The LHCb collaboration developed an inclusive deep-learning flavour tagger for neutral B-mesons, improving tagging power by ...
Near-infrared (NIR) photon detection and object recognition are crucial technologies for all-weather target identification.
The experimental model won't compete with the biggest and best, but it could tell us why they behave in weird ways—and how ...
(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 ...
Discover the role of optimizers in deep learning! Learn how algorithms like SGD, Adam, and RMSprop help neural networks train ...
The ability to respond to changing surroundings was once considered exclusive to complex living organisms. Then came ...
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 ...
Yann LeCun, one of the most influential figures in artificial intelligence (AI) today, has informed colleagues he plans to ...
Recently, a research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has developed a ...
This paper offers a Bayesian framework for the calibration of financial models using neural stochastic differential equations ...
The TRM takes a different approach. Jolicoeur-Martineau was inspired by a technique known as the hierarchical reasoning model ...