Micron Technology unveiled Micron Research Labs on August 20, 2026, a Boise-headquartered U.S. research institution focused on long-horizon advances in memory, computing and semiconductor manufacturing. The company plans to invest $10 billion in the labs over the next decade, funding a flagship Boise campus, university collaborations, global satellite labs and partnerships with government, startups, customers and other semiconductor-industry participants. Research will cover critical memory technologies, advanced memory and compute architectures, chip packaging, and future manufacturing methods. Micron said the institution will pursue work beyond current technology roadmaps and a 10-year horizon, while connecting its research operations across the United States, Europe, Japan, India, Singapore and Taiwan. The company expects to break ground on a facility capable of hosting hundreds of researchers in 2027; it is also expected to host conferences, workshops and innovation forums in Boise. The planned lab investment is separate from Micron’s previously announced commitment of more than $250 billion to U.S. manufacturing and research and development, which Micron says is expected to create more than 90,000 American jobs. Micron describes itself as the only U.S.-based company developing and manufacturing leading-edge memory.

The U.S. Department of Energy has launched the Genesis Open Models Initiative to promote the development and sharing of open-source models for energy systems. This initiative aims to enhance collaboration among researchers and facilitate advancements in energy technology.

Google has shut down its AlphaFold project, which was recognized with a Nobel Prize for its contributions to protein folding predictions. Key members of the DeepMind team have been reassigned or have left the company as Google shifts its focus to the Gemini project.

John Jumper, a prominent scientist at Google DeepMind, will be leaving the company to join Anthropic. His move is part of a broader trend of talent migration within the AI industry.

A bit of news: After nearly 9 years, I have decided to leave Google DeepMind and join Anthropic (after taking some time to recharge). I am incredibly grateful for my time at GDM. @demishassabis took a real chance letting me lead the AlphaFold team just six months after finishing my PhD, and the entire GDM team taught me so much about how to do great science. GDM is a special place, and I’ll still ...

Tom Di Mino, a self-taught AI engineer, claims to have deciphered the Bronze-age Minoan writing system known as Linear A, a challenge that has perplexed linguistics experts for over a century. His claims are currently under review by linguistics experts at Rutgers and Cambridge.

Nicholas Carlini, an Anthropic researcher, demonstrated the vulnerability of systems to new AI models, raising concerns among cybersecurity experts. The Trump administration has expressed anxiety over the potential risks posed by Anthropic's next-generation AI software to global cybersecurity.

Sebastian Raschka@rasbthttp://x.com/i/article/2063647807437705216…午前1:47 · 2026年6月8日391239361,38039件の返信を読む

In July 2025, AI models successfully solved five out of six problems at the International Mathematical Olympiad, surprising mathematicians with their rapid advancement. Despite these impressive results, the impact of AI on research mathematics remains uncertain.

Alibaba's Qwen team has released the Qwen 3.5 family of open weight models. Junyang Lin, the lead researcher, announced his departure from the team via Twitter.