As AI infrastructure fragments into specialized tiers, CPUs are becoming the orchestration layer for agentic workloads.
Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?
The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most ...
Shanghai-based MiniMax last week published the open weights and arXiv technical report for its M3 model — fulfilling a commitment made at launch on June 1 — and independent benchmarking firm ...
Artificial intelligence is rewriting the world and simultaneously inventing a whole new language to describe how it’s doing it. Sit in on any product meeting, pitch, or panel these days, and you’ll ...
Abstract: Memory-mapped IO offers several advantages over explicit read/write IO. It requires no system call, incurs minimal overhead in case of cache hits, and avoids extra data copies between user ...
Professor Moinuddin Qureshi received the ACM SIGARCH/IEEE-CS TCCA Influential ISCA Paper Award at the International Symposium on Computer Architecture (ISCA 2026) on June 30. Presented annually, the ...
The same family of artificial intelligence that powers today's image generators is now being aimed at one of biology's ...
As modern vehicles become increasingly software-driven and OEMs continue to tighten security, the company has had to work ...
The AI race is driving a surge of data centers in the United States, where some lawmakers want a more cautious approach.
The maker of ChatGPT plans to use enough chips to consume 10 gigawatts of electricity, an amount that could power millions of households.
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