Cybord: Electronic Component Traceability


Counterfeit electronics is a multibillion-dollar industry worldwide. The challenge is finding them, and this is where Israeli startup Cybord is working to gain a foothold. The company has developed an AI-driven solution that checks for counterfeit parts during product assembly. “It's a huge task to check electronic components, said Cybord CEO Zeev Efrat. "It's not capacitors only, or resis... » read more

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

Can ML Help Verification? Maybe


Functional verification produces an enormous amount of data that could be used to train a machine learning system, but it's not always clear which data is useful or whether it can help. The challenge with ML is understanding when and where to use it, and how to integrate it with other tools and approaches. With a big enough hammer, it is tempting to call everything a nail, and just throwing ... » 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

Recipe To Catch Bugs Faster Using Machine Learning


We all agree that verification and debug take up a significant amount of time and are arguably the most challenging parts of chip development. Simulator performance has consistently topped the charts and is a critical component in the verification process. Still, the need of the hour is to stretch beyond simulator speed to achieve maximum verification throughput and efficiency. Artificial in... » read more

Why Geofencing Will Enable L5


What will it take for a car to be able to drive itself anywhere a human can? Ask autonomous vehicle experts this question and the answer invariably includes a discussion of geofencing. In the broadest sense, geofencing is simply a virtual boundary around a physical area. In the world of self-driving cars, it describes a crucial subset of the operational design domain — the geographic regio... » read more

FP8: Cross-Industry Hardware Specification For AI Training And Inference (Arm, Intel, Nvidia)


Arm, Intel, and Nvidia proposed a specification for an 8-bit floating point (FP8) format that could provide a common interchangeable format that works for both AI training and inference and allow AI models to operate and perform consistently across hardware platforms. Find the technical paper titled " FP8 Formats For Deep Learning" here. Published Sept 2022. Abstract: "FP8 is a natural p... » read more

Smart Manufacturing And Advanced Technical Service


SEMI spoke with Eyal Shekel, senior vice president of Service Strategy and Excellence at Tokyo Electron Limited, about the impact of artificial intelligence (AI) on smart manufacturing and how other fab solutions for smarter process tools are advancing semiconductor manufacturing. SEMI: AI technology is considered a key enabler for smart manufacturing. What are the latest trends? Shekel:... » read more

Artificial Intelligence 101: It’s Math, Not Magic


The term artificial intelligence (AI) can be somewhat misleading. While the medium of intelligence is designed (and, in that sense, artificial or human-made), the intelligence itself is based on very real data. However, most people hear “AI” and think of futuristic robots or scenes from science fiction movies, not recognizing that the origin of AI is not fictional or magical — it’s math... » read more

Better, Faster, And More Efficient Verification With The Power Of AI


Verification is often the most challenging part of the chip development process. Verification engineers have to balance quality of results (QOR) with time to results (TTR) and cost of results (COR). AI and ML technologies can play a significant part in increasing QOR, speeding up TTR, and reducing COR. This white paper outlines some of the major challenges for verification, describes how AI pro... » read more

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