The statistical relationship between average shortest path length (ASPL), Gradient-Resistance(GR) and average output-neuron parameters usage (AOPU). We calculated three values on 64-node, 4-degree ...

There are 200 training items and 40 test items. The synthetic data was programmatically generated using a 6-10-1 neural ...

A Port network is a dynamic network, and its structure changes continuously with time. Therefore, to effectively utilize the information of the dynamic network and improve the prediction efficiency as ...

From writing and typing to playing a musical instrument or mastering a sport, learning movement-based tasks is one of the ...

Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=19 ...

A new interdisciplinary study by researchers from the Ruth and Bruce Rappaport Faculty of Medicine and the Andrew and Erna ...

A Convolutional Neural Network (CNN) represents a sophisticated advancement in artificial intelligence technology, specifically designed to process and analyze visual information. These specialized ...

Yann LeCun, Meta's chief AI scientist and one of the pioneers of artificial intelligence, believes LLMs will be largely ...

Bo Wang is a renowned AI scientist at the University of Toronto. He’s bringing his open-source culture and computational ...

AI systems already work their magic in many areas of biomedical science, helping to solve protein structure, discover hidden ...

Research team designed PBCounter, a weighted model counting solver for pseudo-Boolean formulas. It uses variable elimination and dynamic programming with ADDs, outperforming state-of-the-art CNF-based ...