MIT researchers developed a trajectory-planning system for autonomous vehicles that enables them to travel from a starting point to a target location even when there are many different uncertainties in the environment.

MIT and Mass General Brigham researchers and physicians connect in person to bring AI into mainstream health care.

Researchers devise an efficient protocol to keep a user’s private information secure when algorithms use it to recommend products, songs, or shows.

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Chris Rackauckas’ research is at the intersection of domain models with artificial intelligence techniques like machine learning.

Researchers create a mathematical framework to evaluate explanations of machine-learning models and quantify how well people understand them.

MIT researchers developed a machine learning technique that learns to represent data in a way that captures concepts which are shared between visual and audio modalities. Their model can identify where certain action is taking place in a video and label it.

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A new MIT study reveals that language processing programs can assign many kinds of information to a single word, just like the human brain.

Scientists have created a design and fabrication tool for soft pneumatic actuators for integrated sensing, which can power personalized health care, smart homes, and gaming.

A new neural network approach captures the characteristics of a physical system’s dynamic motion from video, regardless of rendering configuration or image differences.

PhD candidate Jonathan Zong found a lack of systems that earn and maintain public trust in large-scale online research — so he made one himself.