NASA astronomers used AI to examine Hubble Legacy Archive data, identifying over 1,300 unusual galaxies and other anomalies, including gravitational lenses and mergers.
The language used to describe conflicts naturally reflects assumptions about how different forms of violence emerge and ...
A relatively simple statistical analysis method can more accurately predict the risk of landslides caused by heavy rain, ...
Using a brand new data analysis tool, astronomers identified more than 800 strange and previously undocumented space objects.
To optimize the data structure and enhance your data retrieval and analysis efficiency, we will adjust the classification hierarchy of "Magnesium" data in our Database Pro, effective from February 1, ...
A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral analysis and SVM classification, the approach improves ...
Market growth is driven by industrial automation, predictive maintenance demand, AI/ML analytics adoption, IoT integration, and the need to reduce downtime and operational costs.Austin, Jan. 27, 2026 ...
A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...
A stronomers have used artificial intelligence (AI) to find hundreds of "anomalies" in data from the Hubble Telescope. More ...
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Astronomers uncover hundreds of new 'anomalies' in Hubble telescope archives
AI helped researchers probe the Hubble Space Telescope's archive to find strange celestial objects, including some ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...
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