Research shows nitrogen efficiency and productivity not a tradeoff.
Imagine a silent helicopter stealthily moving troops and supplies around a future battlefield. U.S. Army researchers look to helicopter noise reduction technology as a top priority in aircraft design. At the U.S. Army Combat Capabilities Development Command, now known as DEVCOM, Army Research Laboratory, researchers collaborated with Uber and the University of Texas at Austin to investigate the acoustic properties of electric vertical takeoff and landing aircraft, which use distributed electric propulsion to power flight.
Deep learning neural networks can be massive, demanding major computing power. In a test of the "lottery ticket hypothesis," MIT researchers have found leaner, more efficient subnetworks hidden within BERT models. The discovery could make natural language processing more accessible.
In a new study published in the Journal of Biomedical Optics, researchers from Johns Hopkins University, Mason T. Chen and Nicholas J. Durr, have proposed an end-to-end technique for accurate calculation of tissue oxygenation from single snapshots, called OxyGAN.
ORNL story tips: Air taxis, fungi speak, radiation game and climate collab.
Skoltech researchers have investigated the procedure for catalyst delivery used in the most common method of carbon nanotube production, chemical vapor deposition (CVD), offering what they call a "simple and elegant" way to boost productivity and pave the way for cheaper and more accessible nanotube-based technology.
Light-induced processes are critical in transformative technologies such as solar energy harvesting, as well as in photomedicine and photoresponsive materials. Theoretical studies of the dynamics of photoinduced processes require numerous electronic structure calculations, which are computationally expensive. Scientists from the University of Groningen developed machine learning-based algorithms, which reduce these computations significantly. The Open Source software package that they developed, PySurf, was presented in a paper in the Journal of Chemical Theory and Computation.
A groundbreaking study published in Information & Communications Technology Law by experts at the Centre for Law and Development at Qatar University discusses the legal and ethical implications of Big Tech's development of "digital thought clones." Digital thought clones can allow technology companies to accurately predict and influence people's behavior according to their digital habits. The authors call for legislation to protect people from technology companies' malicious use of their digital footprint.
Researchers from SMART have developed a method to produce engineered lysins that can be used to selectively kill bacteria of interest while leaving others unharmed. The discovery presents a promising alternative to antibiotics for treating existing drug-resistant bacteria without the risk of causing resistance.
In collaboration with the Technical University of Denmark (DTU), the Department of Engineering at Aarhus University has developed photonic sensor technology that can pave the way for a portable, reliable and, above all, inexpensive device for detecting ammonia and other gases in agriculture. The new technology has been developed as part of the Ecometa project, which has received DKK 12.5 million funding from Innovation Fund Denmark.