Recently, a research team led by Prof. GAO Xiaoming from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, developed an intelligent neural network algorithm that effectively ...

Biologically plausible learning now reaches 96.7% on MNIST and 61.7% on CIFAR-10 without backpropagation, as Sakana AI demonstrates brain-faithful training on convolutional networks for the first time ...

SHENZHEN, China, July 30, 2026 (GLOBE NEWSWIRE) -- (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, launched a Deep Spiking Quantum Neural Network (DSQ-Net) for noisy image ...

Researchers from Spain’s Valencia Polytechnic University have developed a novel method for forecasting the power generation of PV systems. Its novelty lies in developing a hyperparameter optimization ...

With its ultra high speed, low power consumption, and large scale parallel processing capabilities, photonic neural networks have emerged as a next generation disruptive computing paradigm. Over the ...

The Heisenberg uncertainty principle puts a limit on how precisely we can measure certain properties of quantum objects. But researchers may have found a way to bypass this limitation using a quantum ...

BEIJING, June 29, 2026 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, announced that they ...

A machine-learning algorithm originally built to spot impact craters on Mars has been retrained on ocean-floor data, and the ...