You can now download the source code that sparked the AI boom
On Thursday, Google and the Computer History Museum (CHM) jointly released the source code for AlexNet, the convolutional ...
Devdiscourse11h
AI in medicine gets a boost from synthetic data, but only the smart kind
Synthetic medical data, typically used to address privacy restrictions or to balance underrepresented cases in training data, ...
AI4Beginners (English) on MSN5d
Enhancing Network Reliability and Efficiency with AI-Driven Maintenance Algorithms
Network infrastructure is one of the key requirements for digital connectivity as it enables seamless communication, t ...
AZoAI on MSN1d
NdLinear Reinvents Neural Layers To Boost Accuracy And Slash Parameters In AI Models
A new study proposes NdLinear, a multi-dimensional linear layer that preserves data structure and slashes parameter counts ...
Mirage News4d
Geoffrey Hinton's Neural Net Preserved by Museum
The source code for AlexNet - the neural network developed at the University of Toronto that kickstarted today's artificial intelligence boom and led ...
BBN Times14d
Deep Learning in Fertility: Pioneering the Future of Reproductive Medicine
Advancements in technology have transformed various facets of healthcare, and the field of reproductive medicine is no ...
Tech Xplore on MSN7d
Combining photonic neural networks with distributed acoustic sensing for infrastructure monitoring
Distributed acoustic sensing (DAS) systems represent cutting-edge technology in infrastructure monitoring, capable of ...
Gameranx8d
Rumor: Nintendo May Level Up Switch 2 Upscaling, By Adding Convolutional Neural Networks
Nintendo has updated their upscaling patent application by indicating they could use convolutional neural networks.
eLife14d
Exploring the repository of de novo-designed bifunctional antimicrobial peptides through deep learning
Peptides designed by artificial intelligence restrict both drug-resistant bacteria and rapidly evolving viruses.
Scientific Research Publishing7d
Predicting Categories and Ingredients of Traditional Dishes Using Deep Learning and Cross-Attention Mechanism ()
Predicting Categories and Ingredients of Traditional Dishes Using Deep Learning and Cross-Attention Mechanism. Open Access Library Journal, 12, 1-12. doi: 10.4236/oalib.1112846 . Image recognition and ...