Software-defined ISP replaces fixed hardware with neural networks, promising real-time image quality gains and over-the-air ...

Multifunction radar systems have evolved to perform a host of tasks from surveillance to target tracking, realising complex electronic support measures with high precision. At the heart of these ...

Neuroscientists have been trying to understand how the brain processes visual information for over a century. The development ...

Beijing, Jan. 05, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning ...

If you would like to know more about the term you may have heard in science-fiction films and more recently associated with artificial intelligence. This quick guide will give you overview of what a ...

What are spiking neural networks (SNNs)? Why the Akida Pico neural processing unit (NPU) can use so little power to handle machine-learning models. Why neuromorphic computing is important to ...

AI neural networks, inspired by the human brain are a foundational technology in the field of artificial intelligence. They are designed to recognize patterns and make decisions with a level of ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...

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 ...

Neural processing unts (NPUs) are the latest chips you might find in smartphones and laptops — but what are they ard why are they so important? When you purchase through links on our site, we may earn ...

How does the brain manage to catch the drift of a mumbled sentence or a flat, robotic voice? A new study led by researchers at Reichman University's Baruch Ivcher School of Psychology and the Dina ...