MIT News about AI

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• Looking beyond natural sequences

  A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.

• AI helps design new materials that work in the real world

  The “CrysVCD” tool developed at MIT could cut the huge amounts of time and money spent on screening out chemically unstable designs.

• Generating scenarios for extreme events, without extreme data

  A new algorithm learns to anticipate the unprecedented scenarios that critical infrastructure and global supply chains are least prepared for.

• Paving the way for greener ammonia production

  New MIT research could lead to better materials for a fossil-fuel-free process for making the chemical that's essential to fertilizer and other products.

• When AI art has no author: Study finds generated images often can’t be traced to training data

  A new method for surgically removing training examples from a model reveals that as datasets grow, the link between what a model learns and what it produces dissolves.

• Q&A: Rethinking how innovation happens

  In his latest book, Professor Eugene Fitzgerald examines the forces that turn breakthroughs into value — and why innovation resists simple formulas.

• With a feel for physics, AI models simulate a wider range of real-world scenarios

  “GeoPT” helps AI models understand the basics of physics so they can simulate how objects respond to things like wind and water more efficiently and accurately.

• Solving the solvent problem

  By focusing on electrolytes, MIT scientists are making sodium-metal batteries a more practical energy storage option.

• The benefits of medical AI assistance vary based on user expertise

  Study finds non-experts deferred to LLM-based diagnostic assistance, even when it was wrong, while clinicians caught AI errors.

• Alexander Rakhlin named director of the MIT Statistics and Data Science Center

  An expert in machine learning, statistics, and computation, Rakhlin succeeds Professor Ankur Moitra.

• Daniela Rus receives Bavarian Minister-President's High-Tech Prize

  Director of CSAIL and MIT professor honored for her contributions to robotics, artificial intelligence, and autonomous systems.

• Connecting research to policy on Capitol Hill

  MIT students and postdocs discussed science funding and research with policymakers in Washington during the MIT Science Policy Initiative’s annual Congressional Visit Days.

• How a medical database developed at MIT evolved into a global standard of data-sharing

  The visionary PhysioNet platform launched 25 years ago, based on a system developed at MIT in the 1970s. It has become one of the most comprehensive biomedical and clinical data repositories in existence.

• MIT projects selected for funding under US Department of Energy’s Genesis Mission

  Initial research projects advance national priorities across natural resources, manufacturing, nuclear physics, and more.

• Professor Emeritus Dimitri Bertsekas, influential computer scientist and prolific author, dies at 83

  Known for his clear and elegant writing style, Bertsekas shaped fields from control and optimization to large-scale computation and artificial intelligence.

• Following the questions where they lead

  Assistant Professor Bailey Flanigan has arrived at complex computational methods for helping democracy thrive.

• A better way to turn 2D designs into 3D models for rapid prototyping

  Researchers developed an automated framework that helps AI models generate CAD programs more accurately and efficiently.

• 3 Questions: Neural transparency and the future of AI design

  Assistant Professor Pat Pataranutaporn describes a new interface that lets everyday users glimpse inside an AI's neural network before their chatbot ever says a word.

• Helping AI models to meet the real world

  Through research and entrepreneurship, Professor Devavrat Shah is helping to design methods that can handle constant decision-making using limited computational resources.

• Can AI build a jet engine? JARVIS Challenge tests role of AI copilots in tough-tech engineering

  MIT students designed, built, and tested a jet engine with AI copilots, assessing AI’s usefulness in developing high-performance aerospace systems.

• How MIT students are helping to prevent cyberattacks

  Students from the MIT Cybersecurity Clinic help local governments and other vulnerable organizations defend against digital threats.

• AI agents create virtual playgrounds to help robots get crucial training data

  “SceneSmith” system uses collaborative AI agents to create realistic 3D environments of places like kitchens, hotels, and living rooms, where robots can simulate everyday chores.

• New method aims to keep kids safe from illegal AI-generated content

  Researchers developed an auditing technique to test generative AI models for malicious capabilities, without prompting them for illegal outputs.

• Tiny robot boats build floating structures

  MIT researchers developed FloatForm, a swarm of small aquatic robots that snap together like ants forming a raft, assembling into reconfigurable structures on the water.

• How novice coders can develop AI programs for military applications

  A USAF cadet and a Lincoln Laboratory researcher found AI chatbots can help nontechnical service members produce viable software applications for their unique problems.

• Jesse Thaler named director of the Laboratory for Nuclear Science

  The professor of physics and inaugural director of the NSF AI Institute for Artificial Intelligence and Fundamental Interactions will lead LNS and continue his research in particle physics.

• Toward a future that preserves benefits of neurotechnology for all

  PhD student Rachel Sava, winner of the Envisioning the Future of Computing Prize, explores transformative improvements and dystopian risks of neural technology.

• MIT in the media: Innovating and educating for the next 250 years of America

  During a "Washington Post Live" panel discussion with ASU President Michael Crow, President Sally Kornbluth explored how universities are preparing the next generation of scientists to lead in America’s rapidly changing technological landscape.

• Q&A: What is agentic AI today, and what do we want it to be?

  Computer scientist Phillip Isola cuts through the hype to explain how AI agents work and what the future might hold for this rapidly advancing technology.

• Inaugural Music Technology Research Showcase celebrates work of new graduate program’s initial students

  Associate Professor Anna Huang delivers the keynote address, “In Search of Human-AI Resonance,” to a capacity crowd.