Computer Science and Artificial Intelligence Laboratory (CSAIL)
Computer Science and Artificial Intelligence Laboratory (CSAIL)

Computer Science and Artificial Intelligence Laboratory (CSAIL)

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.

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.

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 Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical Engineering & Computer Science (eecs) Faculty machine learning MIT Schwarzman College of Computing School of Engineering Special events and guest speakers Staff Students

What does the future hold for generative AI?

Rodney Brooks, co-founder of iRobot, kicks off an MIT symposium on the promise and potential pitfalls of increasingly powerful AI tools like ChatGPT.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical Engineering & Computer Science (eecs) Human-computer interaction machine learning MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Research Robots

New method uses crowdsourced feedback to help train robots

Human Guided Exploration (HuGE) enables AI agents to learn quickly with some help from humans, even if the humans make mistakes.

Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Contests and academic competitions Electrical Engineering & Computer Science (eecs) Innovation and Entrepreneurship (I&E) Invention Martin Trust Center for MIT Entrepreneurship MIT Corporation MIT Schwarzman College of Computing MIT Sloan School of Management MIT-IBM Watson AI Lab School of Engineering Special events and guest speakers Startups Students Technology and society

Students pitch transformative ideas in generative AI at MIT Ignite competition

Twelve teams of students and postdocs across the MIT community presented innovative startup ideas with potential for real-world impact.

Artificial Intelligence 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 Research School of Engineering

Synthetic imagery sets new bar in AI training efficiency

MIT CSAIL researchers innovate with synthetic imagery to train AI, paving the way for more efficient and bias-reduced machine learning.

3-D printing Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) computer-vision Defense Advanced Research Projects Agency (DARPA) Electrical Engineering & Computer Science (eecs) machine learning Materials science and engineering MIT Schwarzman College of Computing National Science Foundation (NSF) Research Robots School of Engineering

This 3D printer can watch itself fabricate objects

Computer vision enables contact-free 3D printing, letting engineers print with high-performance materials they couldn’t use before.