MIT researchers, led by Richard Young, found that protein mobility slows in various chronic illnesses, unveiling proteolethargy—a potential new therapeutic target.

MIT researchers have developed EXPLINGO, a system to translate AI model explanations into user-friendly language, improving trustworthiness evaluation for non-experts.

MIT's CSAIL developed ContextCite, a tool to improve the credibility of AI content by linking statements to sources, designed to prevent misinformation spread.

A study by MIT researchers shows that careful regional planning using detailed weather and energy data can improve the efficiency and economics of renewable energy projects.

MIT researchers found that negative online content can worsen mental health in a study that suggests a feedback loop of poor mood and negative content consumption.

MIT scientists developed a photonic processor for AI that performs computations with light, boasting low latency and high accuracy, potentially revolutionizing deep learning.

MIT's Catherine D'Ignazio is using data to address social issues and empower marginalized groups, focusing on projects like AI tools for documenting feminicide in Latin America.

MIT's Electrified Thermal Solutions has developed electrically conductive firebricks capable of reaching over 3,000 degrees Fahrenheit, aiming to decarbonize industrial heating.

MIT researchers designed a promising cancer vaccine aimed at enhancing the efficacy of immune checkpoint blockade therapies against heterogeneous tumors.

MIT researchers have developed an AI tool that can predict the impact of flooding using realistic satellite imagery, aiming to improve disaster preparedness.

MIT, Harvard, and Mass General Brigham lead a consortium that has initiated two renewable energy projects adding 408 MW to the grid to combat climate change.

MIT's AVT Consortium studies driver interactions with autonomous technologies, aiming to cultivate trust in AI to ensure the adoption and potential of automated vehicles.

MIT researchers developed a new algorithm improving AI training efficiency, promising better reliability for AI in various applications like traffic management.