Researchers at the University of Tokyo show that a single recurrent spiking neural network can learn event identity, timing, ...

A new theoretical framework trains neural networks natively on the Leech lattice, compressing weights to 0.76 bits per ...

Researchers at the Center for Nanomedicine within the Institute for Basic Science (IBS) and Yonsei University in South Korea have unveiled a technology that can manipulate specific regions of the ...

SHENZHEN, China, March 17, 2025 /PRNewswire/ -- MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, they are researching CV-QNN (Continuous Variable ...

Digital computing using silicon chips has transformed nearly every aspect of modern life and enabled the remarkable growth of artificial intelligence. But as AI models scale up, that growth comes with ...

Harvard affiliates developed a silicon chip that successfully mapped more than 70,000 synaptic connections from 2,000 rat neurons, advancing a new recording technology to complement existing neural ...

The simplified approach makes it easier to see how neural networks produce the outputs they do. A tweak to the way artificial neurons work in neural networks could make AIs easier to decipher.

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy inefficiency in power amplifiers for next-generation wireless communication.

NVIDIA has announced significant advancements in its RTX neural rendering technologies ahead of the Game Developers Conference, in partnership with Microsoft to incorporate neural shading into the ...

Syrup Tech wants to help fashion brands and retailers add something sweet to their bottom lines, not just to their pancakes. The New York-based technology company announced Tuesday it has launched a ...

DLSS 5 really does work like an AI filter, and the source code proves it ...