Arteris Articles

Semiconductor Engineering: Spiking Neural Networks: Research Projects or Commercial Products?

Michael Frank, fellow and chief architect at Arteris IP is quoted in this new Semiconductor Engineering article:

Spiking Neural Networks: Research Projects or Commercial Products?

May 18th, 2020 - By Byron Moyer

Opinions differ widely, but in this space that isn't unusual.
SNN neurons typically are implemented in one of two ways. The approaches are motivated by analog implementations, although they can be abstracted into digital equivalents.  Arteris IP   fellow and chief architect Michael Frank refers to this as “emulation.” He points to several challenges for an analog implementation: “With analog, you would need to customize the model to the specific chip for inference. No two transistors are the same. And at 7 nm, you can’t do analog.”
Topics: analog SoC automotive neural networks NoC technology semiconductor engineering emulation noc interconnect IP market SNN multi-cast spike data

IP Subsystems Are Nothing New

As featured in:
I’ve been hearing the term “IP subsystem” lately, and it seems to be the latest newfangled buzz word in the SoC semiconductor and IP industry, second only to “virtualization.” Much of the context for this growing interest in IP subsystems has been inspired from the work of Rich Wawrzyniak in his Semico Research report, “IP Subsystems: The Next IP Market Paradigm – October 2010.”

Topics: IP subsystems Semico ARC analog software TI OMAP