A fully autonomous robot that can quickly and reliably test materials, boosting both speed and accuracy in self-driving labs.

Conventional robots, like those used in industry and hazardous environments, are easy to model and control, but are too rigid ...

Dual-use infrastructure, artificial intelligence (AI)-powered risk analysis, and community empowerment are the key components needed to drive disaster resilience in an era of mounting climate ...

Vivian Health reports AI is revolutionizing medical imaging, enhancing speed, accuracy, and patient care through advanced ...

The robot has also shown promising results, taking 125 unique measurements per hour in a 24-hour test. The precision and ...

When faced with a tricky maze task involving hidden information, humans instinctively toggle between two clever mental strategies: simplifying in steps or mentally rewinding. MIT researchers showed ...

Find out how this structured machine learning roadmap called I-Con could lead to breakthroughs in AI.

New MIT Climate Model Uses Machine Learning To Make Better Local Predictions A new climate model can predict the effects of climate change at smaller scales.

MIT researchers have introduced a new algorithm designed to facilitate the creation of shape-shifting slime robots using a machine learning technique.

MIT researchers devised a machine-learning-based method to investigate how materials behave at their surfaces. The approach could help with developing new compounds or alloys for use as ...