researchers in Germany have used Europe's most powerful high-performance computing (HPC) infrastructure to run new and more precise lattice quantum chromodynamics (lattice QCD) calculations of muons in a magnetic field. The team found a different value for the Standard Model prediction of muon behaviour than what was previously accepted.
University of California Berkeley researchers initiated a collaboration that gathered engineers from different universities worldwide to create a photonic MEMS switch using a commercially available complementary metal-oxide-semiconductor (CMOS) fabrication process without modification. The use of this well-known microfabrication platform represents a huge step toward industrialization because it is compatible with most current technologies, cost-effective, and suited for high-volume production.
Researchers at NYU Tandon and Politecnico di Torino in Italy developed a network model to study the effects of mask wearing and social distancing on the spread of airborne diseases like COVID-19. The model shows viral outbreaks can be prevented if at least 60% of a population complies with both measures.
Despite increasing concern over the intrusion of algorithms in daily life, people may be more willing to trust a computer program than their fellow humans, especially if a task becomes too challenging, according to new research from data scientists at the University of Georgia.
A simple yet elegant change to code studied for more than 20 years could shorten timeline to achieve scalable quantum computation and has attracted the attention of quantum computing programs at Amazon Web Services and Yale University.
Researchers at the University of Tokyo have presented a frequency-based inpainting method that enables the use of both frequency and spatial information to generate missing image portions. Publishing in the Journal of Electronic Imaging (JEI), Hiya Roy et al. detail the technique in "Image inpainting using frequency domain priors."
Rice University computer scientists have demonstrated artificial intelligence software that runs on commodity processors and trains deep neural networks 15 times faster than platforms based on graphics processors.
It is more complicated than copy and paste, but digital twins could be way of future manufacturing according to researchers from the University of Kentucky. They developed a virtual environment based on human-robot interactions that can mirror the physical set up of a welder and their project. Called a digital twin, the prototype has implications for evolving manufacturing systems and training novice welders.
Researchers lengthen the lifetime of a dipolar molecule to almost three and a half seconds, a luxury of time during which they maintained the full quantum control necessary for stable qubits, the building blocks for a wide variety of exciting quantum applications.
RF Grasp is a picking robot that combines vision with radio frequency (RF) sensing to find and grasps objects, even if they're hidden from view. The technology, developed at MIT, could aid fulfillment in e-commerce warehouses.