X-ray tomography is a powerful tool that enables scientists and engineers to peer inside of objects in 3D, including computer ...
TDK's recently created group company, TDK AIsight will address the intersection of physical and generative AI, enabling the ...
Calculations show that injecting randomness into a quantum neural network could help it determine properties of quantum ...
AI systems may not need vast amounts of training data to begin behaving more like the human brain, according to new research ...
MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...
High school sophomore Abigail Merchant has made it her mission to use technology to reduce flood-related deaths. The ...
Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
Did you know that most of the clean, studio-quality videos you see online today aren’t shot in studios? They are the result of incredibly smart AI working beh ...
Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...
Abstract: Convolutional Neural Networks (CNNs) are one of the most important and successful algorithmic architectures in deep learning, especially effectively in processing data with a grid-like ...
TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...
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