Antibody treatments may be able to activate the immune system to fight diseases like Parkinson's, Alzheimer's and colorectal cancer, but they are less effective when they bind with themselves and other molecules that aren't ...
Biotechnology
Sep 11, 2023
0
23
Researchers from the RIKEN Center for Quantum Computing have used machine learning to perform error correction for quantum computers—a crucial step for making these devices practical—using an autonomous correction system ...
Quantum Physics
Sep 7, 2023
0
214
The sixth mass extinction is currently happening on Earth. Rapid biodiversity loss is affecting every corner of the globe, as species of plants, mammals, fish, and reptiles disappear due to the changing climate. While much ...
Plants & Animals
Sep 7, 2023
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20
Every morning and afternoon, like clockwork, the surface of the moon trembles with tiny "moonquakes." Now, new analysis of seismic activity on the moon has characterized these events and discovered that some of them are not ...
Planetary Sciences
Sep 7, 2023
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29
Stishovite has the same chemical formula as silica quartz (SiO2) but it has much higher density. While SiO2 is abundant on Earth's crust, it is also a major component of basalt, a type of igneous rock that is rich in iron ...
The fine structure of the catalytic surface has a significant impact on structural sensitive reactions, and high-throughput (HT) screening and machine learning (ML) are believed to effectively explore the potential rules ...
Analytical Chemistry
Sep 6, 2023
0
5
Developments in machine learning are continuing at breathtaking pace, both inside and outside of weather forecasting. To help assess machine learning weather forecasts from different sources, we now show a range of them in ...
Earth Sciences
Sep 6, 2023
0
2
A team of scientists from Ames National Laboratory has developed a new machine learning model for discovering critical-element-free permanent magnet materials. The model predicts the Curie temperature of new material combinations. ...
Analytical Chemistry
Sep 5, 2023
0
524
Researchers at Auburn University are seeking ways to identify unknown compounds using collision cross section (CCS) measurements paired with prediction methods including computational models and machine learning. Their study ...
Analytical Chemistry
Sep 5, 2023
0
5
Researchers have developed a new method of detecting a metabolic disease that affects dairy cows after calving. The aim is to determine whether cows are at risk of contracting the disease before they actually become sick.
Agriculture
Sep 5, 2023
0
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