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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403 results for AI
IBM’s newest time-series models cover a full range of enterprise prediction tasks
Technical noteWesley Gifford, Vijay Ekambaram, Roman Vaculin, Angeliki Pantazi, Lars Graf, Thomas Ortner, Pankaj Dayama, and Chandra ReddyToward a transparent supply chain for AI
NewsKim MartineauDonating llm-d to the Cloud Native Computing Foundation
NewsPeter HessTurning turbulence into transcripts
NewsMike MurphyTerraStackAI: Bringing Earth and space AI to Red Hat and the world
Technical noteRosie Lickorish, Campbell Watson, Michael Johnston, Romeo Kienzler, Blair Edwards, and Charles WachiraLifting the cover on the IBM Spyre Accelerator
Technical noteJeffrey BurnsHow IBM Granite became a leader in responsible AI
ExplainerKim MartineauAI for seeing the forest — and the trees
NewsKim MartineauMeet the IBM researchers trying to raise AI’s intelligence-per-watt ratio
Q & AKim MartineauLLMs have model cards. Now, benchmarks do, too
ReleaseKim MartineauBoost your tools: Introducing ToolOps, the tool lifecycle extension in ALTK
Technical noteJim Laredo, Renuka Sindhgatta, Sameep Mehta, Prerna Agarwal, Jayachandu Bandlamudi, Neelamadhav Gantayat, Himanshu Gupta, Rohith Vallam, and Ritwik ChaudhuriIBM Granite tops Stanford’s list as the world’s most transparent model
NewsPeter HessTeams of agents can take the headaches — and potential costs — out of finding IT bugs
ReleaseMike MurphyIBM’s software engineering agent tops the Multi-SWE-bench leaderboard for Java
NewsPeter HessThe quest to teach LLMs how to count
ResearchKim MartineauIBM and Kaggle launch new AI leaderboards for enterprise tasks
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