Research shows Darwin and Wallace both right on butterfly evolution
Pioneering AI-powered research on butterflies has probed the under-studied evolution of females and adds to a debate between the founding fathers of evolution.
Pioneering AI-powered research on butterflies has probed the under-studied evolution of females and adds to a debate between the founding fathers of evolution.
Evolution
Jul 1, 2024
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In a world striving for sustainability, understanding the hidden half of a living plant—the roots—is crucial. Roots are not just an anchor; they are a dynamic interface between the plant and soil, critical for water uptake, ...
Plants & Animals
Jun 21, 2024
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159
To address the limitations of current computational super-resolution microscopy, a team of researchers at Zhejiang University has introduced a novel deep-physics-informed sparsity framework that significantly enhances structural ...
Optics & Photonics
Jun 21, 2024
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7
A collaborative research team has recently developed a new method for measuring glucose using deep learning technology. Their research was published in Laser & Photonics Reviews.
Optics & Photonics
Jul 2, 2024
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62
Many drug and antibody discovery pathways focus on intricately folded cell membrane proteins: when molecules of a drug candidate bind to these proteins, like a key going into a lock, they trigger chemical cascades that alter ...
Biotechnology
Jun 21, 2024
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39
Although there is the saying, "straight from the horse's mouth," it's impossible to get a horse to tell you if it's in pain or experiencing joy. Yet, its body will express the answer in its movements. To a trained eye, pain ...
Plants & Animals
Jun 21, 2024
0
8
A research team has developed LGNet, a dual-branch network that combines convolutional neural networks (CNNs) and visual transformers (VTs) for plant disease identification. LGNet effectively fuses local and global features, ...
Biotechnology
Jul 9, 2024
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Soybean is an agriculturally important legume rich in protein and oil, with breeders aiming to enhance yields through traits like seed weight, shape, and pod count. Current research leverages deep learning (DL) for high-throughput ...
Molecular & Computational biology
Jul 8, 2024
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0
A research team has developed the Point-Line Net, a deep learning method based on the Mask R-CNN framework, to automatically recognize maize field images and determine the number and growth trajectory of leaves and stalks. ...
Molecular & Computational biology
Jul 8, 2024
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A research team has developed a novel method combining computer vision and deep learning to phenotype drought-stressed poplar saplings, achieving 99% accuracy in variety identification and 76% accuracy in stress-level classification.
Molecular & Computational biology
Jul 9, 2024
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