Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...
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 ...
New research from the University of St Andrews, the University of Copenhagen and Drexel University has developed AI computational models that predict the degeneration of neural networks in amyotrophic ...
The model’s release comes five years after DeepMind introduced its seminal AlphaFold neural network. The latter algorithm can ...
Google's Genie generates infinite interactive worlds from text. The secret? AI models compress reality's rules into ...
Human memory and attention are core cognitive functions that shape perception, learning, and decision-making. And whilst decades of research have provided ...
Kimi has a standard mode and a Thinking mode that offers higher output quality. Additionally, a capability called K2.5 Agent ...
Neural network models that are able to make decisions or store memories have long captured scientists' imaginations. In these models, a hallmark of the computation being performed by the network is ...
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 ...
Across the physical world, many intricate structures form via symmetry breaking. When a system with inherent symmetry ...
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