For reasons of food security and economic incentive, farmers continuously seek to maximize their marketable crop yields. As plants grow inconsistently, at the time of harvesting, there will inevitably be variations in quality ...
Biotechnology
Oct 4, 2023
0
21
Identifying the underlying cause of extreme events such as floods, heavy downpours or tornados is immensely difficult and can take a concerted effort by scientists over several decades to arrive at feasible physical explanations.
General Physics
Oct 2, 2023
0
63
In nonlinear dynamic systems, a change in one place can trigger an outsized change elsewhere. The climate, the workings of the human brain, and the behavior of the electric grid are all examples—and all change dramatically ...
General Physics
Sep 28, 2023
0
34
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
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
In a review published in Engineering, scientists explore the burgeoning field of machine learning (ML) and its applications in chemistry. Titled "Machine Learning for Chemistry: Basics and Applications," this comprehensive ...
Analytical Chemistry
Sep 4, 2023
0
51
Can one see through a scattering medium like ground glass? Conventionally, such a feat would be deemed impossible. As light travels through an opaque medium, the information contained in the light becomes "jumbled up," almost ...
Optics & Photonics
Aug 1, 2023
0
45
Researchers at North Carolina State University used a CRISPR gene-editing system to breed poplar trees with reduced levels of lignin, the major barrier to sustainable production of wood fibers, while improving their wood ...
Biotechnology
Jul 13, 2023
2
114
Using a combination of high-powered X-rays, phase-retrieval algorithms and machine learning, Cornell researchers revealed the intricate nanotextures in thin-film materials, offering scientists a new, streamlined approach ...
Nanophysics
Jul 7, 2023
0
121
Discovering new materials and drugs typically involves a manual, trial-and-error process that can take decades and cost millions of dollars. To streamline this process, scientists often use machine learning to predict molecular ...
Molecular & Computational biology
Jul 7, 2023
0
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