Scientists at the University of California, Irvine have developed a new deep-learning framework that predicts gene regulation at the single-cell level.
Biotechnology
Jan 6, 2021
0
195
A joint research team from KAIST and UCSD has developed a deep neural network named DeepTFactor that predicts transcription factors from protein sequences. DeepTFactor will serve as a useful tool for understanding the regulatory ...
Molecular & Computational biology
Jan 5, 2021
0
13
An Australian-German collaboration has demonstrated fully-autonomous SPM operation, applying artificial intelligence and deep learning to remove the need for constant human supervision.
General Physics
Mar 26, 2020
1
228
Proteins are the building blocks of life, and consequently, scientists have long studied how they can improve proteins and design completely new proteins that perform new functions and processes.
Biotechnology
Mar 17, 2020
1
2826
Over the last century, scientists have developed methods to map the structures within the Earth's crust, in order to identify resources such as oil reserves, geothermal sources, and, more recently, reservoirs where excess ...
Earth Sciences
Mar 2, 2020
1
168
Applying deep learning to seismic data has revealed tremor and slip occur at all times—before and after known large-scale slow-slip earthquakes—rather than intermittently in discrete bursts, as previously believed. Even ...
Earth Sciences
Feb 27, 2020
0
284
Diffractive deep neural network is an optical machine learning framework that blends deep learning with optical diffraction and light-matter interaction to engineer diffractive surfaces that collectively perform optical computation ...
Optics & Photonics
Dec 2, 2019
0
439
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
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
