When it comes to fighting substance abuse, research suggests the company you keep can make the difference between recovery and relapse. Researchers from the USC Center for Artificial Intelligence in Society have created an algorithm that sorts intervention program participants -- who are voluntarily working on recovery -- into smaller groups, or subgroups, in a way that maintains helpful social connections and breaks social connections that could be detrimental to recovery.
In a study that holds promise for self-driving cars, MIT researchers have developed a system that can image and gauge the distance of objects shrouded by fog so thick that human vision can't penetrate it.
Researchers have taken a key step toward helping wildlife coexist more safely with wind power generation by demonstrating the success of an impact detection system that uses vibration sensors mounted to turbine blades.
An international consortium of cosmology researchers are releasing initial findings from IllustrisTNG, their follow-up to the 2015 record-breaking Illustris simulation -- the largest-ever hydrological simulation of galaxy formation.
US Army-funded researchers at Brandeis University have discovered a process for engineering next-generation soft materials with embedded chemical networks that mimic the behavior of neural tissue. The breakthrough material may lead to autonomous soft robotics, dual sensors and actuators for soft exoskeletons, or artificial skins.
In a paper published online March 5 in Nature Communications, University of Washington researchers unveiled an open-access browser to display, analyze and share neurological data collected through a type of magnetic resonance imaging study known as diffusion-weighted MRI.
One in 10 people in America is fighting a rare disease, or a disorder that affects fewer than 200,000 Americans. Researchers have developed a sophisticated and systematic way to identify existing drugs that can be repositioned to treat a rare disease or condition.
A new lightweight, low-cost agricultural robot could transform data collection and field scouting for agronomists, seed companies and farmers. The TerraSentia crop phenotyping robot, developed by a team of scientists at the University of Illinois, will be featured at the 2018 Energy Innovation Summit Technology Showcase in National Harbor, Maryland. The robot measures the traits of individual plants using a variety of sensors, including cameras, transmitting the data in real time to the operator's phone or laptop computer.
Berkeley Lab and Joint Genome Institute researchers took one of the most popular clustering approaches in modern biology -- Markov Clustering algorithm -- and modified it to run efficiently and at scale on supercomputers. Their algorithm achieved a previously impossible feat: clustering a 70 million node and 68 billion edge biological network in hours.
While most of biology and medicine focus on the key roles genes and chemicals play in living systems, the spatial arrangement of the components that make up those systems and the physical forces they experience are being increasingly recognized as equally important. A new study from the Wyss institute finds that Nature uses tensional integrity, or 'tensegrity' (a principle well-known in architectural design), to stabilize the shapes of living cells, as demonstrated in a first-of-its-kind multiscale, digital model.