Machine learning & AI
Deep learning modeling that incorporates physical knowledge is currently a hot topic, and a number of excellent techniques have emerged. The most well-known one is the physics-informed neural networks (PINNs).
Feb 23, 2024
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Security
In a world where you can create a virtual clone of a person in a matter of minutes, how do we know what's real? It may sound like dystopian science fiction, but deepfakes are a reality causing serious social, financial and ...
Feb 10, 2024
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Robotics
Our built environment is aging and failing faster than we can maintain it. Recent building collapses and structural failures of roads and bridges are indicators of a problem that's likely to get worse, according to experts, ...
Jan 30, 2024
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Automotive
Conventional search and rescue operations after major disasters face many problems. A team from Malaysia writing in the International Journal of Vehicle Autonomous Systems, now suggests a practical solution that involves ...
Jan 26, 2024
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Computer Sciences
A research team from Purdue University's Department of Computer Science and Institute for Digital Forestry, with collaborator Sören Pirk at Kiel University in Germany, has discovered that artificial intelligence can simulate ...
Jan 22, 2024
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Computer Sciences
Researchers led by Prof. Xie Chengjun and Associate Prof. Zhang Jie at the Hefei Institutes of Physical Science of the Chinese Academy of Sciences have developed a novel deep learning-based method for satellite imagery.
Jan 18, 2024
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Computer Sciences
In today's increasingly interconnected world, high-quality communication has become more vital than ever. Accurately estimating the dynamic status of communication channels is a key factor in achieving this. Recently, a joint ...
Jan 18, 2024
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Computer Sciences
Recent numerical studies investigating neural networks have found that solutions typically found by modern machine learning algorithms lie in complex extended regions of the loss landscape. In these regions, zero-energy paths ...
Machine learning & AI
Uncertainty estimation is critical to improving the reliability of deep neural networks. A research team led by Aydogan Ozcan at the University of California, Los Angeles, has introduced an uncertainty quantification method ...
Jan 16, 2024
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Computer Sciences
When artificial intelligence models pore over hundreds of gigabytes of training data to learn the nuances of language, they also imbibe the biases woven into the texts.
Jan 15, 2024
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