Computer science and technology
Computer science and technology

Computer science and technology

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.

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.

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 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.

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.

Artificial Intelligence Books and authors Collaboration Computer science and technology Covid-19 Data Education, teaching, academics Electrical engineering and computer science (EECS) Ethics Faculty IDSS Laboratory for Information and Decision Systems (LIDS) Leadership machine learning MIT Schwarzman College of Computing Pandemic School of Engineering Statistics Technology and policy Technology and society

Melding data, systems, and society

A new book from Professor Munther Dahleh details the creation of a unique kind of transdisciplinary center, uniting many specialties through a common need for data science.

Artificial Intelligence Behavior Computer science and technology MIT Sloan School of Management Research Technology and society

How we really judge AI

Forget optimists vs. Luddites. Most people evaluate AI based on its perceived capability and their need for personalization.

Aeronautical and astronautical engineering Algorithms Artificial Intelligence Autonomous vehicles Computer science and technology Drones Electrical engineering and computer science (EECS) IDSS Laboratory for Information and Decision Systems (LIDS) machine learning Mechanical engineering MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Research Robotics School of Engineering

AI-enabled control system helps autonomous drones stay on target in uncertain environments

The system automatically learns to adapt to unknown disturbances such as gusting winds.

Artificial Intelligence Awards, honors and fellowships Brain and cognitive sciences Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Contests and academic competitions EAPS Electrical engineering and computer science (EECS) Ethics Health Care Human-computer interaction IDSS Inequality Microbiome MIT Schwarzman College of Computing School of Architecture and Planning School of Engineering School of Humanities Arts and Social Sciences School of Science Students Technology and policy Technology and society Urban studies and planning Woods Hole Writing

Envisioning a future where health care tech leaves some behind

The winning essay of the Envisioning the Future of Computing Prize puts health care disparities at the forefront.

Alumni/ae Artificial Intelligence Computer science and technology computer-vision Electrical engineering and computer science (EECS) Innovation and Entrepreneurship (I&E) machine learning OpenCourseWare School of Engineering Startups

Helping machines understand visual content with AI

Coactive, founded by two MIT alumni, has built an AI-powered platform to unlock new insights from content of all types.