tag: AI

Simplifying AI Edge Deployment
By Ed Sperling - 10 Oct, 2022 - Comments: 0

Barrie Mullins, vice president of product at Flex Logix, explains how a programmable accelerator chip can simplify semiconductor design at the edge, where chips need to be high performance as well as low power, yet developing everything from scratch is too expensive and time-consuming. Programmability allows these systems to stay current with changes in algorithms, which can affect everything f... » read more

AI ASICs Will Become Increasingly Application-Specific
By Anand Joshi - 10 Oct, 2022 - Comments: 0

Back in 2017, I blogged about AI ASICs being not exactly ASICs. One of the primary reasons for not calling AI acceleration chips ASIC is because historically ASIC or Application Specific Integrated Circuit has referred to a fixed hardware block with limited programmability. AI ASICs on the other hand offer significant programming via frameworks such as Tensorflow and the point was that they are... » read more

Auto Safety Tech Adds New IC Design Challenges
By John Koon - 06 Oct, 2022 - Comments: 1

The role of AI/ML in automobiles is widening as chipmakers incorporate more intelligence into chips used in vehicles, setting the stage for much safer vehicles, fewer accidents, but much more complex electronic systems. While full autonomy is still on the distant horizon, the short-term focus involves making sure drivers are aware of what's going on around them — pedestrians, objects, or o... » read more

Cybord: Electronic Component Traceability
By Zoya Hasan - 04 Oct, 2022 - Comments: 4

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
By Ed Sperling - 03 Oct, 2022 - Comments: 0

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
By Brian Bailey - 22 Sep, 2022 - Comments: 0

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
By Ed Sperling - 20 Sep, 2022 - Comments: 0

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
By Anika Sunda - 19 Sep, 2022 - Comments: 0

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
By Marie C. Baca - 19 Sep, 2022 - Comments: 1

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)
By Technical Paper Link - 16 Sep, 2022 - Comments: 0

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

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