Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the fly—a step toward building AI that continually improves itself.

Using multiparametric breast MRI data from three hospitals, the research team developed the MOME model to enable non-invasive malignancy classification, molecular subtyping, and neoadjuvant ...

Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, adaptability and fairness.

Physical Intelligence, the San Francisco-based startup that has raised more than $400 million, has open-sourced its Pi0 robotic foundation model. Pi0 was introduced a few months ago and can be tuned ...

All the latest science news on physical model from Phys.org. Find the latest news, advancements, and breakthroughs.

There is a growing interest in applying large language models (LLMs) in robotic tasks, due to their remarkable reasoning ability and extensive knowledge learned from vast training corpora. Grounding ...

Training multi-modal models for GUI visual agents encounter significant challenges across multiple dimensions of computational design. Visual modeling presents substantial obstacles, particularly with ...

Physical data model. The final layer is physical and represents a composition of host system artifacts—physical data objects—derived from a logical data model coupled with its desired storage ...