Semiconductor News & Analysis Feed

3349 articles
2026-05-27
finance.yahoo.com 2026-05-27 Yahoo Finance
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2026-05-27
www.benzinga.com 2026-05-27 Benzinga
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2026-05-27
letsdatascience.com 2026-05-27 Let's Data Science
FUNDING & BUSINESS micron memory hbm roundhill etf semiconductor etfs Micron Rally Boosts AI Memory ETFs and Funds 4 sources | May 26, 2026 6.9 Relevance Score Photo: cdn.benzinga.com · rights & takedowns QUICK SUMMARY Hide Micron Technology's 2026 surge in AI memory demand is lifting semiconductor ETFs and AI-infrastructure funds, according to coverage from 247wallst and Yahoo Finance. The newly
2026-05-27
boisedev.com 2026-05-27 Boise Dev
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2026-05-27
boisedev.com 2026-05-27 Boise Dev
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2026-05-27
finance.yahoo.com 2026-05-27 Yahoo Finance
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2026-05-27
www.kiplinger.com 2026-05-27 Kiplinger
HOME INVESTING STOCKS Micron Leads Tech as Nasdaq Hits High: Stock Market Today Investors, traders and speculators emerged from a three-day weekend optimistic about the long-term impact of artificial intelligence. BY DAVID DITTMAN PUBLISHED 21 MINUTES AGO IN NEWS When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. Share this article Print Jo
2026-05-27
seekingalpha.com 2026-05-27 Seeking Alpha
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2026-05-27
finance.yahoo.com 2026-05-27 Yahoo Finance
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2026-05-27
www.thestreet.com 2026-05-27 thestreet.com
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2026-05-27
finance.yahoo.com 2026-05-27 Yahoo Finance
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2026-05-27
investinglive.com 2026-05-27 investingLive
The price of Micron (MU) is up 20.8% TODAY. For the year the price is up 218%. That rivals some of the best years for Nvidia (238% ins 2023). Going back 12 months the price is up over 860% (from $96). That is extraordinary. Fundamentally speaking? Micron (MU) makes the “memory chips” that help AI computers remember information really fast. Without those memory chips, AI systems slow down badly —
2026-05-27
semiengineering.com 2026-05-27 Semiconductor Engineering
Researchers from Micron Technology and Argonne National Laboratory have released “Understanding Inference Scaling for LLMs: Bottlenecks, Trade-offs, and Performance Principles”. Abstract “The transition from standard generative AI to reasoning-centric architectures, exemplified by models capable of extensive Chain-of-Thought (CoT) processing, marks a fundamental paradigm shift in system requireme
2026-05-27
www.reuters.com 2026-05-27 Reuters
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2026-05-27
www.cnbc.com 2026-05-27 CNBC
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2026-05-27
www.syracuse.com 2026-05-27 Syracuse.com
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2026-05-27
finance.yahoo.com 2026-05-27 Yahoo Finance
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2026-05-27
www.fool.com 2026-05-27 The Motley Fool
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2026-05-27
simplywall.st 2026-05-27 simplywall.st
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2026-05-27
247wallst.com 2026-05-27 24/7 Wall St.
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