Researchers at MIT and the University of Washington have developed a model that anticipates human errors by considering our decision-making constraints, aiming to improve AI's predictive abilities regarding human behavior.

Study shows exercise reduces heart disease risk by lowering brain stress, particularly beneficial for those with depression.

MIT researchers introduce "meronymity," an online interaction method that balances anonymity with credibility by letting users share select professional attributes. This concept aims to foster open discussions without full disclosure of identity.

Boston Dynamics is moving into the commercial sector with an electric version of their Atlas robot, designed for manufacturing tasks that exceed human capabilities.

MIT and the Singapore-MIT Alliance have developed sensors to detect plant stress, using hydrogen peroxide and salicylic acid as indicators, offering farmers an early warning system for crop protection.

MIT's Mark Harnett investigates the electrical activity in cortical cells to understand brain functions and human learning. His lab also found human neurons have fewer ion channels, suggesting evolutionary efficiency.

Immunai, a biotech startup, is developing a map of the immune system to improve drug development, drawing on a vast immune cell database and predictive models to enhance treatment efficacy and safety.

MIT has created Tyche, an AI that provides multiple interpretations for medical images to account for uncertainties, aiding clinicians in diagnostics.

Harvard University will resume requiring standardized test scores for admissions, joining other institutions like Brown and M.I.T. in reverting to traditional criteria post-pandemic.

MIT researchers, inspired by "Tetris," develop a new radiation detector with a 4-pixel array, enhancing cost, safety, and accuracy in radiation source location.

Dana-Farber Cancer Institute retracts a seventh study due to alleged image manipulation, in an ongoing issue involving multiple research paper irregularities.

MIT researchers have developed a machine-learning model to efficiently predict and prevent toxic responses in AI chatbots, using a 'red-team' AI for better testing.

MIT engineers have developed flexible "skeletons" for muscle-powered robots, enhancing their movement and control, potentially transforming future robotics applications.