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

Semiconductor Engineering: When Bugs Escape

Chirag Gandi, Director of Verification at Arteris IP, chats with Brian Bailey in this Semiconductor Engineering article:

When Bugs Escape


July 26th, 2018 - By Brian Bailey

Topics: SoC semiconductor semiconductor engineering arteris ip interconnects deadlocks emulation silicon RTL formal verification layered verification corner-case bugs