Inspired by physics, a new generative model PFGM++ outperforms diffusion models in image generation.

The machine-learning method works on most mobile devices and could be expanded to assess other motor disorders outside of the doctor’s office.

With Style2Fab, makers can rapidly customize models of 3D-printable objects, such as assistive devices, without hampering their functionality.

Researchers use multiple AI models to collaborate, debate, and improve their reasoning abilities to advance the performance of LLMs while increasing accountability and factual accuracy.

The system could improve image quality in video streaming or help autonomous vehicles identify road hazards in real-time.

The system could be used for battery-free underwater communication across kilometer-scale distances, to aid monitoring of climate and coastal change.

MIT system demonstrates greater than 100-fold improvement in energy efficiency and a 25-fold improvement in compute density compared with current systems.

With a new technique, a robot can reason efficiently about moving objects using more than just its fingertips.