The technique leverages quantum properties of light to guarantee security while preserving the accuracy of a deep-learning model.

New statistical models based on physiological data from more than 100 surgeries provide objective, accurate measures of the body’s subconscious perception of pain.

MIT researchers speed up a novel AI-based estimator for medication manufacturing by 60 times.

MIT researchers find that the first dose primes the immune system, helping it to generate a strong response to the second dose, a week later.

The interlocking bricks, which can be repurposed many times over, can withstand similar pressures as their concrete counterparts.

Researchers find large language models make inconsistent decisions about whether to call the police when analyzing surveillance videos.

“Co-LLM” algorithm helps a general-purpose AI model collaborate with an expert large language model by combining the best parts of both answers, leading to more factual responses.

MIT scientists’ discovery yields a potent immune response, could be used to develop a potential tumor vaccine.

“ScribblePrompt” is an interactive AI framework that can efficiently highlight anatomical structures across different medical scans, assisting medical workers to delineate regions of interest and abnormalities.

Membranes based on natural silk and cellulose can remove many contaminants, including “forever chemicals” and heavy metals.