tag: Quadric

AI Benchmarks Are Broken
By Jon Bunting - 14 Mar, 2023 - Comments: 0

Artificial Intelligence (AI) is shaping up to be one of the most revolutionary technologies of our time. By now you’ve probably heard that AI’s impact will transform entire industries, from healthcare to finance to entertainment, delivering us richer products, streamlined experiences, and augment human productivity, creativity, and leisure. Even non-technologists are getting a glimpse of... » read more

Week In Review: Auto, Security, Pervasive Computing
By Linda Christensen - 10 Mar, 2023 - Comments: 0

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
By Ed Sperling - 22 Feb, 2023 - Comments: 0

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
By Ed Sperling - 15 Feb, 2023 - Comments: 0

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

The Next Disruption
By Steve Roddy - 09 Feb, 2023 - Comments: 0

Machine learning (ML) is an inherently disruptive technology because the algorithm architectures are evolving so fast and are very compute intensive, requiring innovative silicon for acceptable performance. This blog looks at where we’ve been and where ML is going – into another market ready for disruption. ML started in the data center In the early days of the ML explosion – a mere 8 o... » read more

Disaggregating And Extending Operating Systems
By Karen Heyman - 09 Feb, 2023 - Comments: 0

The push toward disaggregation and customization in hardware is starting to be mirrored on the software side, where operating systems are becoming smaller and more targeted, supplemented with additional software that can be optimized for different functions. There are two main causes for this shift. The first is rising demand for highly optimized and increasingly heterogeneous designs, which... » read more

Chiplets Taking Root As Silicon-Proven Hard IP
By Ann Mutschler - 09 Feb, 2023 - Comments: 0

Chiplets are all the rage today, and for good reason. With the various ways to design a semiconductor-based system today, IP reuse via chiplets appears to be an effective and feasible solution, and a potentially low-cost alternative to shrinking everything to the latest process node. To enable faster time to market, common IP or technology that already has been silicon-proven can be utilized... » read more

Where And Why AI Makes Sense In Cars
By Ed Sperling - 02 Feb, 2023 - Comments: 0

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

Selecting The Right RISC-V Core
By Brian Bailey - 16 Jan, 2023 - Comments: 0

With an increasing number of companies interested in devices based on the RISC-V ISA, and a growing number of cores, accelerators, and infrastructure components being made available, either commercially or in open-source form, end users face an increasingly difficult challenge of ensuring they make the best choices. Each user likely will have a set of needs and concerns that almost equals th... » read more

Will Floating Point 8 Solve AI/ML Overhead?
By Karen Heyman - 12 Jan, 2023 - Comments: 2

While the media buzzes about the Turing Test-busting results of ChatGPT, engineers are focused on the hardware challenges of running large language models and other deep learning networks. High on the ML punch list is how to run models more efficiently using less power, especially in critical applications like self-driving vehicles where latency becomes a matter of life or death. AI already ... » read more

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