Introducing the first sub-1 nanometer node chip — the smallest, most powerful chip technology in the world
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Mike Murphy
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73 results for AI Hardware
How John Knickerbocker spent a career cultivating new technologies
Deep DivePeter HessHow low-precision computing boosts efficiency — without hurting accuracy
ExplainerPeter HessInside the lab testing some of the world’s most capable AI chips
Deep DiveMike MurphyCo-packaged optics deliver high-speed connectivity to supercharge generative AI computing
NewsPeter HessAccelerating discoveries with new AI tools, powerful chips — and turkey
ExplainerMike Murphy, Kim Martineau, and Peter HessThe path to more powerful — and efficient — AI systems
NewsMike MurphyRapidly unlocking geospatial insights with IBM AI chips
NewsBethany Hill McCarthyCharting a path to a more sustainable AI future
ResearchMike MurphyBringing cloud-native AI supercomputing to a data center near you
Technical noteTalia Gershon, Yoonho Park, Nicole Saulnier, Daniel Klyashtorny, Jamey Roe, and Edward BarthThe chips of tomorrow may well take inspiration from the architecture of our brains
ExplainerPeter HessNew algorithms open possibilities for training AI models on analog chips
ResearchPeter HessFor LLMs, IBM’s NorthPole chip overcomes the tradeoff between speed and efficiency
ResearchPeter HessEnhancing enterprise AI with the IBM Spyre Accelerator
NewsMike MurphyIBM, Canada, and Quebec are partnering to secure the future of chipmaking in North America
NewsMike MurphyThe future of AI research comes to Albany
NewsMike MurphySupercharging IBM’s cloud-native AI supercomputer
NewsTalia Gershon, Seetharami Seelam, Drew Thorstensen, Rohit Badlaney, and Bengi Karacali-Akyamac
