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1.
SK hynix and TetraMem collaborate on experimental chip to bolster energy efficiency for edge AI devices — memristor-based in-memory SoC research leaves performance questions up in the air (tomshardware.com)
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It’s been 8 years of phone AI chips — and they’re still wasting their potential (androidauthority.com)
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Local AI is driving the biggest change in laptops in decades (news.ycombinator.com)
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Huawei Ascend NPU roadmap examined — company targets 4 ZettaFLOPS FP4 performance by 2028, amid manufacturing constraints (tomshardware.com)
5.
Your Laptop Isn’t Ready for LLMs. That’s About to Change (spectrum.ieee.org)
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