Tag
#School of Engineering
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Study shows vision-language models can’t handle queries with negation words
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Hybrid AI model crafts smooth, high-quality videos in seconds
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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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Making AI models more trustworthy for high-stakes settings
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The MIT-Portugal Program enters Phase 4
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Merging design and computer science in creative ways
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Novel method detects microbial contamination in cell cultures
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Designing a new way to optimize complex coordinated systems
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New model predicts a chemical reaction’s point of no return
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“Periodic table of machine learning” could fuel AI discovery
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3D modeling you can feel
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Norma Kamali is transforming the future of fashion with AI
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MIT’s McGovern Institute is shaping brain science and improving human lives on a global scale
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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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Could LLMs help design our next medicines and materials?
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New method assesses and improves the reliability of radiologists’ diagnostic reports
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Researchers teach LLMs to solve complex planning challenges
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For this computer scientist, MIT Open Learning was the start of a life-changing journey
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MIT Maritime Consortium sets sail
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AI tool generates high-quality images faster than state-of-the-art approaches
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At the core of problem-solving
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Making airfield assessments automatic, remote, and safe
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Robotic helper making mistakes? Just nudge it in the right direction
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3 Questions: Visualizing research in the age of AI
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Markus Buehler receives 2025 Washington Award
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Collaborating to advance research and innovation on essential chips for AI
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AI system predicts protein fragments that can bind to or inhibit a target
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MIT spinout maps the body’s metabolites to uncover the hidden drivers of disease
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Like human brains, large language models reason about diverse data in a general way
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AI model deciphers the code in proteins that tells them where to go
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Gift from Sebastian Man ’79, SM ’80 supports MIT Stephen A. Schwarzman College of Computing building
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Puzzling out climate change
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Can deep learning transform heart failure prevention?
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Creating a common language
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Validation technique could help scientists make more accurate forecasts
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Streamlining data collection for improved salmon population management
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3 Questions: Modeling adversarial intelligence to exploit AI’s security vulnerabilities
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MIT students’ works redefine human-AI collaboration
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Expanding robot perception
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Toward video generative models of the molecular world
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The multifaceted challenge of powering AI
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Explained: Generative AI’s environmental impact
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New computational chemistry techniques accelerate the prediction of molecules and materials
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Teaching AI to communicate sounds like humans do
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A new computational model can predict antibody structures more accurately
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Unlocking the hidden power of boiling — for energy, space, and beyond
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Ecologists find computer vision models’ blind spots in retrieving wildlife images
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Startup’s autonomous drones precisely track warehouse inventories
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Need a research hypothesis? Ask AI.
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MIT engineers grow “high-rise” 3D chips
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When MIT’s interdisciplinary NEET program is a perfect fit
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MIT researchers introduce Boltz-1, a fully open-source model for predicting biomolecular structures
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Lara Ozkan named 2025 Marshall Scholar
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Teaching a robot its limits, to complete open-ended tasks safely
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AI in health should be regulated, but don’t forget about the algorithms, researchers say
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Researchers reduce bias in AI models while preserving or improving accuracy
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Enabling AI to explain its predictions in plain language
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Daniela Rus wins John Scott Award
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Citation tool offers a new approach to trustworthy AI-generated content
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Want to design the car of the future? Here are 8,000 designs to get you started.
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MIT delegation mainstreams biodiversity conservation at the UN Biodiversity Convention, COP16
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A new way to create realistic 3D shapes using generative AI
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Photonic processor could enable ultrafast AI computations with extreme energy efficiency
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Improving health, one machine learning system at a time
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New AI tool generates realistic satellite images of future flooding
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MIT researchers develop an efficient way to train more reliable AI agents
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Advancing urban tree monitoring with AI-powered digital twins
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Can robots learn from machine dreams?
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Ensuring a durable transition
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Graph-based AI model maps the future of innovation
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3 Questions: Inverting the problem of design
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A causal theory for studying the cause-and-effect relationships of genes
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A portable light system that can digitize everyday objects
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Nanoscale transistors could enable more efficient electronics
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A faster, better way to train general-purpose robots
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Making it easier to verify an AI model’s responses
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Combining next-token prediction and video diffusion in computer vision and robotics
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Artificial intelligence meets “blisk” in new DARPA-funded collaboration
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How AI is improving simulations with smarter sampling techniques
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AI pareidolia: Can machines spot faces in inanimate objects?
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Helping robots zero in on the objects that matter
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New security protocol shields data from attackers during cloud-based computation