Introducing the first sub-1 nanometer node chip — the smallest, most powerful chip technology in the world
News
Mike Murphy
Blog
For LLMs, IBM’s NorthPole chip overcomes the tradeoff between speed and efficiency
ResearchPeter HessHow memory augmentation can improve large language model efficiency and flexibility
ResearchPeter HessIntroducing Prithvi WxC, a new general-purpose AI model for weather and climate
NewsKim MartineauReinventing data preparation on cloud to scale enterprise AI
NewsMike MurphyTraining AI models faster than ever
NewsPeter HessQiskit leads quantum software development kits in performance, testing shows
NewsBlake Johnson, Paul Nation, Ryan Mandelbaum, and David KremerAnnouncing the Qiskit Functions Catalog
ReleaseRyan Mandelbaum, Tushar Mittal, Suhare Nur, Sanket Panda, and Jennifer GlickHudson Forum 2024: Building the future with collaboration and math
NewsMike MurphySimplify your Code LLM solutions using CodeLLM DevKit
Technical noteMaja Vukovic, Saurabh Sinha, Rahul Krishna, Raju Pavuluri, and Rangeet PanA toxic language filter built for speed
NewsKim MartineauQiskit Serverless sets the stage for Qiskit Functions in the cloud
Technical noteRobert Davis, Kaelyn Ferris, and Sanket PandaPonder This Challenge - September 2024 - Sibling triangles
PuzzleGadi Aleksandrowicz- Ponder This
How IBM Research built a lab for the future of computing
Deep DiveMike MurphyImproving Hugging Face training efficiency through packing with flash attention
Technical noteRaghu Ganti, Mayank Mishra, Achintya Kundu, Arthur Zucker, Rhui Dih Lee, and Laura WynterEnhancing enterprise AI with the IBM Spyre Accelerator
NewsMike MurphyBreaking down the AI transformer
ExplainerKim Martineau
