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Edge processing

Does analog have a place in the machine learning world?

Does analog have a place in the machine learning world?

Majeed Ahmad explains how analog is playing an important role in battery-operated always-on sensing devices Read more

Myth #5: AnalogML™ is just for machine learning applications

Myth #5: AnalogML™ is just for machine learning applications

AnalogML™ is not just an ultra low-power analog neural network, but has other sophisticated analog processing functionality that together reduce power, size, and cost in always-on endpoints. Read more

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

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