Computer science and technology
Computer science and technology

Computer science and technology

Administration Alumni/ae Artificial Intelligence Cambridge, Boston and region Climate change Community Computer science and technology Diversity and inclusion Education, teaching, academics Faculty Global Government Health sciences and technology Innovation and Entrepreneurship (I&E) MIT Schwarzman College of Computing MIT Sloan School of Management Policy President Sally Kornbluth Research School of Architecture and Planning School of Engineering School of Humanities Arts and Social Sciences School of Science Social justice Space, astronomy and planetary science Staff Students

MIT in the media: 2023 in review

MIT community members made headlines with key research advances and their efforts to tackle pressing challenges.

Algorithms Artificial Intelligence Arts Augmented and virtual reality Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology computer-vision Electrical Engineering & Computer Science (eecs) Mathematics MIT Schwarzman College of Computing MIT-IBM Watson AI Lab National Science Foundation (NSF) Research

A flexible solution to help artists improve animation

This new method draws on 200-year-old geometric foundations to give artists control over the appearance of animated characters.

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 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.

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

AI accelerates problem-solving in complex scenarios

A new, data-driven approach could lead to better solutions for tricky optimization problems like global package routing or power grid operation.