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.
Ortiz is an internationally recognized researcher in biotechnology and biomaterials, advanced and additive manufacturing, and sustainable and socially-directed materials design.
In controlled experiments, MIT CSAIL researchers discover simulations of reality developing deep within LLMs, indicating an understanding of language beyond simple mimicry.
MIT’s Office of Graduate Education hosts Summit on Creating Inclusive Pathways to the PhD
The approach can detect anomalies in data recorded over time, without the need for any training.
SimPLE learns to pick, regrasp, and place objects using the objects’ computer-aided design model.
“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.
A new algorithm helps robots practice skills like sweeping and placing objects, potentially helping them improve at important tasks in houses, hospitals, and factories.
A quantum computing research collaboration connects MIT with the University of Copenhagen.
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.
More efficient than other approaches, the “Thermometer” technique could help someone know when they should trust a large language model.
The effort to accelerate climate work at the Institute adds to its leadership team.
Genomics and lab studies reveal numerous findings, including a key role for Reelin amid neuronal vulnerability, and for choline and antioxidants in sustaining cognition.
Introducing structured randomization into decisions based on machine-learning model predictions can address inherent uncertainties while maintaining efficiency.
MAIA is a multimodal agent that can iteratively design experiments to better understand various components of AI systems.
A new study shows someone’s beliefs about an LLM play a significant role in the model’s performance and are important for how it is deployed.