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EE Times: IoT Was Interesting, But Follow the Money to AI Chips
Kurt Shuler, VP Marketing at Arteris IP, states that the upcoming change in focus will be so radical, that by 2025, a full five sixths of the growth in semiconductors is going to be the result of AI.
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Semiconductor Engineering: The Race To Multi-Domain SoCs
Arteris IP’s CEO looks at how automotive and AI are Altering chip design in this article in Semiconductor Engineering.
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Semiconductor Engineering: ISO 26262:2018, 2nd Edition: What Changes?
Arteris IP’s Kurt Shuler, vice president of marketing, delivers a recent update for the ISO 26262 standard in this blog in Semiconductor Engineering;
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SemiWiki: Why High-End ML Hardware Goes Custom
Kurt Shuler, VP Marketing at Arteris IP, provides more insight into what’s happening in this highly dynamic space in the latest SemiWiki blog written by Bernard Murphy (SemiWiki).
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ADAS Tech Talk Video has 16,000+ views
I just found out from Semiconductor Engineering editor Ed Sperling that the most popular Tech Talk video on semiengineering.com is our Arteris IP 13 minute tutorial on ADAS. The YouTube views are almost 17,000 and Ed has stats that show
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Semiconductor Engineering: Chasing Reliability In Automotive Electronics
Arteris IP’s Kurt Shuler, vice president of marketing has authored a paper about ISO 26262 and comments in this article.
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Semiconductor Engineering: AI Chips: NoC Interconnect IP Solves Three Design Challenges
Arteris’ Kurt Shuler warns that regular topologies, large chips, and huge bandwidths are considerations in AI-centric chips in the date center.
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Semiconductor Engineering: Tech Talk – AI Training Chips Video
Kurt Shuler, VP of Marketing at Arteris IP, chat’s about how to speed up algorithms and improve performance.
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SemiWiki: Disturbances in the AI Force
Bernard Murphy (SemiWiki) reflects on a discussion with Kurt Shuler, VP Marketing at Arteris IP, on customer trends in design for advanced ML accelerators, why these look quite different from traditional processor architectures and the implication for design particularly around
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SemiWiki: On-Chip Networks at the Bleeding Edge of ML
On-chip networks become a lot more challenging at the high-end of machine learning (ML). Bernard Murphy (SemiWiki) talked with Kurt Shuler, VP Marketing at Arteris IP, about the experience they have developed over the years of working with well-known ML
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