MIT Schwarzman College of Computing welcomes 11 new faculty for 2025
The faculty members occupy core computing and shared positions, bringing varied backgrounds and expertise to the MIT community.
This new approach could lead to enhanced AI models for drug and materials discovery.
A new approach for testing multiple treatment combinations at once could help scientists develop drugs for cancer or genetic disorders.
Unpacking the bias of large language models
In a new study, researchers discover the root cause of a type of bias in LLMs, paving the way for more accurate and reliable AI systems.
Melding data, systems, and society
A new book from Professor Munther Dahleh details the creation of a unique kind of transdisciplinary center, uniting many specialties through a common need for data science.
A new method for detecting gene-expression patterns linked to lineage progression, providing a powerful tool for studying cell state memory across biological systems.
MIT researchers developed a new approach for assessing predictions with a spatial dimension, like forecasting weather or mapping air pollution.
Toward video generative models of the molecular world
Starting with a single frame in a simulation, a new system uses generative AI to emulate the dynamics of molecules, connecting static molecular structures and developing blurry pictures into videos.
Beery, Farina, Ghassemi, Kim named AI2050 Early Career Fellows
The new crop of AI2050 Early Career Fellows was announced Dec. 10th.
The technique could make AI systems better at complex tasks that involve variability.