Browsing: MIT

Any motorist who has ever waited through multiple cycles for a traffic light to turn green knows how annoying signalized…

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same…

In an office at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), a soft robotic hand carefully curls its fingers…

Large language models (LLMs) excel at using textual reasoning to understand the context of a document and provide a logical…

For all their impressive capabilities, large language models (LLMs) often fall short when given challenging new tasks that require complex…

Diffusion models like OpenAI’s DALL-E are becoming increasingly useful in helping brainstorm new designs. Humans can prompt these systems to…

Launched in February of this year, the MIT Generative AI Impact Consortium (MGAIC), a presidential initiative led by MIT’s Office…

In 15 TED Talk-style presentations, MIT faculty recently discussed their pioneering research that incorporates social, ethical, and technical considerations and…

Artificial intelligence systems like ChatGPT provide plausible-sounding answers to any question you might ask. But they don’t always reveal the…

Humans naturally learn by making connections between sight and sound. For instance, we can watch someone playing the cello and…