School of Engineering
School of Engineering

School of Engineering

Artificial Intelligence Center for Brains Minds and Machines Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology computer-vision Data Electrical Engineering & Computer Science (eecs) image processing machine learning MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Research School of Engineering

Image recognition accuracy: An unseen challenge confounding today’s AI

“Minimum viewing time” benchmark gauges image recognition complexity for AI systems by measuring the time needed for accurate human identification.

Artificial Intelligence Chemical engineering chemistry machine learning National Science Foundation (NSF) Research School of Engineering School of Science

Computational model captures the elusive transition states of chemical reactions

Using generative AI, MIT chemists created a model that can predict the structures formed when a chemical reaction reaches its point of no return.

Artificial Intelligence Awards, honors and fellowships Computer science and technology Data Deshpande Center Electrical Engineering & Computer Science (eecs) Graduate, postdoctoral Harvard-MIT Health Sciences and Technology Innovation and Entrepreneurship (I&E) machine learning School of Engineering Students

Three MIT students selected as inaugural MIT-Pillar AI Collective Fellows

The graduate students will aim to commercialize innovations in AI, machine learning, and data science.

Artificial Intelligence Biological engineering Computer science and technology Electronics machine learning Mechanical engineering MIT Schwarzman College of Computing National Institutes of Health (NIH) Research School of Engineering

Closing the design-to-manufacturing gap for optical devices

A new method enables optical devices that more closely match their design specifications, boosting accuracy and efficiency.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology computer-vision Electrical Engineering & Computer Science (eecs) Faculty machine learning MIT Schwarzman College of Computing Profile School of Engineering

A computer scientist pushes the boundaries of geometry

Justin Solomon applies modern geometric techniques to solve problems in computer vision, machine learning, statistics, and beyond.

Algorithms Artificial Intelligence Biology Civil and environmental engineering Comparative Media Studies/Writing Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology DMSE EAPS Education, teaching, academics Electrical Engineering & Computer Science (eecs) Ethics Faculty health Laboratory for Information and Decision Systems (LIDS) machine learning Media Lab MIT Morningside Academy for Design MIT Schwarzman College of Computing MIT Sloan School of Management Robotics School of Architecture and Planning School of Engineering School of Humanities Arts and Social Sciences School of Science Special events and guest speakers Staff Students Technology and society

MIT Generative AI Week fosters dialogue across disciplines

During the last week of November, MIT hosted symposia and events aimed at examining the implications and possibilities of generative AI.

Artificial Intelligence Computer science and technology Electrical Engineering & Computer Science (eecs) Government machine learning MIT Schwarzman College of Computing Policy School of Engineering Technology and society

MIT group releases white papers on governance of AI

The series aims to help policymakers create better oversight of AI in society.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical Engineering & Computer Science (eecs) Health Care Human-computer interaction IDSS Institute for Medical Engineering and Science (IMES) machine learning MIT Schwarzman College of Computing Research School of Engineering

Automated system teaches users when to collaborate with an AI assistant

MIT researchers develop a customized onboarding process that helps a human learn when a model’s advice is trustworthy.

Artificial Intelligence chemistry Department of Defense (DoD) DMSE machine learning Materials science and engineering National Science Foundation (NSF) Research School of Engineering

MIT engineers develop a way to determine how the surfaces of materials behave

Using machine learning, the computational method can provide details of how materials work as catalysts, semiconductors, or battery components.

Administration Artificial Intelligence Center for International Studies Collaboration Community cybersecurity Department of Defense (DoD) Department of Political Science Leadership Lincoln Laboratory machine learning School of Engineering School of Humanities Arts and Social Sciences Security studies and military Staff

Eric Evans to step down as director of MIT Lincoln Laboratory

During 18 years of leadership, Evans established new R&D mission areas, strengthened ties to the MIT community, and increased inclusion and education efforts.