A UCLA research team has devised a technique that extends the capabilities of fluorescence microscopy, which allows scientists to precisely label parts of living cells and tissue with dyes that glow under special lighting. ...
General Physics
Nov 8, 2019
0
1217
A clam shell may be a familiar find on the beach, but its intricate curves and markings tell a rich tale. For centuries, biologists have collected, drawn, measured and compared the shells of bivalve species, pursuing knowledge ...
Ecology
Jul 15, 2019
0
109
A deep learning-powered computational framework, 'DeepEC,' will allow the high-quality and high-throughput prediction of enzyme commission numbers, which is essential for the accurate understanding of enzyme functions.
Machine learning & AI
Jul 9, 2019
0
0
Gossip is an efficient way to share information across large networks and has unexpected applications in solving other mathematical and machine-learning problems.
Machine learning & AI
Jul 8, 2019
0
0
The challenge to analyze earthquake signals with optimum precision grows along with the amount of available seismic data. At the Karlsruhe Institute of Technology (KIT), researchers have deployed a neural network to determine ...
Earth Sciences
Jun 14, 2019
0
22
A team of researchers from Osaka University and The University of Tokyo developed MNet, an automatic diagnosis system for neurological diseases using magnetoencephalography (MEG), demonstrating the possibility of making automatic ...
Machine learning & AI
May 16, 2019
0
14
When Google DeepMind's AlphaGo shockingly defeated legendary Go player Lee Sedol in 2016, the terms artificial intelligence (AI), machine learning and deep learning were propelled into the technological mainstream.
Computer Sciences
Apr 15, 2019
0
16
Using artificial neural networks designed to emulate the inner workings of the human brain, deep-learning algorithms deftly peruse and analyze large quantities of data. Applying this technique to science problems can help ...
Molecular & Computational biology
Mar 28, 2019
0
405
Scientists seeking to understand Earth's inner clockwork have deployed armies of sensors listening for signs of slips, rumbles, exhales and other disturbances emanating from the planet's deepest faults to its tallest volcanoes. ...
Earth Sciences
Mar 22, 2019
2
67
To find out how planets form, astrophysicists run complicated and time-consuming computer calculations. Members of the NCCR PlanetS at the University of Bern have now developed a totally novel approach to speed up this process ...
Astronomy
Mar 13, 2019
0
31
