Tag
#Algorithms
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Exposing biases, moods, personalities, and abstract concepts hidden in large language models
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Parking-aware navigation system could prevent frustration and emissions
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AI algorithm enables tracking of vital white matter pathways
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Helping AI agents search to get the best results out of large language models
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3 Questions: How AI could optimize the power grid
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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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Working to eliminate barriers to adopting nuclear energy
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Enabling small language models to solve complex reasoning tasks
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A smarter way for large language models to think about hard problems
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Charting the future of AI, from safer answers to faster thinking
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Teaching robots to map large environments
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3 Questions: How AI is helping us monitor and support vulnerable ecosystems
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A faster problem-solving tool that guarantees feasibility
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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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Helping scientists run complex data analyses without writing code
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Fighting for the health of the planet with AI
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AI maps how a new antibiotic targets gut bacteria
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Responding to the climate impact of generative AI
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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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Machine-learning tool gives doctors a more detailed 3D picture of fetal health
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A new generative AI approach to predicting chemical reactions
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3 Questions: The pros and cons of synthetic data in AI
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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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A new way to test how well AI systems classify text
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Eco-driving measures could significantly reduce vehicle emissions
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Helping data storage keep up with the AI revolution
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MIT tool visualizes and edits “physically impossible” objects
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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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This “smart coach” helps LLMs switch between text and code
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Can AI really code? Study maps the roadblocks to autonomous software engineering
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How to more efficiently study complex treatment interactions
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Study could lead to LLMs that are better at complex reasoning
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Robotic probe quickly measures key properties of new materials
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Unpacking the bias of large language models
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Inroads to personalized AI trip planning
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AI-enabled control system helps autonomous drones stay on target in uncertain environments
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Teaching AI models what they don’t know
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Teaching AI models the broad strokes to sketch more like humans do
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An anomaly detection framework anyone can use
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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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Designing a new way to optimize complex coordinated systems
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“Periodic table of machine learning” could fuel AI discovery
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Making AI-generated code more accurate in any language
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A faster way to solve complex planning problems
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Training LLMs to self-detoxify their language
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New method efficiently safeguards sensitive AI training data
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Researchers teach LLMs to solve complex planning challenges
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Robotic helper making mistakes? Just nudge it in the right direction
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Like human brains, large language models reason about diverse data in a general way
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MIT spinout maps the body’s metabolites to uncover the hidden drivers of disease
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AI model deciphers the code in proteins that tells them where to go
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Puzzling out climate change