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 ...

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 ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

The AI-driven fund has seen higher annual returns across a 10-year period compared with an industry benchmark, per the firm.

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, innovatively launches a quantum-enhanced deep convolutional neural network image 3D reconstruction ...

A new fingerprint matching algorithm developed by Precise Biometrics delivers significantly higher accuracy, along with stronger security and easier use.

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

The nouns "neural network", "AI" (artificial intelligence), "industrial", "algorithms", "technologies" and "data" became the most popular in 2025. Nikita Gusev, rector of the Pushkin Institute of the ...