Tag
#Artificial Intelligence
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Why it’s critical to move beyond overly aggregated machine-learning metrics
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At MIT, a continued commitment to understanding intelligence
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Generative AI tool helps 3D print personal items that sustain daily use
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3 Questions: How AI could optimize the power grid
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Decoding the Arctic to predict winter weather
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MIT scientists investigate memorization risk in the age of clinical AI
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Using design to interpret the past and envision the future
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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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A “scientific sandbox” lets researchers explore the evolution of vision systems
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“Robot, make me a chair”
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3 Questions: Using computation to study the world’s best single-celled chemists
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Working to eliminate barriers to adopting nuclear energy
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Deep-learning model predicts how fruit flies form, cell by cell
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Enabling small language models to solve complex reasoning tasks
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New MIT program to train military leaders for the AI age
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New method improves the reliability of statistical estimations
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New materials could boost the energy efficiency of microelectronics
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MIT researchers “speak objects into existence” using AI and robotics
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Robots that spare warehouse workers the heavy lifting
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A smarter way for large language models to think about hard problems
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MIT engineers design an aerial microrobot that can fly as fast as a bumblebee
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Helping power-system planners prepare for an unknown future
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New control system teaches soft robots the art of staying safe
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Driving American battery innovation forward
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Exploring how AI will shape the future of work
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Researchers discover a shortcoming that makes LLMs less reliable
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MIT scientists debut a generative AI model that could create molecules addressing hard-to-treat diseases
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How artificial intelligence can help achieve a clean energy future
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The cost of thinking
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New AI agent learns to use CAD to create 3D objects from sketches
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MIT Energy Initiative conference spotlights research priorities amidst a changing energy landscape
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MIT Energy Initiative conference spotlights research priorities amidst a changing energy landscape
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Understanding the nuances of human-like intelligence
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MIT Energy Initiative launches Data Center Power Forum
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Charting the future of AI, from safer answers to faster thinking
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MIT researchers propose a new model for legible, modular software
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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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The brain power behind sustainable AI
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Five with MIT ties elected to National Academy of Medicine for 2025
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Creating AI that matters
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New software designs eco-friendly clothing that can reassemble into new items
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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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Checking the quality of materials just got easier with a new AI tool
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Helping scientists run complex data analyses without writing code
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MIT Schwarzman College of Computing and MBZUAI launch international collaboration to shape the future of AI
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Using generative AI to diversify virtual training grounds for robots
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Fighting for the health of the planet with AI
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Printable aluminum alloy sets strength records, may enable lighter aircraft parts
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New prediction model could improve the reliability of fusion power plants
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AI maps how a new antibiotic targets gut bacteria
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Martin Trust Center for MIT Entrepreneurship welcomes Ana Bakshi as new executive director
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Lincoln Lab unveils the most powerful AI supercomputer at any US university
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Responding to the climate impact of generative AI
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AI system learns from many types of scientific information and runs experiments to discover new materials
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New AI system could accelerate clinical research
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MIT affiliates win AI for Math grants to accelerate mathematical discovery
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New tool makes generative AI models more likely to create breakthrough materials
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How are MIT entrepreneurs using AI?
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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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DoE selects MIT to establish a Center for the Exascale Simulation of Coupled High-Enthalpy Fluid–Solid Interactions
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AI and machine learning for engineering design
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A greener way to 3D print stronger stuff
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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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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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New technologies tackle brain health assessment for the military
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A new model predicts how molecules will dissolve in different solvents
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Researchers glimpse the inner workings of protein language models
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How AI could speed the development of RNA vaccines and other RNA therapies
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Using generative AI, researchers design compounds that can kill drug-resistant bacteria
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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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Robot, know thyself: New vision-based system teaches machines to understand their bodies
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New machine-learning application to help researchers predict chemical properties
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School of Architecture and Planning recognizes faculty with academic promotions in 2025