MIT study finds weaker ocean circulation could enhance atmospheric CO2, overturning current understanding of oceanic carbon sequestration and the role of phytoplankton and ligands.

MIT researchers have created GenSQL, an AI system for simplifying data analysis on databases, using familiar SQL language to assist users in performing advanced tasks without requiring deep technical knowledge.

MIT engineers developed a method to protect microbes from extreme conditions, improving their resilience. This technique may have applications in medicine, agriculture, and space missions, and has undergone testing, including a trip to space.

MIT researchers suggest that language is primarily used for communication rather than for structuring thought, challenging traditional beliefs about language's cognitive function.

MIT researchers, in collaboration with ATI Specialty Materials, have developed a method to create stronger titanium alloys, advancing aerospace materials by balancing strength and ductility.

UMass Amherth and PUMA are collaborating on a project led by Meghan Huber and Wouter Hoogkamer to develop a robotic hip exoskeleton intended to enhance running performance.

MIT researchers advocate for a national bottle deposit program to boost the recycling rate of PET bottles from 24% to 82%.

Harvard specialists debate adjusting the age for colorectal cancer screenings due to rising early onset rates, balancing the potential benefits against costs and resource allocation.

Researchers have developed an implantable microphone for cochlear implants, potentially eliminating the need for external components and simplifying surgery and recovery.

A study reveals that 55% of water in U.S. rivers comes from ephemeral streams, which are not protected by the Clean Water Act, posing risks to waterways like the Connecticut River.

MIT and Brigham and Women’s Hospital have created a surgical method that enhances natural walking for individuals with limb amputations by improving neural feedback from residual limbs.

MIT's Michael Birnbaum researches T cells and antigens to advance T cell therapies for conditions like cancer, creating tools to analyze their interactions.

MIT's AI study shows that AI models used for medical image diagnosis can predict patient demographics, which may lead to biased outcomes. Researchers are developing methods to address this issue.