Browsing: MIT

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…

Imagine a radiologist examining a chest X-ray from a new patient. She notices the patient has swelling in the tissue…

What if data could help predict a patient’s prognosis, streamline hospital operations, or optimize human resources in medicine? A book…

Researchers from the Critical Analytics for Manufacturing Personalized-Medicine (CAMP) interdisciplinary research group of the Singapore-MIT Alliance for Research and Technology (SMART),…

When some commuter trains arrive at the end of the line, they must travel to a switching platform to be…

Due to the inherent ambiguity in medical images like X-rays, radiologists often use words like “may” or “likely” when describing…