scientists said “levitating” nanoparticles co... » read more

Week In Review: Auto, Security, Pervasive Computing


Automotive, mobility California will ban the sale of new gasoline vehicles so that by 2035 100% of new cars and light trucks sold in California will be zero-emission vehicles. NXP Semiconductors announced multi-year supply agreements for its S32 family. Agreements to supply the S32 domain and zonal automotive processors to OEMs will include upcoming 5nm ASIL-D processors. Keysight Techno... » read more

AI Power Consumption Exploding


Machine learning is on track to consume all the energy being supplied, a model that is costly, inefficient, and unsustainable. To a large extent, this is because the field is new, exciting, and rapidly growing. It is being designed to break new ground in terms of accuracy or capability. Today, that means bigger models and larger training sets, which require exponential increases in processin... » read more

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