Biologically plausible learning now reaches 96.7% on MNIST and 61.7% on CIFAR-10 without backpropagation, as Sakana AI ...

With its ultra high speed, low power consumption, and large scale parallel processing capabilities, photonic neural networks have emerged as a next generation disruptive computing paradigm. Over the ...

The implications of new AI voice research go beyond user experience to making AI more efficient, which could change the industry and significantly reduce carbon footprints. University of Virginia ...

Abstract: An artificial intelligence deep learning algorithm is proposed to analyze a dual-polarized high-isolation antenna effectively. The method is a building model of multi-input target ...

Abstract: Fractional-order derivatives have the potential to improve the performance of backpropagation (BP) neural networks. Several studies have found that the fractional-order gradient learning ...

This is the professional implementation in C++ of the book Modern Computational Finance: AAD and Parallel Simulations by Antoine Savine. The code is freely available to anyone. Any person who ...

The earliest medicine known to man was plants with active compounds that help alleviate pain, reduce fever, fight diseases, etc. To this day, pharmacobotany is a very important field of modern ...

AI is the big umbrella; ML is how it learns; deep learning is powerful learning with neural networks; generative AI is AI that creates ...

by Benoit Liquet, Sarat Moka and Yoni Nazarathy This book provides a complete and concise overview of the mathematical engineering of deep learning. In addition to overviewing deep learning ...