The authors point out that quantum computers are still plagued by high gate error rates, low qubit counts, and extremely slow ...

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

(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 ...

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 ...

Neural networks are algorithmic systems created based on the principle of the human nervous system. They consist of many ...

Researchers at the University of Pennsylvania have developed a powerful new optical chip that can process almost 2 billion images per second. The device is made up of a neural network that processes ...

In the realm of search engines, there’s a holy grail. Think human intelligence, as if you were telling your question to a friend—but the friend exists through the computer screen and in the digital ...