Scientists used a neural network, a type of brain-inspired machine learning algorithm, to sift through large volumes of particle collision data. Particle physicists are tasked with mining this massive and growing store of ...
General Physics
Apr 15, 2024
0
264
Accurate extraction of phenotypic traits from image data is essential for cereal crop research, but spike detection in greenhouses is challenging due to the environmental and physical similarities between spikes and leaves. ...
Molecular & Computational biology
Mar 18, 2024
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15
Meeting the growing food demand is a significant challenge, exacerbated by weed-induced crop production constraints. Conventional weed management methods, such as herbicides, have inadvertently fostered the emergence of resistant ...
Biotechnology
Mar 18, 2024
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1
The Human Genome Project generated the first sequence of the human genome, revealing a kind of blueprint of human biology. Two decades later, the field of gene regulatory networks describes a complex system where thousands ...
Biotechnology
Mar 14, 2024
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37
Neural networks have been powering breakthroughs in artificial intelligence, including the large language models that are now being used in a wide range of applications, from finance, to human resources to health care. But ...
Mathematics
Mar 12, 2024
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231
Air pollution is a critical global health issue, demanding innovative monitoring solutions. Traditional methods, reliant on ground stations, are expensive and geographically limited, hindering comprehensive coverage. Recent ...
Environment
Mar 8, 2024
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1
When they are active, supermassive black holes play a crucial role in the way galaxies evolve. Until now, growth was thought to be triggered by the violent collision of two galaxies followed by their merger; however, new ...
Astronomy
Mar 5, 2024
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123
In the ever-evolving realm of microscopy, recent years have witnessed remarkable strides in both hardware and algorithms, propelling our ability to explore the infinitesimal wonders of life. However, the journey towards three-dimensional ...
Optics & Photonics
Feb 14, 2024
0
71
In the AI era, pure data-driven meteorological and climate models are gradually catching up with and even surpassing traditional numerical models. However, significant challenges persist in current deep learning models, such ...
Earth Sciences
Jan 22, 2024
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1
Biomedical engineers at Duke University have developed a new method to improve the effectiveness of machine learning models. By pairing two machine learning models, one to gather data and one to analyze it, researchers can ...
Biotechnology
Jan 19, 2024
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