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.

Adam Zewe | MIT News • mit
Sept. 19, 2024 ~8 min

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.

Alex Shipps | MIT CSAIL • mit
Sept. 16, 2024 ~8 min


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.

Alex Shipps | MIT CSAIL • mit
Sept. 9, 2024 ~8 min

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.

Adam Zewe | MIT News • mit
Aug. 30, 2024 ~8 min

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.

Alex Shipps | MIT CSAIL • mit
Aug. 28, 2024 ~7 min

Toward a code-breaking quantum computer

Building on a landmark algorithm, researchers propose a way to make a smaller and more noise-tolerant quantum factoring circuit for cryptography.

Adam Zewe | MIT News • mit
Aug. 23, 2024 ~8 min

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.

Alex Shipps | MIT CSAIL • mit
Aug. 14, 2024 ~9 min

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.

Adam Zewe | MIT News • mit
Aug. 14, 2024 ~7 min


Helping robots practice skills independently to adapt to unfamiliar environments

New algorithm helps robots practice skills like sweeping and placing objects, potentially helping them improve at important tasks in houses, hospitals, and factories.

Alex Shipps | MIT CSAIL • mit
Aug. 8, 2024 ~7 min

New transistor’s superlative properties could have broad electronics applications

Ultrathin material whose properties “already meet or exceed industry standards” enables superfast switching, extreme durability.

Elizabeth A. Thomson | Materials Research Laboratory • mit
July 26, 2024 ~7 min

/

89