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Edge processing

Strategies for power efficient machine learning at the edge

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)

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

Analog Machine Learning Drives Near-Zero-Power Acoustic Event Detection

Analog Machine Learning Drives Near-Zero-Power Acoustic Event Detection

Announcing our new acoustic event detection evaluation kit using the analogML core Read more

The Digital Future Depends on Analog

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 Joins STMicroelectronics Partner Program

Aspinity aligns with leader in high-performance microcontrollers to support extended battery life in IoT devices Read more

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