IBM and partners open-source a new AI model for monitoring Earth’s oceans
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66 results for AI Hardware
Charting 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, Bengi Karacali-Akyamac, Seetharami Seelam, Drew Thorstensen, and Rohit BadlaneyFive takeaways from this year’s IBM AI Hardware Forum
NewsMike MurphyA new chip architecture points to faster, more energy-efficient AI
NewsMike MurphyIBM Research’s newest prototype chips use drastically less power to solve AI tasks
NewsMike MurphyIBM Research's latest analog AI chip for deep learning inference
NewsAbu Sebastian, Manuel Le Gallo-Bourdeau, and Vijay NarayananDisentangling visual attributes with neuro-vector-symbolic architectures, in-memory computing, and device noise
Technical noteAbu Sebastian, Abbas Rahimi, and Geethan KarunaratneHow the future of computing might look like nothing before
NewsLeonid Leiva AriosaThe future of analog AI hardware
ResearchMike Murphy
