IDSS
IDSS

Puzzling out climate change

Accenture Fellow Shreyaa Raghavan applies machine learning and optimization methods to explore ways to reduce transportation sector emissions.

Validation technique could help scientists make more accurate forecasts

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.

MIT affiliates named 2024 Schmidt Futures AI2050 Fellows

Five MIT faculty members and two additional alumni are honored with fellowships to advance research on beneficial AI.

MIT delegation mainstreams biodiversity conservation at the UN Biodiversity Convention, COP16

First organized MIT delegation highlights the Institute’s growing commitment to addressing climate change by showcasing research on biodiversity conservation, AI, and the role of local communities.

MIT researchers develop an efficient way to train more reliable AI agents

The technique could make AI systems better at complex tasks that involve variability.

A causal theory for studying the cause-and-effect relationships of genes

By sidestepping the need for costly interventions, a new method could potentially reveal gene regulatory programs, paving the way for targeted treatments.

Empowering systemic racism research at MIT and beyond

Researchers in the MIT Initiative on Combatting Systemic Racism are building an open data repository to advance research on racial inequity in domains like policing, housing, and health care.

Study: AI could lead to inconsistent outcomes in home surveillance

Researchers find large language models make inconsistent decisions about whether to call the police when analyzing surveillance videos.

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.