MIT researchers developed a model that could enhance the charging speed and lifespan of lithium-ion batteries by focusing on the reaction rate of lithium ions and electron transfer.

MIT researchers have developed a new framework for designing complex systems that incorporates uncertainty, potentially revolutionizing the engineering process for robust and sophisticated technologies.

MIT researchers discovered that a diet high in cysteine can accelerate the regeneration of the small intestine's lining, a finding with potential benefits for patients undergoing cancer treatments.

MIT joined the consortium building the Giant Magellan Telescope in Chile, with a significant donation from Phillip and Susan Ragon enhancing U.S. leadership in astronomy.

MIT scientists explore how the brain seamlessly processes visual information from both eyes without a perceptible seam, suggesting a synchronized handoff between hemispheres for smooth perception.

An MIT study found that over half of FDA-approved drugs since 2000 have connections to NIH research, highlighting the potential impact of proposed NIH budget cuts on future drug development.

MIT research reveals that intestinal mucus, particularly MUC2, contains molecules that can deactivate Salmonella infection pathways, which may lead to preventive treatments against gastrointestinal pathogens.

MIT researchers have developed an AI-based tool, MultiverSeg, to accelerate the annotation of medical images, simplifying segmentation and requiring less user input over time.

MIT researchers developed an AI technique to create materials for quantum computing, through constraints guiding it to beneficial materials, enhancing generative models' effectiveness in the field.

U.S. military bases conduct Energy Resilience Readiness Exercises to test operations during extended power outages, simulating real-world grid failures to identify vulnerabilities and enhance readiness.

MIT geologists discovered that 80% of earthquake energy turns into heat, with only 10% causing ground shaking and less than 1% fracturing rocks. Their lab quake simulations offer insights into seismic risk assessment.

MIT researchers have created a technique that analyzes the sounds from lithium-ion batteries to detect their health and potential failure, which may improve battery safety and longevity.

MIT's Fetal SMPL is a machine-learning tool that provides 3D representations of fetal development, aiding doctors in prenatal diagnostics by using a model adapted for fetal poses from MRI data.