Researchers from the University of Cambridge, the University of Milan and Google Research have used machine learning techniques to predict how proteins, particularly those implicated in neurological diseases, completely change their shapes in a matter of microseconds. They found that when amyloid beta, a key protein implicated in Alzheimer's disease, adopts a highly disordered … [Read more...] about Following the hops of disordered proteins could lead to future treatments of Alzheimer’s disease
Computers
New state of matter in one-dimensional quantum gas
As the story goes, the Greek mathematician and tinkerer Archimedes came across an invention while traveling through ancient Egypt that would later bear his name. It was a machine consisting of a screw housed inside a hollow tube that trapped and drew water upon rotation. Now, researchers led by Stanford University physicist Benjamin Lev have developed a quantum version of … [Read more...] about New state of matter in one-dimensional quantum gas
Pivotal discovery in quantum and classical information processing
Scientists tame photon-magnon interaction. Working with theorists in the University of Chicago's Pritzker School of Molecular Engineering, researchers in the U.S. Department of Energy's (DOE) Argonne National Laboratory have achieved a scientific control that is a first of its kind. They demonstrated a novel approach that allows real-time control of the interactions between … [Read more...] about Pivotal discovery in quantum and classical information processing
New way to control electrical charge in 2D materials: Put a flake on it
Physicists at Washington University in St. Louis have discovered how to locally add electrical charge to an atomically thin graphene device by layering flakes of another thin material, alpha-RuCl3, on top of it. A paper published in the journal Nano Letters describes the charge transfer process in detail. Gaining control of the flow of electrical current through atomically thin … [Read more...] about New way to control electrical charge in 2D materials: Put a flake on it
Deep learning outperforms standard machine learning in biomedical research applications
Compared to standard machine learning models, deep learning models are largely superior at discerning patterns and discriminative features in brain imaging, despite being more complex in their architecture, according to a new study in Nature Communications led by Georgia State University. Advanced biomedical technologies such as structural and functional magnetic resonance … [Read more...] about Deep learning outperforms standard machine learning in biomedical research applications