A research team from the Xi'an Institute of Optics and Precision Mechanics (XIOPM) of the Chinese Academy of Sciences, along with collaborators from the Institute National de la Recherche Scientifique ...

AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, ...

During his more than two decades with Nvidia, Rev Lebaredian has had a ringside seat to the show that has been the evolution of modern AI, from the ...

South Korean researchers have developed a guided-learning framework that accurately predicts PV power without requiring irradiance sensors during operation, using routine meteorological data instead.

Sure, here's the new description without any links: Cyberpunk 2077 Patch 2.21 - Native vs Convolutional Neural Networks vs ...

Researchers at The Hong Kong University of Science and Technology (HKUST) School of Engineering have developed a novel ...

Brookhaven National Laboratory have developed a novel artificial intelligence (AI)-based method to dramatically tame the ...

Abstract: Network Intrusion Detection Systems (NIDS) play a crucial role in IoT security. In recent years, deep learning-based intrusion detection systems have demonstrated excellent performance.

AI algorithms analyse complex medical images with speed and precision, supporting early disease detection.Radiology and ...

The interpretability of Convolutional Neural Networks (CNNs) has garnered significant attention in computer vision. Integrated Gradients (IG), as a widely used feature attribution method, quantifies ...

Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...

But this breakthrough doesn't stand alone; recent developments in plastic science and recycling include pyrolysis research to ...