A new publication from Opto-Electronic Advances discusses how deep learning makes single-shot, high-resolution structured light 3D imaging possible.
Optics & Photonics
Jun 20, 2022
0
24
The biotech industry is constantly searching for the perfect mutation, where properties from different proteins are synthetically combined to achieve a desired effect. It may be necessary to develop new medicaments or enzymes ...
Biotechnology
May 4, 2022
0
208
Chemical engineers and materials scientists are constantly looking for the next revolutionary material, chemical, and drug. The rise of machine-learning approaches is expediting the discovery process, which could otherwise ...
Analytical Chemistry
Apr 4, 2022
0
270
Bacterial identification can take hours and often longer, precious time when diagnosing infections and selecting appropriate treatments. There may be a quicker, more accurate process according to researchers at KAIST. By ...
Biotechnology
Mar 4, 2022
0
131
Scientists developed a neural network deep learning technique to extract hidden turbulent motion information from observations of the sun. Tests on three different sets of simulation data showed that it is possible to infer ...
Astronomy
Feb 25, 2022
0
94
Machine learning is transforming data-heavy fields across the sciences, and seismology is no exception. Several machine learning methods have emerged for earthquake detection, phase identification, and phase picking. However, ...
Earth Sciences
Feb 24, 2022
0
24
Antibodies, small proteins produced by the immune system, can attach to specific parts of a virus to neutralize it. As scientists continue to battle SARS-CoV-2, the virus that causes COVID-19, one possible weapon is a synthetic ...
Biotechnology
Feb 1, 2022
0
575
One of the most promising applications of artificial intelligence technologies is the identification of tumors from high-resolution medical imagery. Can the same techniques be used to help paleontologists more quickly analyze ...
Paleontology & Fossils
Jan 27, 2022
0
845
Climate change is one of the greatest challenges facing humanity today. To help address this, researchers from Lawrence Berkeley National Laboratory (Berkeley Lab), Caltech, and NVIDIA trained the Fourier Neural Operator ...
Environment
Dec 8, 2021
0
38
In their quest to discover effective new medicines, scientists search for drug-like molecules that can attach to disease-causing proteins and change their functionality. It is crucial that they know the 3D shape of a molecule ...
Analytical Chemistry
Dec 6, 2021
0
244
