@jlpea-mdpi.bsky.social🎙️ New interview: JLPEA Editorial Board Member Dr. Kyeong‑Sik Min (Kookmin University).
He shares insights on low‑power VLSI, in‑memory computing & emerging memory hardware for edge‑AI.
🔗 Read full interview: www.mdpi.com/journal/jlpe...
#VLSI #MemoryDesign#CMOS
#FPGA #Semiconductors#ICDesign
@qmshahzad.bsky.socialReports say the AI inference-chip startup is weighing offers at a $40-50 billion valuation, roughly double its September round, though no new round is confirmed. #Etched #AIChips #Semiconductors
@news.karthihegde.devFrom Moore's Law to Eroom's Law: Power Constraints and the Productivity Slowdown
Discussion | hackernews | Author: paulpauper
@siliconsignalai.bsky.socialVisionWeave is proposed as a native elastic visual representation capability for MLLMs, learning where and at what granularity to allocate visual tokens rather than using fixed-size patch tokens. The arXiv paper targets…
#semiconductors #AI #MLLMs #inference
https://arxiv.org/abs/2610.07987
@semiconductornews.bsky.socialASML revenue hits $36.6B in FY25, up 15%. Dominates critical chip tech
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@hardwarebriefcom.bsky.socialIntel Joins Elon Musk's Terafab Project in Texas
@semiconductornews.bsky.socialAMD CEO warns AI chip demand outstrips supply, with bookings extending to 2028. Micron workers vote to strike. Full day recap
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@semiconductornews.bsky.socialAMD CEO warns AI chip demand outstrips supply, with bookings extending to 2028. Micron workers vote to strike. Full day recap
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@asiaai.bsky.socialSamsung's push to double 2027 HBM4 prices to Nvidia proves that upstream packaging complexity, not buyer pushback, dictates AI infra terms. If you control the 4nm base die, you hold the ultimate pricing power.
@siliconsignalai.bsky.socialTEE-based LLM inference is slow because GPUs handle most compute; new work proposes splitting inference with DP-protected intermediate representations to balance privacy and speed. Authors show 80% prompt-reconstruction accuracy…
#semiconductors #AI #GPU #privacy
https://arxiv.org/abs/2609.15039
@semiconductornews.bsky.socialXeal to deploy 100,000 Nvidia GPUs; AT&S invests €2B in Malaysia for AI substrates; Qualcomm inks Huawei deal. Full
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@semiconductornews.bsky.socialXeal to deploy 100,000 Nvidia GPUs; AT&S invests €2B in Malaysia for AI substrates; Qualcomm inks Huawei deal. Full
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@hardwarebriefcom.bsky.socialSamsung Completes HBM4E Testing for NVIDIA
@pulseofnations.lolChip stocks fell 2-3 percent Wednesday premarket as the 10-year yield topped 5.3 percent and crude added pressure, with Samsung earnings and $14 billion in ETF rebalancing due Thursday.
#Amd #Micron #Samsung #Sandisk #Semiconductors #TreasuryYields
@techinsightsinc.bsky.social⏰ Last chance. October's free TechInsights reports close tomorrow.
Inside this month's selection:
📱 Kirin 9030 Pro packaging
🖥️ Intel Sierra Forest chiplets
Don’t miss out, explore the premium reports available🔗 bit.ly/4zloGal
@semiconductornews.bsky.socialNvidia nears $6T valuation as Microsoft brings AI Superchip to laptops. Samsung eyes record profit. Dive into today's ch
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@thedailytechfeed.comApple’s M6 gets denser, faster—2-nm tech, bigger cache, smarter layout. #Apple #M6 #Silicon #TechNews #Semiconductors #AI thedailytechfeed.com/apples-m6-ch...
@informaq.bsky.socialAmplify ETFs launches concentrated semiconductor ETF (CPU) tracking top 10 momentum leaders in chip design, manufacturing, and AI innovation, capturing growth from rising computing power demands in AI and automotive sectors.