News & Events
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AnalogML
Myth #3: AnalogML™ extends battery life at the expense of wake word accuracy
How do newer, lower-power system architectures that rely on analog sound data to activate the WWE manage preroll to maintain wake word accuracy? They can't - EXCEPT for those using the analogML core. 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
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
The Digital Future Depends on Analog
The plateau of Moore's law doesn't mean that progress in edge processing capability is coming to an end. It just means that we need a new solution that relies not only on digital, but that also leverages the many benefits of analog. Read more
Aspinity Joins STMicroelectronics Partner Program
Aspinity aligns with leader in high-performance microcontrollers to support extended battery life in IoT devices Read more