DW-MTJ Devices For Noise-Resilient Networks For Neuromorphic Computing On The Edge

A technical paper titled "Stochastic domain wall-magnetic tunnel junction artificial neurons for noise-resilient spiking neural networks" was published by researchers at University of Texas at Austin. Abstract: "The spatiotemporal nature of neuronal behavior in spiking neural networks (SNNs) makes SNNs promising for edge applications that require high energy efficiency. To realize SNNs in har... » read more

How Much Data Can Be Pushed Through Copper Wires?

As the amount of digital data grows, so do requirements on the speed of the transmission at all levels of the transmission chain—between dies in a shared package, between packaged chips inside a device, and between devices. The communication channels encountered at every stage of this communication are different in nature. Those between dies in a shared package, or between packaged chips in a... » read more