AI assistant monitors teamwork to promote effective collaboration
An AI team coordinator aligns agents’ beliefs about how to achieve a task, intervening when necessary to potentially help with tasks in search and rescue, hospitals, and video games.
An AI team coordinator aligns agents’ beliefs about how to achieve a task, intervening when necessary to potentially help with tasks in search and rescue, hospitals, and video games.
The convoluted “legalese” used in legal documents conveys a special sense of authority, and even non-lawyers have learned to wield it.
MIT researchers have found a way to make structural materials last longer under the harsh conditions inside a fusion reactor.
These zinc-air batteries, smaller than a grain of sand, could help miniscule robots sense and respond to their environment.
The software tool NeuroTrALE is designed to quickly and efficiently process large amounts of brain imaging data semi-automatically.
In controlled experiments, MIT CSAIL researchers discover simulations of reality developing deep within LLMs, indicating an understanding of language beyond simple mimicry.
The presence of organic matter is inconclusive, but the rocks could be scientists’ best chance at finding remnants of ancient Martian life.
The new device, which can be implanted under the skin, rapidly releases naloxone when an overdose is detected.
The approach can detect anomalies in data recorded over time, without the need for any training.
Gamma frequency light and sound stimulation preserves myelination in mouse models and reveals molecular mechanisms that may underlie the benefit.
An MIT-led group shows how to achieve precise control over the properties of Weyl semimetals and other exotic substances.
Large multi-ring-containing molecules known as oligocyclotryptamines have never been produced in the lab until now.
MIT Concrete Sustainability Hub research presents a streamlined pavement life-cycle assessment framework to enable a large set of stakeholders to conduct environmental analysis of pavements.
SimPLE learns to pick, regrasp, and place objects using the objects’ computer-aided design model.
A new algorithm helps robots practice skills like sweeping and placing objects, potentially helping them improve at important tasks in houses, hospitals, and factories.