Week In Review: Auto, Security, Pervasive Computing


Rambus will begin selling Arm's CryptoCell embedded security platform and CryptoIsland root-of-trust cores, setting the stage for a much broader push by Rambus into security for a wide range of connected devices, and ultimately into security as a service. Under the terms of the deal, Rambus' customers will be able to license Arm IP directly from Rambus. For Arm's existing customers, there will ... » read more

Safety, Security, And Reliability Of AI In Autos


Experts at the Table: Semiconductor Engineering sat down to talk about security, aging, and safety in automotive AI systems, with Geoff Tate, CEO of Flex Logix; Veerbhan Kheterpal, CEO of Quadric; Steve Teig, CEO of Perceive; and Kurt Busch, CEO of Syntiant. What follows are excerpts of that conversation, which was held in front of a live audience at DesignCon. Part one of this discussion is he... » read more

AI’s Impact In Automobiles Remains Uncertain


Experts at the Table: Semiconductor Engineering sat down to talk about software updates in cars, where AI makes sense, and why there's a growing sense of optimism, with Geoff Tate, CEO of Flex Logix; Veerbhan Kheterpal, CEO of Quadric; Steve Teig, CEO of Perceive; and Kurt Busch, CEO of Syntiant. What follows are excerpts of that conversation, which were held in front of a live audience at Desi... » read more

Where And Why AI Makes Sense In Cars


Experts at the Table: Semiconductor Engineering sat down to talk about where AI makes sense in automotive and what are the main challenges, with Geoff Tate, CEO of Flex Logix; Veerbhan Kheterpal, CEO of Quadric; Steve Teig, CEO of Perceive; and Kurt Busch, CEO of Syntiant. What follows are excerpts of that conversation, which were held in front of a live audience at DesignCon. Part two of this... » read more

Complex Tradeoffs In Inferencing Chips


Designing AI/ML inferencing chips is emerging as a huge challenge due to the variety of applications and the highly specific power and performance needs for each of them. Put simply, one size does not fit all, and not all applications can afford a custom design. For example, in retail store tracking, it's acceptable to have a 5% or 10% margin of error for customers passing by a certain aisle... » read more

Startup Funding: March 2022


Semiconductor manufacturing, test, and inspection equipment startups did well in March. Investors funded a wide variety of equipment companies, including test equipment, materials handling, and those that make parts and components. In the manufacturing space, several companies developing manufacturing execution systems received funding, as well as a startup trying to prevent counterfeit parts f... » read more

Week In Review: Design, Low Power


Valens Semiconductor began trading on the New York Stock Exchange as VLN after a merger with special-purpose acquisition company (SPAC) PTK Acquisition Corp. Valens offers high-speed connectivity chips for the audio-video and automotive markets, including its HDBaseT technology for connectivity between ultra-HD video sources and remote displays and its in-vehicle high-speed links. The transacti... » read more

Making Sense Of New Edge-Inference Architectures


New edge-inference machine-learning architectures have been arriving at an astounding rate over the last year. Making sense of them all is a challenge. To begin with, not all ML architectures are alike. One of the complicating factors in understanding the different machine-learning architectures is the nomenclature used to describe them. You’ll see terms like “sea-of-MACs,” “systolic... » read more

Startup Funding: August 2020


Semiconductor startups were hot this month, with big funding going to designers and chip analytics. In automotive, one Chinese electric vehicle company raised another large round right before its IPO, and a LiDar maker's reverse merger gave it a cash infusion and set it on its own IPO road. Plus, a growing quantum computer developer saw a funding boost. This month, we feature 17 startups that c... » read more

Memory Issues For AI Edge Chips


Several companies are developing or ramping up AI chips for systems on the network edge, but vendors face a variety of challenges around process nodes and memory choices that can vary greatly from one application to the next. The network edge involves a class of products ranging from cars and drones to security cameras, smart speakers and even enterprise servers. All of these applications in... » read more

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