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.

MIT researchers can now estimate how much information data are likely to contain, in a more accurate and scalable way than previous methods.

MIT researchers have developed a system that enables a robot to learn a new pick-and-place task based on only a handful of human examples. This could allow a human to reprogram a robot to grasp never-before-seen objects, presented in random poses, in about 15 minutes.