Blog List

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The U.S. Department of Energy oversees national energy policy and production. As big a job as that is, the DOE also does so much more — enough to have earned the nickname “Department of Everything.” In this episode of the

Spotlight: HarperCollins is asking authors to license their books for AI training (source: The Verge) – OpenAI investor Josh Kushner praises Musk, despite Musk’s OpenAI lawsuit (source: TechCrunch) – Ben Affleck tells actors and writers not to worry about AI

I’ve been reviewing this response paper to recent skepticism about AI/ML approaches for chip design. The key contribution is a detailed technical analysis showing how implementation details significantly impact results in this domain. Main technical points: – Original methods require

It’s now evident across industries that artificial intelligence is already transforming the workforce, but not through direct human replacement—instead, by reducing the number of roles required to complete tasks. This trend is particularly pronounced for junior developers and most critically

Behind every emerging technology is a great idea propelling it forward. In the Microsoft Research Podcast series Ideas, members of the research community at Microsoft discuss the beliefs that animate their research, the experiences and thinkers that inform it, and

NVIDIA and Microsoft today unveiled product integrations designed to advance full-stack NVIDIA AI development on Microsoft platforms and applications. At Microsoft Ignite, Microsoft announced the launch of the first cloud private preview of the Azure ND GB200 V6 VM series,

Generative AI-powered laptops and PCs are unlocking advancements in gaming, content creation, productivity and development. Today, over 600 Windows apps and games are already running AI locally on more than 100 million GeForce RTX AI PCs worldwide, delivering fast, reliable

Despite their impressive capabilities, AI systems still have clear weaknesses, whether it’s understanding context, reasoning through complex problems, or reducing reliance on massive datasets. In your opinion, what are the most critical technical or conceptual limitations holding AI back today?

As AI becomes more powerful and embedded in daily life, ensuring its responsible use is critical. How do we navigate the challenges of keeping up with innovation while maintaining ethical standards? Should governments and organizations take a proactive role, or