The Lp-Convolution technique enhances AI image recognition, mimicking brain processes to improve accuracy and efficiency while reducing computational demands.

Ceva, the leading licensor of silicon and software IP that enables Smart Edge devices to connect, sense and infer data more reliably and efficiently, announced that Nextchip has licensed the NeuPro-M ...

A team of researchers from the Institute for Basic Science, Yonsei University, and the Max Planck Institute have developed a ...

Researchers from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences have developed a neural network model based on self-attention mechanisms to rapidly predict radiation ...

Neural networks are one typical structure on which artificial intelligence can be based. The term "neural" describes their ...

Concerns about AI's energy use have a lot of people looking into ways to cut down on its power requirements. Many of these ...

This research introduces a federated hybrid TSC method that combines image-based time series representation techniques with Convolutional Neural Networks (CNNs) in a decentralized framework.

Abstract: Salient and small lesions (e.g., microaneurysms on fundus) both play significant roles in real-world disease diagnosis under medical image examinations. Although deep neural networks (DNNs) ...