EPFL researchers have developed a novel AI-driven model designed to predict protein sequences from backbone scaffolds, incorporating complex molecular environments. It promises significant advancements in protein engineering ...
Biotechnology
Aug 7, 2024
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2
Fluorescence microscopy is a cornerstone of modern biological imaging, allowing scientists to study cells and their processes in real time. However, limitations in resolution and noise levels can hinder the clarity and detail ...
Biotechnology
Aug 7, 2024
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0
An Arkansas researcher has developed the first high-resolution forest canopy cover dataset for an entire state, providing valuable insights for forest management and conservation to a major economic sector in Arkansas.
Plants & Animals
Aug 7, 2024
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0
In materials science, substances are often classified based on defining factors such as their elemental composition or crystalline structure. This classification is crucial for advances in materials discovery, as it allows ...
Analytical Chemistry
Aug 6, 2024
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0
Modern astronomy would struggle without AI and machine learning (ML), which have become indispensable tools. They alone have the capability to manage and work with the vast amounts of data that modern telescopes generate. ...
Planetary Sciences
Aug 6, 2024
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11
Researchers have been studying the industrial production of ammonia for a century. But they've struggled to find ways to improve the low-yield, low-efficiency process.
Analytical Chemistry
Aug 5, 2024
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43
When a robotic rover lands on another world, scientists have a limited amount of time to collect data from the troves of explorable material, because of short mission durations and the length of time to complete complex experiments.
Space Exploration
Aug 5, 2024
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2
Environmental biology researchers at the National University of Singapore (NUS) have developed an efficient method for rapidly identifying and classifying human activities within nature reserves at the global level, using ...
Ecology
Aug 5, 2024
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22
A team of researchers led by Professor Xie Chengjun and Associate Professor Zhang Jie at the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, have developed an innovative Decoupled Feature Learning ...
Plants & Animals
Aug 2, 2024
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0
In Light: Science & Applications journal UCLA researchers introduce an innovative design for diffractive deep neural networks (D2NNs). This new architecture, termed Pyramid-D2NN (P-D2NN), achieves unidirectional image magnification ...
Optics & Photonics
Aug 1, 2024
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