A rough guide for going back to the Moon
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Kim Martineau
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414 results for AI
Lifting 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 noteHimanshu Gupta, Jim Laredo, Neelamadhav Gantayat, Jayachandu Bandlamudi, Prerna Agarwal, Sameep Mehta, Renuka Sindhgatta, Ritwik Chaudhuri, and Rohith VallamIBM 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
NewsMike MurphyIBM Granite 4.0: Hyper-efficient, high performance hybrid models for India
Technical noteRudra Murthy, Rameswar Panda, Jaydeep Sen, and Amith SingheeIBM and ESA open-source AI models trained on a new dataset for analyzing extreme floods and wildfires
ReleaseKim MartineauAccelerating AI inference with IBM Storage Scale
Technical noteYue Zhu, Radu Stoica, Animesh Trivedi, Jonathan Terner, Frank Schmuck, Jeremy Cohn, Christof Schmitt, Anthony Hsu, Guy Margalit, Vasily Tarasov, Swaminathan Sundararaman, Talia Gershon, and Vincent HsuIt takes a village to make open infrastructure for AI a reality
NewsPeter HessCtrl+Z for agents
ResearchKim Martineau
