Microsoft Research findings show moving AI inference beyond the robot can improve task success
The findings also say the approach can increase efficiency and support more advanced physical AI workloads.
The findings also say the approach can increase efficiency and support more advanced physical AI workloads.
DAIR.AI highlighted AutoTailor, a paper from Microsoft Research and colleagues that turns web trajectories into parameterized browser-automation APIs and filters them down to 33. On 106 WebArena Postmill tasks, those APIs with a ReAct fallback reached 90.6% correctness versus 87.5% for ReAct alone.
Microsoft Research said a new Nature paper highlights RetroChimera, a predictive model that helps accelerate chemical synthesis so researchers can explore a wide range of molecules.