A new study led by researchers from the Yunnan Observatories of the Chinese Academy of Sciences has developed a neural network-based method for large-scale celestial object classification, according ...
Researchers in China have developed an error-aware probabilistic update (EaPU) method that dramatically improves the ...
In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...
A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...
As artificial intelligence (AI) technology advances, the inherent limitations of conventional electronic processors in energy consumption and processing latency have become increasingly prominent.
BingoCGN employs cross-partition message quantization to summarize inter-partition message flow, which eliminates the need for irregular off-chip memory access and utilizes a fine-grained structured ...
AI systems now operate on a very large scale. Modern deep learning models contain billions of parameters and are trained on ...
The drive for artificial intelligence adoption echoes through boardrooms and development teams across virtually every industry. Fueled by the promise of transformative operational efficiencies and new ...
Accurate prediction of breakthrough extruding force is very important for extrusion production, especially for the large-scale extrusion process, which directly affects the production costs and safety ...
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