Electrical engineering and computer science (EECS)
Electrical engineering and computer science (EECS)

Electrical engineering and computer science (EECS)

Artificial Intelligence Communications Electrical engineering and computer science (EECS) Health Care Institute for Medical Engineering and Science (IMES) Languages Lincoln Laboratory MIT Schwarzman College of Computing School of Engineering School of Humanities Arts and Social Sciences Technology and society

Changing the conversation in health care

The Language/AI Incubator, an MIT Human Insight Collaborative project, is investigating how AI can improve communications among patients and practitioners.

3-D printing Artificial Intelligence Autonomous Underwater Vehicles (AUV) Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Defense Advanced Research Projects Agency (DARPA) Design Electrical engineering and computer science (EECS) Invention machine learning Marine biology MIT Schwarzman College of Computing Research Robotics School of Engineering

AI shapes autonomous underwater “gliders”

An AI pipeline developed by CSAIL researchers enables unique hydrodynamic designs for bodyboard-sized vehicles that glide underwater and could help scientists gather marine data.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical engineering and computer science (EECS) machine learning MIT Schwarzman College of Computing MIT-IBM Watson AI Lab National Science Foundation (NSF) Research School of Engineering

Study could lead to LLMs that are better at complex reasoning

Researchers developed a way to make large language models more adaptable to challenging tasks like strategic planning or process optimization.

Algorithms Artificial Intelligence Computer science and technology computer-vision Department of Energy (DoE) Electrical engineering and computer science (EECS) machine learning Materials science and engineering Mechanical engineering National Science Foundation (NSF) Renewable energy Research Research Laboratory of Electronics Robotics School of Engineering Solar Sustainability

Robotic probe quickly measures key properties of new materials

Developed to analyze new semiconductors, the system could streamline the development of more powerful solar panels.

Alternative energy Artificial Intelligence Chemical engineering DMSE Electrical engineering and computer science (EECS) Emissions Energy Energy efficiency Faculty Laboratory for Information and Decision Systems (LIDS) Lincoln Laboratory MIT Energy Initiative Renewable energy School of Engineering Special events and guest speakers Staff Sustainability

Confronting the AI/energy conundrum

The MIT Energy Initiative’s annual research symposium explores artificial intelligence as both a problem and a solution for the clean energy transition.

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 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.

Artificial Intelligence Classes and programs Clubs and activities Collaboration Computer science and technology Electrical engineering and computer science (EECS) machine learning Mathematics Mechanical engineering MIT Schwarzman College of Computing Music and theater arts School of Engineering School of Humanities Arts and Social Sciences School of Science STEM education Student life Students Technology and society Undergraduate

A sounding board for strengthening the student experience

Composed of “computing bilinguals,” the Undergraduate Advisory Group provides vital input to help advance the mission of the MIT Schwarzman College of Computing.