After the COVID-19 pandemic caused a massive increase in remote work, the demand for virtual backgrounds skyrocketed, so improving them has been one of Banuba’s top priorities. You can see them ...

Nanoparticle neural network (NNN) for a functionally complete 3-input system. The system can be represented with a multi-layer perceptron diagram with three layers (input, hidden and output layers ...

The architecture proposed by St. Petersburg State University physicists belongs to the class of Binary Neural Networks (BNN) working with binary input and output signals of neurons. Unlike traditional ...

But despite a string of successes, humans just can’t understand how networks built on these MLPs arrive at their conclusions, or whether there may be some underlying principle that explains those ...

A new neural-network architecture developed by researchers at Google might solve one of the great challenges for large language models (LLMs): extending their memory at inference time without ...

Neural networks show potential for identifying gamma rays detected by the Cherenkov telescope array by Simone Ulmer, Swiss National Supercomputing Centre A prototype of a CTA telescope at La Palma.

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, they are researching CV-QNN (Continuous Variable Quantum Neural Networks) technology, with the ...