systems

A Penn State scientist studying crystal structures has developed a new mathematical formula that may solve a decades-old problem in understanding spacetime, the fabric of the universe proposed in Einstein's theories of relativity. "Relativity tells us space and time can mix to form a single entity called spacetime, which is four-dimensional: three space-axes and one time-axis," … [Read more...] about Spacetime crystals proposed by placing space and time on an equal footing

Researchers from UTSA, the University of Central Florida (UCF), the Air Force Research Laboratory (AFRL) and SRI International have developed a new method that improves how artificial intelligence learns to see. Led by Sumit Jha, professor in the Department of Computer Science at UTSA, the team has changed the conventional approach employed in explaining machine learning … [Read more...] about Improving computer vision for AI

Over the years, robots have gotten quite good at identifying objects -- as long as they're out in the open. Discerning buried items in granular material like sand is a taller order. To do that, a robot would need fingers that were slender enough to penetrate the sand, mobile enough to wriggle free when sand grains jam, and sensitive enough to feel the detailed shape of the … [Read more...] about Slender robotic finger senses buried items: The technology uses tactile sensing to identify objects underground, and might one day help disarm land mines or inspect cables.

The goal of Kaare Hartvig Jensen, Associate Professor at DTU Physics, was to reduce the need for harvesting, transporting, and processing crops for the production of biofuels, pharmaceuticals, and other products. The new method of extracting the necessary substances, which are called plant metabolites, also eliminates the need for chemical and mechanical processes. Plant … [Read more...] about The world’s smallest fruit picker controlled by artificial intelligence

University of Virginia School of Medicine scientists have developed important new resources that will aid the battle against cancer and advance cutting-edge genomics research. UVA's Chongzhi Zang, PhD, and his colleagues and students have developed a new computational method to map the folding patterns of our chromosomes in three dimensions from experimental data. This is … [Read more...] about New tools to battle cancer, advance genomics research

A new combination of optical coherence tomography (OCT), adaptive optics and deep neural networks should enable better diagnosis and monitoring for neuron-damaging eye and brain diseases like glaucoma. Biomedical engineers at Duke University led a multi-institution consortium to develop the process, which easily and precisely tracks changes in the number and shape of retinal … [Read more...] about AI spots neurons better than human experts: Deep learning-based algorithm can potentially improve diagnosis of eye and brain diseases

Biomedical engineers at Duke University have developed an automatic process that uses streamlined artificial intelligence (AI) to identify active neurons in videos faster and more accurately than current techniques. The technology should allow researchers to watch an animal's brain activity in real time, as they are behaving. The work appears May 20 in Nature Machine … [Read more...] about Machine learning platform identifies activated neurons in real-time: Streamlined AI immediately and accurately maps activated neurons to help learn how the brain works