Why a decades old architecture decision is impeding the power of AI computing
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Peter Hess
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Why a decades old architecture decision is impeding the power of AI computing
ExplainerPeter HessHow analog in-memory computing could power the AI models of tomorrow
ResearchPeter Hess- Topic
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, Peter Hess, and Kim MartineauThe 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 Hess
