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GIST and MIT CSAIL researchers have developed "EMSWalker," a new VR locomotion system that provides walking-related bodily sensations while the user remains seated (Credit: GIST).
CSAIL article

Researchers from the Gwangju Institute of Science and Technology (GIST), Korea, in collaboration with researchers from the Massachusetts Institute of Technology Computer Science and Artificial Intelligence Laboratory (MIT CSAIL), have developed “EMSWalker,” a new VR locomotion system that provides walking-related bodily sensations while the user remains seated.

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CSAIL article

As a child, you likely saw a few Disney movies depicting inanimate objects, such as clocks, cups, and toys, as interactive companions to humans — an act of pure magic, seemingly. But scientists at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) are now doing something similar: transforming stationary items into self-aware tools that perceive and respond to human motion to complete a task.

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The tool can be prompted to generate a 3D design for a mug, for instance, and users can then highlight specific parts of the blueprint they’d like refined before 3D printing (Credit: Alex Shipps/MIT CSAIL, using assets from the researchers and Adobe Stock).
CSAIL article

“What you see is what you get” is a guiding principle for many software engineers — create programs where the content you’re editing looks the same as the final product. But when you’re using generative AI (genAI) systems to 3D print, say, a mug, you’ll likely get a cup that can’t hold your coffee. Why is that?

 

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CSAIL article

A region of the brain called the striatum is critical for many cognitive and motor functions, including decision-making, control of movement, habit formation, and processing of reward. It also plays a role in addiction and is significantly affected by Huntington’s disease, schizophrenia, and other disorders.

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“With Dyad 3.0, you can upload data and design documents and the system will design an entire aircraft for you,” says Viral Shah (Credits: MIT News; iStock).
CSAIL article

It all started with some exasperated emails. Back in 2009, a group of researchers began venting their frustration with the programming languages designed to help scientists and other researchers perform complex mathematical operations and statistical simulations without learning how to code. These programming languages were rigid and slow. If scientists built something that really worked, they’d need to rewrite the entire program in another language just to run it more quickly.