Research
Research

New security protocol shields data from attackers during cloud-based computation

The technique leverages quantum properties of light to guarantee security while preserving the accuracy of a deep-learning model.

Accelerating particle size distribution estimation

MIT researchers speed up a novel AI-based estimator for medication manufacturing by 60 times.

AI model can reveal the structures of crystalline materials

By analyzing X-ray crystallography data, the model could help researchers develop new materials for many applications, including batteries and magnets.

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.

Enhancing LLM collaboration for smarter, more efficient solutions

“Co-LLM” algorithm helps a general-purpose AI model collaborate with an expert large language model by combining the best parts of both answers, leading to more factual responses.

A fast and flexible approach to help doctors annotate medical scans

“ScribblePrompt” is an interactive AI framework that can efficiently highlight anatomical structures across different medical scans, assisting medical workers to delineate regions of interest and abnormalities.

Study: Transparency is often lacking in datasets used to train large language models

Researchers developed an easy-to-use tool that enables an AI practitioner to find data that suits the purpose of their model, which could improve accuracy and reduce bias.

A framework for solving parabolic partial differential equations

A new algorithm solves complicated partial differential equations by breaking them down into simpler problems, potentially guiding computer graphics and geometry processing.


New open-source tool helps to detangle the brain

The software tool NeuroTrALE is designed to quickly and efficiently process large amounts of brain imaging data semi-automatically.

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.