Research
Research

Research

Alumni/ae Artificial Intelligence Brain and cognitive sciences Innovation and Entrepreneurship (I&E) machine learning Neuroscience Public health Research School of Science Startups

Accelerating scientific discovery with AI

FutureHouse, co-founded by Sam Rodriques PhD ’19, has developed AI agents to automate key steps on the path toward scientific progress.

3-D printing Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Design Electrical engineering and computer science (EECS) machine learning MIT Schwarzman College of Computing Research Robotics School of Engineering School of Science

Using generative AI to help robots jump higher and land safely

MIT CSAIL researchers combined GenAI and a physics simulation engine to refine robot designs. The result: a machine that out-jumped a robot designed by humans.

Artificial Intelligence Biological engineering Cambridge, Boston and region Collaboration Funding Health Care Health sciences and technology Innovation and Entrepreneurship (I&E) Institute for Medical Engineering and Science (IMES) Koch Institute Medicine Research School of Engineering School of Science The Engine

MIT and Mass General Brigham launch joint seed program to accelerate innovations in health

The MIT-MGB Seed Program, launched with support from Analog Devices Inc., will fund joint research projects that advance technology and clinical research.

Artificial Intelligence Computer science and technology Diagnostics Electrical engineering and computer science (EECS) health Health Care Human-computer interaction Institute for Medical Engineering and Science (IMES) Laboratory for Information and Decision Systems (LIDS) machine learning Medicine MIT Schwarzman College of Computing Research School of Engineering Technology and society

LLMs factor in unrelated information when recommending medical treatments

Researchers find nonclinical information in patient messages — like typos, extra white space, and colorful language — reduces the accuracy of an AI model.

Artificial Intelligence Collaboration Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical engineering and computer science (EECS) Faculty Funding Human-computer interaction Industry McGovern Institute Media Lab MIT Schwarzman College of Computing MIT Sloan School of Management Music and theater arts Research Robotics School of Architecture and Planning School of Engineering School of Humanities Arts and Social Sciences School of Science Special events and guest speakers Technology and society

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

Presentations targeted high-impact intersections of AI and other areas, such as health care, business, and education.

Algorithms Artificial Intelligence Civil and environmental engineering Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical engineering and computer science (EECS) Human-computer interaction IDSS Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing National Science Foundation (NSF) Research School of Engineering

Unpacking the bias of large language models

In a new study, researchers discover the root cause of a type of bias in LLMs, paving the way for more accurate and reliable AI systems.

Algorithms Artificial Intelligence Data Ethics Faculty Graduate, postdoctoral Health Care Human-computer interaction machine learning MIT Schwarzman College of Computing MIT Sloan School of Management Philosophy Political science Research School of Architecture and Planning School of Engineering School of Humanities Arts and Social Sciences School of Science Social justice social media Special events and guest speakers Students Technology and policy Technology and society Undergraduate Urban studies and planning

Bringing meaning into technology deployment

The MIT Ethics of Computing Research Symposium showcases projects at the intersection of technology, ethics, and social responsibility.

Artificial Intelligence Computer science and technology Electrical engineering and computer science (EECS) Electronics Internet Of Things Lincoln Laboratory machine learning MIT Schwarzman College of Computing Mobile devices National Science Foundation (NSF) Optics Photonics Research Research Laboratory of Electronics School of Engineering Wireless

Photonic processor could streamline 6G wireless signal processing

By performing deep learning at the speed of light, this chip could give edge devices new capabilities for real-time data analysis.

Artificial Intelligence Arts Automation computer-vision machine learning Mechanical engineering Microsystems Technology Laboratories MIT Libraries MIT.nano Research School of Engineering Visual arts

Have a damaged painting? Restore it in just hours with an AI-generated “mask”

A new method can physically restore original paintings using digitally constructed films, which can be removed if desired.

Aeronautical and astronautical engineering Algorithms Artificial Intelligence Computer science and technology Laboratory for Information and Decision Systems (LIDS) Logistics machine learning MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Natural language processing Research School of Engineering Software Technology and society

Inroads to personalized AI trip planning

A new framework from the MIT-IBM Watson AI Lab supercharges language models, so they can reason over, interactively develop, and verify valid, complex travel agendas.