Authors: George Rajna
Researchers from the Moscow Institute of Physics and Technology have created a device that acts like a synapse in the living brain, storing information and gradually forgetting it when not accessed for a long time.  The researchers observed that molecules with the capacity to encode information are produced in systems called Weyl semimetals when time-reversal symmetry is broken.  Researchers have developed a way to enhance the imaging speed of two-photon microscopy up to five times without compromising resolution.  "We believe that with further advances such as OCRT, the high impact of this technology may be extended not only to additional ophthalmic diagnostics, but to imaging of pathologies in tissues accessible by endoscopes, catheters, and bronchoscopes throughout the body."  Working with researchers from Arizona State University, the team's new mathematical method is able to identify anomalies or bugs in the system before the car hits the road.  A research team at The University of Tokyo has developed a powerful machine learning algorithm that predicts the properties and structures of unknown samples from an electron spectrum.  Researchers have mathematically proven that a powerful classical machine learning algorithm should work on quantum computers.  Researchers at Oregon State University have used deep learning to decipher which ribonucleic acids have the potential to encode proteins.  A new method allows researchers to systematically identify specialized proteins that unpack DNA inside the nucleus of a cell, making the usually dense DNA more accessible for gene expression and other functions.  Bacterial systems are some of the simplest and most effective platforms for the expression of recombinant proteins. 
Comments: 49 Pages.
[v1] 2019-08-29 08:10:12
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