Researchers have developed photonic computing chips that overcome key limitations for a type of neural network known as a ...

More than two decades ago, neural networks were widely seen as the next generation of computing, one that would finally allow computers to think for themselves. Now, the ideas around the technology, ...

Researchers at the Lawrence Berkeley National Laboratory have developed a design and training framework ...

Researchers generated images from noise, using orders of magnitude less energy than current generative AI models require.

Photonic neural network systems, which are fast and energy efficient, are especially helpful for dealing with large amounts of data. To advance photonic brain-like computing technologies, a group of ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released a core quantum machine learning technology oriented toward sequential learning tasks—the ...

The human brain begins learning through spontaneous random activities even before it receives sensory information from the external world. The technology developed by the KAIST research team enables ...

A team of researchers at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) have developed an ionic circuit comprising hundreds of ionic transistors and performed a core ...

In this episode of Inside Electronics, Senior Content Director and Editor of Electronic Design, Bill Wong, chats with Steve Brightfield, Chief Marketing Officer at BrainChip, about neuromorphic ...

A new type of neural network that’s capable of adapting its underlying behavior after the initial training phase could be the key to big improvements in situations where conditions can change quickly ...