QNN, Continuous Variable Quantum Neural Networks, technology, with the aim of building Variational Quantum Circuits embedded in CV architecture. In this way, it is possible not only to quantumize ...

Google is delighted to contribute the source code for the groundbreaking AlexNet work to the Computer History Museum,” said Jeff Dean, chief scientist, Google DeepMind and Google Research. “This code ...

Deep neural networks can improve the quality of fluorescence microscopy images. Previous methods, based on Convolutional Neural Networks (CNNs), require time-consuming training of individual models ...

The monograph provides a complete picture of neural information retrieval techniques that culminate in supervised neural learning to rank models including deep neural network architectures that are ...

Spiking neural networks (SNNs) offer a promising energy-efficient alternative to artificial neural networks (ANNs), in virtue of their high biological plausibility, rich spatial-temporal dynamics, and ...

YouTuber Mark Rober drove a Tesla Model Y on Autopilot at a fake road wall and extreme rain and fog to test it against a ...

To address this bottleneck, Dunn and his team developed DANNCE, or 3-Dimensional Aligned Neural Network for Computational Ethology, in 2021. Using videos of freely moving rats, the team trained ...

As a result, there is a surge of interest in developing new deep learning techniques on graphs for a large number of NLP tasks. In this monograph, the authors present a comprehensive overview on Graph ...

Pouring another cup, I ask her what advice she'd most want to pass on to her grandkids. She pauses thoughtfully for a few ...

He’s now convinced that artificial neural networks can think, reason and understand the world in a way that could eventually be superior to our own brains. Professor Hinton joins Alok Jha ...