Algorithms
Algorithms

Algorithms

Algorithms Artificial Intelligence Cambridge, Boston and region Campus buildings and architecture Climate Climate change Emissions Energy efficiency Environment Facilities Heat Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing Research Sustainability

AI pilot programs look to reduce energy use and emissions on MIT campus

A cross-departmental team is leading efforts to utilize machine learning for increased efficiency in heating and cooling MIT’s buildings.

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Autonomous innovations in an uncertain world

Jonathan How and his team at the Aerospace Controls Laboratory develop planning algorithms that allow autonomous vehicles to navigate dynamic environments without colliding.

Algorithms Artificial Intelligence Cities Collaboration Global Human-computer interaction International initiatives Internet Of Things machine learning MIT Schwarzman College of Computing Research Robotics School of Architecture and Planning School of Engineering Singapore-MIT Alliance for Research and Technology (SMART) Soft robotics Sustainability Technology and society Urban studies and planning

SMART launches research group to advance AI, automation, and the future of work

Mens, Manus and Machina (M3S) will design technology, training programs, and institutions for successful human-machine collaboration.

Aeronautical and astronautical engineering Algorithms Artificial Intelligence Collaboration Comparative Media Studies/Writing Computer Science and Artificial Intelligence Laboratory (CSAIL) Data Economics Electrical Engineering & Computer Science (eecs) Funding Grants Human-computer interaction Industry Laboratory for Information and Decision Systems (LIDS) machine learning Media Lab MIT Schwarzman College of Computing MIT Sloan School of Management Operations research Physics Research School of Engineering School of Humanities Arts and Social Sciences School of Science Technology and society

Artificial intelligence for augmentation and productivity

The MIT Schwarzman College of Computing awards seed grants to seven interdisciplinary projects exploring AI-augmented management.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical Engineering & Computer Science (eecs) Health Care Health sciences and technology Human-computer interaction machine learning Medicine MIT Schwarzman College of Computing Research School of Engineering Social justice Technology and society

How machine learning models can amplify inequities in medical diagnosis and treatment

MIT researchers investigate the causes of health-care disparities among underrepresented groups.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology computer-vision Defense Advanced Research Projects Agency (DARPA) Electrical Engineering & Computer Science (eecs) machine learning MIT Schwarzman College of Computing National Science Foundation (NSF) Research School of Engineering Technology and policy Technology and society

Using AI to protect against AI image manipulation

“PhotoGuard,” developed by MIT CSAIL researchers, prevents unauthorized image manipulation, safeguarding authenticity in the era of advanced generative models.

Aeronautical and astronautical engineering Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical Engineering & Computer Science (eecs) Human-computer interaction machine learning MIT Schwarzman College of Computing National Science Foundation (NSF) Research Robotics Robots School of Engineering

A faster way to teach a robot

A new technique helps a nontechnical user understand why a robot failed, and then fine-tune it with minimal effort to perform a task effectively.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical Engineering & Computer Science (eecs) machine learning MIT Schwarzman College of Computing Research Robotics School of Engineering

AI helps household robots cut planning time in half

PIGINet leverages machine learning to streamline and enhance household robots’ task and motion planning, by assessing and filtering feasible solutions in complex environments.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical Engineering & Computer Science (eecs) machine learning MIT Schwarzman College of Computing Research Robotics School of Engineering

AI helps household robots cut planning time in half

PIGINet leverages machine learning to streamline and enhance household robots’ task and motion planning, by assessing and filtering feasible solutions in complex environments.

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Study finds ChatGPT boosts worker productivity for some writing tasks

A new report by MIT researchers highlights the potential of generative AI to help workers with certain writing assignments.