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This groundbreaking research conducted by Tencent and the team of Lin Heng and Xu Zhongwen from Tsinghua University was published in August 2025 on the computer science preprint ... with various ...
This groundbreaking research conducted by Tencent and the team of Lin Heng and Xu Zhongwen from Tsinghua University was ...
This study presents valuable computational findings on the neural basis of learning new motor memories without interfering with previously learned behaviours using recurrent neural networks. The ...
The new data lakehouse is billed as a single platform for multiple use cases including transactional, agentic, decision ...
Simiyu, G. W. and Mwatelah, J. (2025) Mapping Water Quality Using Remote Sensing Technology: A Case Study of Lake Victoria. Journal of Geoscience and Environment Protection, 13, 225-252. doi: ...
This study presents valuable computational findings on the neural basis of learning new motor memories and the savings using recurrent neural networks. The evidence supporting the claims of the ...
The new science of “emergent misalignment” explores how PG-13 training data — insecure code, superstitious numbers or even extreme-sports advice — can open the door to AI’s dark side.
With different principles, support vector machines (SVMs) and multiple classifier systems (MCSs) have shown excellent performances for classifying hyperspectral remote sensing images. In order to ...
Discrimination problems are of significant interest in the machine learning literature. There has been growing interest in extending traditional vector-based machine learning techniques to their ...
About the Program If you're ready to unlock the power of data to solve real-world problems, join a small group of driven peers in Case Western Reserve University 's Master of Science in Data Science ...
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