In the News
Embedded Executive Podcast
Rich Nass speaks with Tom Doyle as he explains what analogML is, how it works, and why anyone should care. Read more
Strategies for power efficient machine learning at the edge
Power-efficiency at the edge is a huge challenge for always-on system designers. Read how analog is being used in several different ways to solve the problem and compare the methods to decide what is best for your application in this article by CEO Tom Doyle. Read more
Not All Analog Computing is Equal
Read our article in Embedded Computing Design to understand what designers need to know about the differences between analog in-memory computing and the analogML core. Read more
Awesome Analog Artificial Neural Networks (AANNs)
Max Maxfield talks about Aspinity's analogML core and the emergence of analog as an important component of machine learning at the edge. Read more
Podcast: The World According to Analog
Amelia Dalton interviews Aspinity for her EE Journal Fish Fry podcast to learn why analog is critical for the digital future. Read more