Machine learning and artificial intelligence (AI) are perfectly suited to help companies and marketers monitor and set prices based on real-time dynamic pricing. But new research has identified some possible unintended consequences ...
Economics & Business
Jan 12, 2021
0
8
One of the Hubble Space Telescope's most iconic images is the Hubble Ultra Deep Field, which unveiled myriad galaxies across the universe, stretching back to within a few hundred million years of the Big Bang. Hubble peered ...
Astronomy
Jan 12, 2021
2
199
Combining electronic structure calculations and machine learning (ML) techniques has become a common approach in the atomistic modeling of matter. Using the two techniques together has allowed researchers, for instance, to ...
General Physics
Jan 07, 2021
0
16
Scientists have developed a pioneering new approach that will rapidly speed up machine learning—using light.
Optics & Photonics
Jan 07, 2021
0
14
Operators of the primary particle accelerator at the U.S. Department of Energy's Thomas Jefferson National Accelerator Facility are getting a new tool to help them quickly address issues that can prevent it from running smoothly. ...
General Physics
Jan 05, 2021
0
69
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 05, 2021
0
13
A QUT study of two interrelated Twitter hashtag campaigns in relation to the Victorian Premier Dan Andrews' handling of the COVID-19 second wave found the activity was driven by a "small, hyper-partisan core of highly active ...
Political science
Dec 23, 2020
0
4
Researchers at the Niels Bohr Institute and the Department of Chemistry at University of Copenhagen, have recently designed a porous polymer aiming for the capture of small molecules. Ammonia is a toxic gas widely used as ...
Polymers
Dec 22, 2020
0
23
While the scientific community grapples with the loss of the Arecibo radio telescope, astronomers who recently revived a long-dormant radio telescope array in Argentina hope it can help modestly compensate for the work Arecibo ...
Astronomy
Dec 21, 2020
2
61
Researchers at the George Washington University, together with researchers at the University of California, Los Angeles, and the deep-tech venture startup Optelligence LLC, have developed an optical convolutional neural network ...
Optics & Photonics
Dec 18, 2020
3
186
