An MIT study reveals that leaked hydrogen fuel has a non-negligible climate impact, especially on greenhouse gases like methane, stressing the need for leak prevention in hydrogen infrastructure.

MIT's Andres Sevtsuk studies the impact of street design on behaviors, using Kendall Square as a living lab to gather data on pedestrian dynamics and develop models for urban planning.

The Koch Institute at MIT presents an exhibition with 10 items reflecting 50 years of cancer research milestones, marking significant advances and personal stories in the field.

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.