The growing energy use of AI has gotten a lot of people working on ways to make it less power hungry. One option is to develop processors that are a better match to the sort of computational needs of ...

The two-chip system includes a 16-channel photonic neuromorphic chip with 272 trainable parameters, giving it the ability to process multiple streams of optical signals at once and adjust many ...

Assistant Professor of Electrical and Computer Engineering Jason Eshraghian. Four years ago, UC Santa Cruz’s Jason Eshraghian developed a Python library that combines neuroscience with artificial ...

How efficiently can we mimic biological spiking process of neurons and synapses, and is CMOS a good choice for neural networks? Artificial neural networks have found a variety of commercial ...

An artificial neural network (ANN) that is said to be more like the human neural system, on which today's AI systems are loosely modeled. Rather than each neuron sending out a continuous value, the ...

A new publication from Opto-Electronic Advances, 10.29026/oea.2023.230140 discusses photonic integrated neuro-synaptic core for convolutional spiking neural network. Brain science and brain-like ...

Language generators such as ChatGPT are gaining attention for their ability to reshape how we use search engines and change the way we interact with artificial intelligence. However, these algorithms ...