Category
Data
-
-
Jesse Thaler named director of the Laboratory for Nuclear Science
-
Q&A: What is agentic AI today, and what do we want it to be?
-
3 Questions: Beyond data-driven aesthetics
-
Improving the speed and energy-efficiency of AI agents
-
NSF renews support for MIT-led AI and physics institute, expanding a new model for discovery
-
MIT researchers teach AI models to interpret charts
-
Justin Solomon appointed associate dean of engineering education
-
A faster way to estimate AI power consumption
-
MIT scientists build the world’s largest collection of Olympiad-level math problems, and open it to everyone
-
Teaching AI models to say “I’m not sure”
-
New technique makes AI models leaner and faster while they’re still learning
-
Helping data centers deliver higher performance with less hardware
-
Augmenting citizen science with computer vision for fish monitoring
-
How to create “humble” AI
-
On algorithms, life, and learning
-
Generative AI improves a wireless vision system that sees through obstructions
-
Can AI help predict which heart-failure patients will worsen within a year?
-
3 Questions: On the future of AI and the mathematical and physical sciences
-
Improving AI models’ ability to explain their predictions
-
New method could increase LLM training efficiency
-
Study: AI chatbots provide less-accurate information to vulnerable users
-
Exposing biases, moods, personalities, and abstract concepts hidden in large language models
-
3 Questions: Using AI to help Olympic skaters land a quint
-
Study: Platforms that rank the latest LLMs can be unreliable
-
Guided learning lets “untrainable” neural networks realize their potential
-
A new way to increase the capabilities of large language models
-
New method improves the reliability of statistical estimations
-
Researchers discover a shortcoming that makes LLMs less reliable
-
Charting the future of AI, from safer answers to faster thinking
-
3 Questions: How AI is helping us monitor and support vulnerable ecosystems
-
Creating AI that matters
-
Method teaches generative AI models to locate personalized objects
-
Optimizing food subsidies: Applying digital platforms to maximize nutrition
-
Using generative AI to diversify virtual training grounds for robots
-
MIT affiliates win AI for Math grants to accelerate mathematical discovery
-
How to build AI scaling laws for efficient LLM training and budget maximization
-
3 Questions: The pros and cons of synthetic data in AI
-
3 Questions: On biology and medicine’s “data revolution”
-
MIT researchers develop AI tool to improve flu vaccine strain selection
-
Simpler models can outperform deep learning at climate prediction
-
Helping data storage keep up with the AI revolution
-
New algorithms enable efficient machine learning with symmetric data
-
The unique, mathematical shortcuts language models use to predict dynamic scenarios
-
Study could lead to LLMs that are better at complex reasoning
-
Merging AI and underwater photography to reveal hidden ocean worlds
-
Unpacking the bias of large language models
-
Celebrating an academic-industry collaboration to advance vehicle technology
-
Teaching AI models what they don’t know
-
3 Questions: How to help students recognize potential bias in their AI datasets
-
An anomaly detection framework anyone can use
-
Building networks of data science talent
-
AI learns how vision and sound are connected, without human intervention
-
Learning how to predict rare kinds of failures
-
New tool evaluates progress in reinforcement learning
-
Novel AI model inspired by neural dynamics from the brain
-
New method efficiently safeguards sensitive AI training data
-
Could LLMs help design our next medicines and materials?
-
Vana is letting users own a piece of the AI models trained on their data