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

Computer Science and Artificial Intelligence Laboratory (CSAIL)

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How to help high schoolers prepare for the rise of artificial intelligence

A one-week summer program aims to foster a deeper understanding of machine-learning approaches in health among curious young minds.

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AI helps robots manipulate objects with their whole bodies

With a new technique, a robot can reason efficiently about moving objects using more than just its fingertips.

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Artificial intelligence for augmentation and productivity

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

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

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

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MIT researchers combine deep learning and physics to fix motion-corrupted MRI scans

The challenge involves than just a blurry JPEG. Fixing motion artifacts in medical imaging requires a more sophisticated approach.

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AI model can help determine where a patient’s cancer arose

Predictions from the OncoNPC model could enable doctors to choose targeted treatments for difficult-to-treat tumors.

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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.

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Armando Solar-Lezama named inaugural Distinguished College of Computing Professor

EECS professor appointed to new professorship in the MIT Schwarzman College of Computing.

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.