A novel system developed at MIT uses RFID tags to help robots home in on moving objects with unprecedented speed and accuracy. The system could enable greater collaboration and precision by robots working on packaging and assembly, and by swarms of drones carrying out search-and-rescue missions.
Plants are master chemists, and Michigan State University researchers have unlocked their secret of producing specialized metabolites.
Researchers from the Ludwig-Maximillains University Munich and Canadian research organization Ouranos have been investigating extreme flooding events by modelling European and Canadian climate from 1950 to 2100.
A multidisciplinary team from Northwestern University and the Georgia O'Keeffe Museum in Santa Fe, New Mexico has diagnosed the strange paint disease causing Georgia O'Keeffe's paintings to deteriorate. The micron-sized protrusions are metal soaps, resulting from a chemical reaction between the metal ions and fatty acids commonly used as binder in paints.
Artificial intelligence is helping to guide and support some 50 breast cancer patients in rural Georgia through a novel mobile application that gives them personalized recommendations on everything from side effects to insurance.
Rice University statistician Genevera Allen is cautioning fellow scientists at the 2019 AAAS Annual Meeting in Washington, D.C., not to make assumptions about the accuracy, uncertainty or reproducibility of scientific discoveries made with today's machine learning models.
Autonomous vehicles relying on light-based image sensors often struggle to see through blinding conditions, such as fog. But MIT researchers have developed a sub-terahertz-radiation receiving system that could help steer driverless cars when traditional methods fail.
Potentially lethal heart conditions may become easier to spot and may lead to improvements in prevention and treatment thanks to innovative new software that measures electrical activity in the organ.
Dartmouth researchers have developed and evaluated a machine learning approach of using patient core needle biopsy data to identify the risk that atypical ductal hyperplasia (ADH) breast lesions may upgrade to cancer. This knowledge can potentially help clinicians and low-risk patients decide whether active surveillance and hormonal therapy is a reasonable management approach. Using the method could spare patients with benign lesions from invasive surgeries while maintaining high sensitivity for predicting malignant lesions.
A new virtual tool could help planners choose the best places to install bikes lanes in cities. The data-based tool builds on previous research at the University of Waterloo that validated the safety benefits of bike lanes for cyclists and motorists.