Science Daily

Training algorithm breaks barriers to deep physical neural networks

Researchers have developed an algorithm to train an analog neural network just as accurately as a digital one, enabling the development of more efficient alternatives to power-hungry deep learning ...

ZAC Cognitive Explainable-AI for Situational Awareness recognized as far superior algorithm to achieve Self-Driving Level-5 than Neural Nets

Z Advanced Computing, Inc. (ZAC), the pioneer CognitiveExplainable-AI (Artificial Intelligence) (Cognitive XAI or CXAI) software startup, has been recognized as far superior to the current algorithms ...
Risk.net

Robust financial calibration: a Bayesian approach for neural stochastic differential equations

This paper offers a Bayesian framework for the calibration of financial models using neural stochastic differential equations ...
CERN Courier

Neural networks boost B-tagging

The LHCb collaboration developed an inclusive deep-learning flavour tagger for neutral B-mesons, improving tagging power by ...

WiMi Studies Hybrid Quantum-Classical Convolutional Neural Network Model

(NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that they are actively exploring a shallow hybrid quantum-classical ...
pv magazine International

Detecting PV module defects at a single glance

Scientists in China have developed a new deep learning model based on the so-called "You Only Look Once" algorithm, which requires only one forward propagation pass through the neural network to make ...