IBM's NanoStack architecture has led to transistors that deliver 50% better performance and 70% less energy versus today's best technologies.

Industry leaders had worried that innovations in chip miniaturization were no longer possible. By Don Clark Reporting from San Francisco For decades, the tech industry has relied on the ability of semiconductor companies to wring more power out of computer chips,

A computer chip that calculates with light instead of electrical current has passed a milestone that researchers have chased for decades: it can run real neural-network tasks, on a sliver of silicon, using a fraction of the energy that a conventional ...

The most advanced silicon chips have accelerated the development of artificial intelligence. Now can AI return the favor? Cognichip is building a deep learning model to work alongside engineers as they design new computer chips. The problem it is trying to ...

The maker of ChatGPT plans to use enough chips to consume 10 gigawatts of electricity, an amount that could power millions of households. By Cade Metz Reporting from San Francisco In October, the artificial intelligence start-up OpenAI said it would work ...

Built with the help of AI agents, Microsoft's Majorana 2 takes a different approach to quantum computing, focusing on hardware-level stability as rivals like Google push scaling and error correction

Microsoft Majorana 2 advances topological qubits toward scalable quantum computing by 2029. Agentic AI through Microsoft Discovery helped automate quantum chip testing and fabrication workflows. Microsoft’s quantum roadmap faces scrutiny as researchers ...

OpenAI on Wednesday unveiled its first custom-designed computer chip, called Jalapeno, built to run ChatGPT and other artificial intelligence products faster and more cheaply.

U.S. President Donald Trump said today that Apple Inc. is going to “design and build” computer chips with Intel Corp. The deal, if confirmed, would be a significant win for Intel, which has struggled to secure big-name customers for its most advanced node technology in recent years.

The RTX Spark is effectively the same GB10 chip that’s in the DGX Spark, the tiny “personal AI supercomputer” that Nvidia released last year, only now it’s a family of chips instead of just one. The flagship version appears to be spec-to-spec identical with 20 CPU cores, 6,144 GPU cores and 128GB of LPDDR5X memory.