In the ever-evolving world of artificial intelligence, deep neural networks (DNNs) have revolutionized data processing, offering unparalleled accuracy across various ...
The authors point out that quantum computers are still plagued by high gate error rates, low qubit counts, and extremely slow ...
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 ...
A research team led by Dr. WANG Liping from the Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences, has conducted a detailed study of spontaneous behavior during the food ...
In a landmark study released today, artificial intelligence (AI) has been used to reveal over a thousand previously hidden ...
The LHCb collaboration developed an inclusive deep-learning flavour tagger for neutral B-mesons, improving tagging power by ...
Early detection of ovarian cancer, the deadliest gynecologic cancer, is crucial for reducing mortality. Current noninvasive risk assessment measures include protein biomarkers in combination with ...
Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...