A 360 review of AI agent benchmarks
Research
Kim Martineau
Blog
327 results for AI
Simplifying geospatial AI with TerraTorch 1.0
Technical noteRomeo Kienzler, Juan Bernabé-Moreno, Paolo Fraccaro, Bianca Zadrozny, Campbell Watson, Benedikt Blumenstiel, Joao Lucas de Sousa Almeida, Michael Johnston, Christian Pinto, and Michal MuszynskiBeeAI now has multiple agents, and a standardized way for them to talk
ResearchKim MartineauAI and quantum computing: How IBM showed up at SXSW 2025
NewsMike MurphyAI 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 Martineau
