Semiconductor News & Analysis Feed

18 articles
2026-05-27
digitimes.com 2026-05-27
Huawei's Tau Law proposal is rapidly redirecting attention across China's semiconductor industry away from pure lithography competition and toward advanced packaging, 3D stacking, optical interconnects, and system-level architecture design.
2026-05-26
digitimes.com 2026-05-26
As Micron Technology's decision to restart large-scale DDR4 production in the US grabs global attention, memory-chip executives and analysts say the move is less a revival of aging technology than a strategic reshuffling of supply aimed at safeguarding critical American industries.
2026-05-25
247wallst.com 2026-05-25 24/7 Wall St.
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2026-05-25
finance.yahoo.com 2026-05-25 Yahoo Finance
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2026-05-24
ca.finance.yahoo.com 2026-05-24 Yahoo! Finance Canada
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2026-05-24
www.marktechpost.com 2026-05-24 MarkTechPost
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2026-05-22
finance.yahoo.com 2026-05-22 Yahoo Finance
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2026-05-22
www.fool.com 2026-05-22 The Motley Fool
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2026-05-19
www.benzinga.com 2026-05-19 Benzinga
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2026-05-18
www.ad-hoc-news.de 2026-05-18 AD HOC NEWS
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2026-05-18
www.moomoo.com 2026-05-18 Moomoo
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2026-05-14
finance.yahoo.com 2026-05-14 Yahoo Finance
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2026-05-14
stocktwits.com 2026-05-14 Stocktwits
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2026-05-12
www.phonearena.com 2026-05-12 PhoneArena
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2026-05-10
www.fool.com 2026-05-10 The Motley Fool
Shares ofAdvanced Micro Devices(AMD0.61%)have rocketed more than 320% over the past year as investors have followed AMD's growth story in providing processors for agentic artificial intelligence (AI).The gains forNvidiaaren't anything to be embarrassed about; the stock has jumped 82% over the past 12 months, compared to theS&P 500's 32% gains.But the big disparity between AMD's and Nvidia's gains
2026-05-07
www.trefis.com 2026-05-07 Trefis
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2026-05-06
www.digitaltoday.co.kr 2026-05-06 디지털투데이
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2026-05-06
semiengineering.com 2026-05-06 Semiconductor Engineering
A new technical paper, “AMMA: A Multi-Chiplet Memory-Centric Architecture for Low-Latency 1M Context Attention Serving,” was published by researchers at UC San Diego, Columbia University, Yonsei University, NVIDIA, and Samsung.Abstract“All current LLM serving systems place the GPU at the center, from production-level attention-FFN disaggregation to NVIDIA’s Rubin GPU-LPU heterogeneous platform. Ev