For more than eighty years, deep learning has relied on a simplified model of brain function. The 1943 McCulloch-Pitts model of the neuron fueled breakthroughs in image recognition, speech synthesis ...

The rapid advancement of artificial intelligence (AI) and machine learning systems has increased the demand for new hardware components that could speed up data analysis while consuming less power. As ...

USC researchers built artificial neurons that replicate real brain processes using ion-based diffusive memristors. These devices emulate how neurons use chemicals to transmit and process signals, ...

Scientists have developed a new kind of laser-based artificial neuron that mimics a biological nerve cell. This artificial neuron could boost high-speed computing and artificial intelligence (AI), ...

Researchers developed a chip-based quantum-dot laser that emulates a biological graded neuron while achieving a signal processing speed of 10 GBaud. WASHINGTON — Researchers have developed a ...

An integrated spiking artificial neuron, with rich neuron functionality, single-transistor footprints, and low energy consumption for neuromorphic computing systems, can be created by stacking one ...

Although deep learning–based image recognition technology is rapidly advancing, it still remains difficult to clearly explain the criteria AI uses internally to observe and judge images. In particular ...

Although deep learning–based image recognition technology is rapidly advancing, it still remains difficult to clearly explain the criteria AI uses ...

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...