Tag
#School of Engineering
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Teaching AI models to say “I’m not sure”
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Jacob Andreas and Brett McGuire named Edgerton Award winners
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Bringing AI-driven protein-design tools to biologists everywhere
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Human-machine teaming dives underwater
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New technique makes AI models leaner and faster while they’re still learning
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Sixteen new START.nano companies are developing hard-tech solutions with the support of MIT.nano
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Helping data centers deliver higher performance with less hardware
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Working to advance the nuclear renaissance
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Evaluating the ethics of autonomous systems
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Preview tool helps makers visualize 3D-printed objects
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MIT researchers use AI to uncover atomic defects in materials
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MIT engineers design proteins by their motion, not just their shape
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AI system learns to keep warehouse robot traffic running smoothly
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Augmenting citizen science with computer vision for fish monitoring
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Wristband enables wearers to control a robotic hand with their own movements
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How to create “humble” AI
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A better method for identifying overconfident large language models
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Generative AI improves a wireless vision system that sees through obstructions
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MIT-IBM Watson AI Lab seed to signal: Amplifying early-career faculty impact
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Can AI help predict which heart-failure patients will worsen within a year?
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A better method for planning complex visual tasks
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Improving AI models’ ability to explain their predictions
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A “ChatGPT for spreadsheets” helps solve difficult engineering challenges faster
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New method could increase LLM training efficiency
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Mixing generative AI with physics to create personal items that work in the real world
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AI to help researchers see the bigger picture in cell biology
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Parking-aware navigation system could prevent frustration and emissions
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Personalization features can make LLMs more agreeable
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Accelerating science with AI and simulations
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Using synthetic biology and AI to address global antimicrobial resistance threat
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AI algorithm enables tracking of vital white matter pathways
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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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Helping AI agents search to get the best results out of large language models
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Antonio Torralba, three MIT alumni named 2025 ACM fellows
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3 Questions: Using AI to accelerate the discovery and design of therapeutic drugs
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Katie Spivakovsky wins 2026 Churchill Scholarship
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SMART launches new Wearable Imaging for Transforming Elderly Care research group
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SMART launches new Wearable Imaging for Transforming Elderly Care research group
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How generative AI can help scientists synthesize complex materials
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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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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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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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New control system teaches soft robots the art of staying safe
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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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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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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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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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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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New tool makes generative AI models more likely to create breakthrough materials