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.

By analyzing X-ray crystallography data, the model could help researchers develop new materials for many applications, including batteries and magnets.

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

Some materials react and generate potentially helpful particles when exposed to light. Analytical AI can help scientists sort through materials to find ones with this property.

“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.

Researchers have developed a wearable ‘smart choker’ that uses a combination of flexible electronics and artificial intelligence techniques to allow people

“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.

In animal models, even low stimulation currents can sometimes still cause electrographic seizures, researchers found.