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.
Information scientists at the U.S. Army Research Laboratory and the University of Michigan have borrowed from the popular game "20 Questions," to make an important step towards helping robots maintain continuous and purposeful conversation with humans. They have developed an optimal strategy for asking a series of yes/no questions that rapidly achieves the best answer.
Researchers have made a decisive step towards being able to simulate brain-scale networks on future supercomputers of the exascale class. The breakthrough algorithm allows larger parts of the human brain to be represented, using the same amount of computer memory. Simultaneously, the new algorithm significantly speeds up brain simulations on existing supercomputers.
Rice University engineers are developing their FlatScope as a fluorescent microscope able to capture three-dimensional data and produce images from anywhere within the field.
ORNL's new model could better predict tiny pockets of methylmercury lurking in creek algae; engines work smarter with new fuel innovation; making high-purity metallic structures narrower than a cold virus could advance tiny electronics, drug delivery and more; insights on certain enzymes that try to break down antibiotics may inform better drug designs for fighting resistant bacteria; ORNL is preparing current software simulations for small modular reactors to run on next-generation supercomputers.