NUS mathematicians have developed a new theoretical framework based on dynamical systems to understand when and how a deep neural network can learn arbitrary relationships.
Mathematics
Sep 14, 2022
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17
Invasive plant species do more than harm agriculture and native species as they reshape landscapes. They also cause economic losses of more than $20 billion annually in the U.S. alone. Identifying where and how quickly invasive ...
Ecology
Aug 10, 2022
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14
All living organisms use proteins, which encompass a vast number of complex molecules. They perform a wide array of functions, from allowing plants to use solar energy for oxygen production to helping your immune system fight ...
Molecular & Computational biology
Jan 6, 2022
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5
With the onset of the 4th industrial revolution, artificial intelligence has recently been utilized in smartphone cameras, providing functions such as auto-focusing, face recognition, and 100x zoom, to dramatically improve ...
Materials Science
Jun 10, 2021
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4
A deep spatiotemporal neural network trained on more than 36,000 earthquakes offers a new way of quickly predicting ground shaking intensity once an earthquake is underway, researchers report at the Seismological Society ...
Earth Sciences
Apr 23, 2021
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41
Optical microscopes are frequently used in biomedical sciences to reveal fine features of a specimen, such as human tissue samples and cells, forming the backbone of pathological imaging for disease diagnosis. One of the ...
Optics & Photonics
Jan 25, 2021
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8
Can combining deep learning (DL)—a subfield of artificial intelligence—with social network analysis (SNA), make social media contributions about extreme weather events a useful tool for crisis managers, first responders ...
Environment
Jan 19, 2021
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6
The role of deep learning in science is at a turning point, with weather, climate, and Earth systems modeling emerging as an exciting application area for physics-informed deep learning that can more effectively identify ...
Earth Sciences
Sep 4, 2020
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10
Computer systems that emulate key aspects of human problem solving are commonly referred to as artificial intelligence (AI). This field has seen massive progress over the last years. Most notably, deep learning enabled groundbreaking ...
Biotechnology
Aug 4, 2020
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31
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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