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