When a single prompt can trigger chains of reasoning, tool calls, and multi-modal outputs that ripple through customer experiences and compliance obligations, the hard part of AI no longer lives in model training but in proving that the whole agent behaves correctly under pressure and at scale.
Why AI agents keep forgetting—and why it’s a business problem Long-running agents still behave like short-term guests: they arrive with a clean slate, work within a finite context window, and forget the conversation as soon as the session ends unless someone leaves breadcrumbs long enough to
Hospitalsfaceastarkrealityinmedicalimagingwherelabeleddataarescarceanddomainsdivergewildlyacrosscenters. Across scanners, protocols, and patient cohorts, the visual look of the same anatomy can shift just enough to trip up segmentation systems trained under tidy lab assumptions. A new training
A sharper way to ask the hard question What if the leap in robot reliability came not from ever-larger models but from a smarter split between thinking and doing that keeps language plans on a short leash and loops real-world feedback back into every choice the machine makes? The premise is blunt:
Setting the Stage for AI Transformation Imagine a world where enterprises can harness the full potential of artificial intelligence without grappling with insurmountable technical barriers. At SC25, Dell Technologies and NVIDIA have turned this vision into reality, unveiling groundbreaking
In a world where the demand for sustainable seafood is soaring, a group of bright minds from MIT embarked on an extraordinary journey to Trondheim, Norway, to uncover the secrets of offshore aquaculture technology. This initiative, driven by MIT Sea Grant and the MIT-Scandinavia MISTI program,
