Researchers at the University of California, Irvine have developed a new mathematical machine-intelligence-based technique that spatially delineates highly complicated cell-to-cell and gene-gene interactions. The powerful ...
Molecular & Computational biology
May 1, 2020
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10
Nowadays, artificial neural networks have an impact on many areas of our day-to-day lives. They are used for a wide variety of complex tasks, such as driving cars, performing speech recognition (for example, Siri, Cortana, ...
General Physics
Mar 9, 2020
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54
As machine learning continues to surpass human performance in a growing number of tasks, scientists at Skoltech have applied deep learning to reconstruct quantum properties of optical systems.
Quantum Physics
Feb 13, 2020
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118
Proteins are often called the working molecules of the human body. A typical body has more than 20,000 different types of proteins, each of which are involved in many functions essential to human life.
Biotechnology
Jan 10, 2020
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7
The same technology that powers facial recognition and self-driving cars may soon help Maine's shellfish industry protect people from the dangerous effects of harmful algal blooms. A recent paper reports how researchers can ...
Ecology
Dec 19, 2019
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10
Detection of rare cells in blood and other bodily fluids has numerous important applications including diagnostics, monitoring disease progression and evaluating immune response. For example, detecting and collecting circulating ...
Optics & Photonics
Oct 8, 2019
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49
The same artificial intelligence technique typically used in facial recognition systems could help improve prediction of hailstorms and their severity, according to a new study from the National Center for Atmospheric Research ...
Environment
Aug 19, 2019
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15
Automated cameras and other sensors deployed in the wild are transforming the way biologists monitor natural ecosystems and animal populations. These technologies can collect huge amounts of data, however, and conservation ...
Ecology
Jul 31, 2019
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19
A deep learning-powered computational framework, 'DeepEC,' will allow the high-quality and high-throughput prediction of enzyme commission numbers, which is essential for the accurate understanding of enzyme functions.
Machine learning & AI
Jul 9, 2019
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0
Gossip is an efficient way to share information across large networks and has unexpected applications in solving other mathematical and machine-learning problems.
Machine learning & AI
Jul 8, 2019
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