What’s next in computing is generative and quantum
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324 results for AI
AI from deep cloud to far-edge: A flawless end-to-end experience
Technical noteSiddhika Nevrekar, Andreas Kuhmichel, Gaurav Garg, Eric Dulkeith, and Rojan JoseIBM’s Mikhail Yurochkin wants to make AI’s “cool” factor tangible
ResearchKim MartineauHow we slimmed down Granite Guardian
ReleaseKush Varshney and Mike MurphyHow close are we to real AI reasoning?
Q & APeter HessIBM Granite now has eyes
ResearchKim MartineauReasoning in Granite 3.2 using inference scaling
ResearchLuis LastrasIntroducing the GneissWeb dataset
Technical noteHajar Emami Gohari, Swanand Kadhe, Syed Yousaf Shah, and Bishwaranjan BhattacharjeeIBM’s new benchmark changes monthly to avoid teaching to the test
ResearchKim MartineauWhy a decades old architecture decision is impeding the power of AI computing
ExplainerPeter HessAI agents have the potential to revolutionize work — and now you can measure if they actually are
ReleaseMike MurphyThe 2024 IBM Research annual letter
Deep DiveSriram Raghavan, Mukesh Khare, and Jay GambettaHow analog in-memory computing could power the AI models of tomorrow
ResearchPeter HessA benchmark for evaluating conversational RAG
ResearchKim MartineauHow low-precision computing boosts efficiency — without hurting accuracy
ExplainerPeter HessMeet IBM’s new family of AI models for materials discovery
NewsKim MartineauCan a personalized AI be more useful?
NewsKim Martineau
