Earlier this year a machine learning algorithm identified up to 5,000 potential gravitational lenses that could transform our ability to chart the evolution of galaxies since the Big Bang.
Astronomy
Sep 26, 2022
4
101
University of Texas at Dallas physicists and their collaborators at Yale University have demonstrated an atomically thin, intelligent quantum sensor that can simultaneously detect all the fundamental properties of an incoming ...
Nanophysics
Sep 8, 2022
1
1002
Two-dimensional materials, which consist of a single layer of atoms, exhibit unusual properties that could be harnessed for a wide range of quantum and microelectronics systems. But what makes them truly special are their ...
Nanomaterials
Aug 25, 2022
0
149
Invasive plant species do more than harm agriculture and native species as they reshape landscapes. They also cause economic losses of more than $20 billion annually in the U.S. alone. Identifying where and how quickly invasive ...
Ecology
Aug 10, 2022
0
14
It's been nearly a century since astronomer Fritz Zwicky first calculated the mass of the Coma Cluster, a dense collection of almost 1,000 galaxies located in the nearby universe. But estimating the mass of something so huge ...
Astronomy
Jul 19, 2022
1
1188
Big data has become a big challenge for space scientists analyzing vast datasets from increasingly powerful space instrumentation. To address this, a Southwest Research Institute team has developed a machine learning tool ...
Astronomy
Jul 6, 2022
0
45
What's the relationship between people's perception of beauty and animals' conservation needs? According to a machine-learning study by Nicolas Mouquet at the University of Montpellier, France, and colleagues, publishing ...
Plants & Animals
Jun 7, 2022
0
92
A team of researchers has built an intelligent sensor—the size of about 1/1000 of the cross-section of a human hair—that can simultaneously detect the intensity, polarization and wavelength of light, tapping into the ...
Optics & Photonics
May 17, 2022
0
294
In recent years, advancements in the immense processing ability and parallelism of modern graphics processing units (GPUs) has generated the rapid development of deep learning based on convolutional neural networks (CNN), ...
Optics & Photonics
May 6, 2022
0
18
A common problem in the geosciences is the need to deduce unseen physical structure based on limited observations. For instance, a ground-penetrating radar observation attempts to infer underground structure without any in ...
Earth Sciences
Apr 1, 2022
0
153
