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Category

Computer science and technology

  • Understanding the nuances of human-like intelligence

    16 Nov
  • Charting the future of AI, from safer answers to faster thinking

    16 Nov
  • MIT researchers propose a new model for legible, modular software

    16 Nov
  • Teaching robots to map large environments

    16 Nov
  • 3 Questions: How AI is helping us monitor and support vulnerable ecosystems

    16 Nov
  • A faster problem-solving tool that guarantees feasibility

    16 Nov
  • The brain power behind sustainable AI

    16 Nov
  • Creating AI that matters

    16 Nov
  • New software designs eco-friendly clothing that can reassemble into new items

    16 Nov
  • Method teaches generative AI models to locate personalized objects

    16 Nov
  • MIT Schwarzman College of Computing and MBZUAI launch international collaboration to shape the future of AI

    16 Nov
  • Using generative AI to diversify virtual training grounds for robots

    16 Nov
  • Fighting for the health of the planet with AI

    16 Nov
  • AI maps how a new antibiotic targets gut bacteria

    16 Nov
  • Responding to the climate impact of generative AI

    16 Nov
  • New AI system could accelerate clinical research

    16 Nov
  • MIT affiliates win AI for Math grants to accelerate mathematical discovery

    16 Nov
  • What does the future hold for generative AI?

    16 Nov
  • How to build AI scaling laws for efficient LLM training and budget maximization

    16 Nov
  • Machine-learning tool gives doctors a more detailed 3D picture of fetal health

    16 Nov
  • DoE selects MIT to establish a Center for the Exascale Simulation of Coupled High-Enthalpy Fluid–Solid Interactions

    16 Nov
  • A greener way to 3D print stronger stuff

    16 Nov
  • A new generative AI approach to predicting chemical reactions

    16 Nov
  • 3 Questions: The pros and cons of synthetic data in AI

    16 Nov
  • MIT researchers develop AI tool to improve flu vaccine strain selection

    16 Nov
  • A new model predicts how molecules will dissolve in different solvents

    16 Nov
  • Eco-driving measures could significantly reduce vehicle emissions

    16 Nov
  • Helping data storage keep up with the AI revolution

    16 Nov
  • MIT tool visualizes and edits “physically impossible” objects

    16 Nov
  • New algorithms enable efficient machine learning with symmetric data

    16 Nov
  • Robot, know thyself: New vision-based system teaches machines to understand their bodies

    16 Nov
  • A new way to edit or generate images

    16 Nov
  • The unique, mathematical shortcuts language models use to predict dynamic scenarios

    16 Nov
  • This “smart coach” helps LLMs switch between text and code

    16 Nov
  • Can AI really code? Study maps the roadblocks to autonomous software engineering

    16 Nov
  • How to more efficiently study complex treatment interactions

    16 Nov
  • AI shapes autonomous underwater “gliders”

    16 Nov
  • Study could lead to LLMs that are better at complex reasoning

    16 Nov
  • Robotic probe quickly measures key properties of new materials

    16 Nov
  • Using generative AI to help robots jump higher and land safely

    16 Nov
  • LLMs factor in unrelated information when recommending medical treatments

    16 Nov
  • Researchers present bold ideas for AI at MIT Generative AI Impact Consortium kickoff event

    16 Nov
  • Unpacking the bias of large language models

    16 Nov
  • A sounding board for strengthening the student experience

    16 Nov
  • Photonic processor could streamline 6G wireless signal processing

    16 Nov
  • Inroads to personalized AI trip planning

    16 Nov
  • Melding data, systems, and society

    16 Nov
  • How we really judge AI

    16 Nov
  • AI-enabled control system helps autonomous drones stay on target in uncertain environments

    16 Nov
  • Envisioning a future where health care tech leaves some behind

    16 Nov
  • Helping machines understand visual content with AI

    16 Nov
  • Teaching AI models what they don’t know

    16 Nov
  • Teaching AI models the broad strokes to sketch more like humans do

    16 Nov
  • An anomaly detection framework anyone can use

    16 Nov
  • AI learns how vision and sound are connected, without human intervention

    16 Nov
  • Learning how to predict rare kinds of failures

    16 Nov
  • The sweet taste of a new idea

    16 Nov
  • With AI, researchers predict the location of virtually any protein within a human cell

    16 Nov
  • Study shows vision-language models can’t handle queries with negation words

    16 Nov
  • Hybrid AI model crafts smooth, high-quality videos in seconds

    16 Nov
  • New tool evaluates progress in reinforcement learning

    16 Nov
  • Novel AI model inspired by neural dynamics from the brain

    16 Nov
  • Making AI models more trustworthy for high-stakes settings

    16 Nov
  • Merging design and computer science in creative ways

    16 Nov
  • New model predicts a chemical reaction’s point of no return

    16 Nov
  • “Periodic table of machine learning” could fuel AI discovery

    16 Nov
  • 3D modeling you can feel

    16 Nov
  • Making AI-generated code more accurate in any language

    16 Nov
  • A faster way to solve complex planning problems

    16 Nov
  • Training LLMs to self-detoxify their language

    16 Nov
  • New method efficiently safeguards sensitive AI training data

    16 Nov
  • Could LLMs help design our next medicines and materials?

    16 Nov
  • New method assesses and improves the reliability of radiologists’ diagnostic reports

    16 Nov
  • Vana is letting users own a piece of the AI models trained on their data

    16 Nov
  • Researchers teach LLMs to solve complex planning challenges

    16 Nov
  • For this computer scientist, MIT Open Learning was the start of a life-changing journey

    16 Nov
  • AI tool generates high-quality images faster than state-of-the-art approaches

    16 Nov
  • At the core of problem-solving

    16 Nov
  • “An AI future that honors dignity for everyone”

    16 Nov
  • Robotic helper making mistakes? Just nudge it in the right direction

    16 Nov
  • AI system predicts protein fragments that can bind to or inhibit a target

    16 Nov
  • Like human brains, large language models reason about diverse data in a general way

    16 Nov
  • AI model deciphers the code in proteins that tells them where to go

    16 Nov
  • Gift from Sebastian Man ’79, SM ’80 supports MIT Stephen A. Schwarzman College of Computing building

    16 Nov
  • Bridging philosophy and AI to explore computing ethics

    16 Nov
  • Puzzling out climate change

    16 Nov
  • Can deep learning transform heart failure prevention?

    16 Nov

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