Home; Articles; Design of spike-timing-dependent plasticity synapses based on CoPt-SOT device and its application in all-spin spiking neural network ...

While neural networks (also called “perceptrons”) have been around since the 1940s, it is only in the last several decades where they have become a major part of artificial intelligence.This ...

An spiking neural network (SNN) classifier is an attractive option for ultra-low-power intelligent internet-of-things (IoT ... Wang D, Kim SJ, Yang M, Cerqueira JP, Kang J, Jung S, Kim S and Seok M ...

Language models typically use modern deep learning methods called neural networks, but Eshraghian is powering a language model with an alternative algorithm called a spiking neural network (SNN). He ...

‘Spike’ comedy comes down pike for network. Spike TV has picked up a comedic action series titled "Wild World of Spike." By Kimberly Nordyke, The Associated Press. October 9, 2006 5:00am ...

One type of neural net with rising popularity is the generative adversarial neural network, or GAN. GANs are another evolution of artificial intelligence, frequently used to alter or generate images.

Spike, which started off as the Nashville Network and later became TNN, changed its moniker to Spike TV and then Spike in 2003, signaling its focus on male-oriented programming.

Creating an optimized neural network architecture is crucial for achieving high performance. “I think it’s going to continue with the trend toward larger models, but more and more they will be ...

Inspired by microscopic worms, Liquid AI’s founders developed a more adaptive, less energy-hungry kind of neural network. Now the MIT spin-off is revealing several new ultraefficient models.