Identifying the underlying cause of extreme events such as floods, heavy downpours or tornados is immensely difficult and can take a concerted effort by scientists over several decades to arrive at feasible physical explanations.
General Physics
Oct 2, 2023
0
63
EPFL scientists show that even a few simple examples are enough for a quantum machine-learning model, the "quantum neural networks," to learn and predict the behavior of quantum systems, bringing us closer to a new era of ...
Quantum Physics
Jul 5, 2023
0
812
Weiss-Kruszka syndrome is a rare neurodevelopmental disorder characterized by craniofacial anomalies, developmental delay, and autistic features. Researchers at the Institute of Molecular Biotechnology (IMBA) of the Austrian ...
Cell & Microbiology
Jan 5, 2023
0
50
The brains of all higher-order animals are filled with a diverse array of neuron types, with specific shapes and functions. Yet, when these brains form during embryonic development, there is initially only a small pool of ...
Cell & Microbiology
Nov 29, 2022
0
100
Microscopic roundworms may hold the key to understanding what is happening in the brain when the instinct of an animal changes in order to survive. In a newly published paper in the journal Current Biology, University of ...
Plants & Animals
Aug 25, 2021
0
365
A Florida State University professor's research could help quantum computing fulfill its promise as a powerful computational tool.
Quantum Physics
Mar 16, 2021
0
314
Depriving a zebrafish of food for six days boosts its chances of winning a fight against a well-fed fish because starvation activates a certain pathway in its brain, neuroscientists at RIKEN have shown. This finding could ...
Cell & Microbiology
Aug 28, 2020
0
24
An optical fiber made of agar has been produced at the University of Campinas (UNICAMP) in the state of São Paulo, Brazil. This device is edible, biocompatible and biodegradable. It can be used in vivo for body structure ...
Materials Science
Jul 27, 2020
0
1219
Quantum mechanics is a well-established theory, but at a macroscopic level it leads to intractable contradictions. Now ETH physicists are proposing to resolve the problem with the aid of neural networks.
Quantum Physics
Jan 8, 2020
2
343
The prediction of molecular reactions triggered by light is to date extremely time-consuming and therefore costly. A team led by Philipp Marquetand from the Faculty of Chemistry at the University of Vienna has now presented ...
Materials Science
Sep 11, 2019
0
518
