MIT graduates founded Charge Robotics to automate solar farm assembly, significantly cutting costs and time. Their portable factory system could revolutionize the industry.

MIT and partner researchers identify genes essential for the survival of tuberculosis bacteria during airborne transmission, suggesting new treatment targets.

SMART researchers, in collaboration with TLL and MIT, have developed a nanosensor for noninvasive, real-time tracking of iron levels in plants, potentially transforming crop management and fertilization strategies.

MIT researchers developed bioabsorbable fabrics using industrial knitting machines to promote cell growth and accelerate healing in soft tissues, offering a solution for chronic wounds related to diabetes, vascular diseases, and aging.

Louis DeRidder at MIT develops CLAUDIA, a system for personalized chemotherapy dosing, and works on delivering therapeutic nucleic acids with new nanoparticles. His innovations aim to improve medical care and drug delivery.

MIT researchers developed a smart garment with embedded microcomputing fibers that can run apps, monitor health in real time, and are machine-washable.

MIT researchers released footage showing a droplet's impact on water, providing insights into splash dynamics relevant to agriculture and public health.

MIT engineers propose bolstering the power grid using "grid-edge" devices in homes, like solar panels and smart thermostats, for a decentralized emergency backup system.

An MIT study highlights the environmental and economic benefits of electrifying residential heating, advocating efficient heat pumps and home insulation to cut emissions and costs.

The Plymouth Police Department will soon implement body-worn cameras for officers, aiming to enhance trust and public safety, as announced on their Facebook page.

Pivot Bio innovates with microbial nitrogen as a sustainable alternative to traditional fertilizers, aiming to reduce energy use and emissions in agriculture.

Butlr's thermal sensors provide smart building intelligence while respecting privacy, used in facilities like nursing homes and offices without recording visual data.

A deep learning tool developed by researchers from MIT and Harvard Medical School shows promise in predicting heart failure using ECG data, potentially easing the healthcare system's burden by preventing hospitalizations.