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.
3 Questions: How to prove humanity online
AI agents could soon become indistinguishable from humans online. Could “personhood credentials” protect people against digital imposters?
Christine Ortiz named director of MIT Technology and Policy Program
Ortiz is an internationally recognized researcher in biotechnology and biomaterials, advanced and additive manufacturing, and sustainable and socially-directed materials design.
LLMs develop their own understanding of reality as their language abilities improve
In controlled experiments, MIT CSAIL researchers discover simulations of reality developing deep within LLMs, indicating an understanding of language beyond simple mimicry.
Building bidirectional bridges
MIT’s Office of Graduate Education hosts Summit on Creating Inclusive Pathways to the PhD
MIT researchers use large language models to flag problems in complex systems
The approach can detect anomalies in data recorded over time, without the need for any training.
A new model offers robots precise pick-and-place solutions
SimPLE learns to pick, regrasp, and place objects using the objects’ computer-aided design model.
3 Questions: Preparing students in MIT’s Naval ROTC program
“MIT graduates are top performers in the fleet, and the rigorous four-year program they complete prepares them to be ready to respond to future technical and leadership challenges,” says Commander Jennifer Huck.
Helping robots practice skills independently to adapt to unfamiliar environments
A new algorithm helps robots practice skills like sweeping and placing objects, potentially helping them improve at important tasks in houses, hospitals, and factories.
Testing spooky action at a distance
A quantum computing research collaboration connects MIT with the University of Copenhagen.
Precision home robots learn with real-to-sim-to-real
CSAIL researchers introduce a novel approach allowing robots to be trained in simulations of scanned home environments, paving the way for customized household automation accessible to anyone.
Method prevents an AI model from being overconfident about wrong answers
More efficient than other approaches, the “Thermometer” technique could help someone know when they should trust a large language model.
Mission directors announced for the Climate Project at MIT
The effort to accelerate climate work at the Institute adds to its leadership team.
Study across multiple brain regions discerns Alzheimer’s vulnerability and resilience factors
Genomics and lab studies reveal numerous findings, including a key role for Reelin amid neuronal vulnerability, and for choline and antioxidants in sustaining cognition.
Study: When allocating scarce resources with AI, randomization can improve fairness
Introducing structured randomization into decisions based on machine-learning model predictions can address inherent uncertainties while maintaining efficiency.