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Power Intelligence for Sustainable Always-on AI

Power Intelligence for Sustainable Always-on AI

Learn why power intelligence requires a new way of thinking about how always-on devices manage data and why its so important for a sustainable future. Read more

Tiny Machine Learning Happens in Analog

Tiny Machine Learning Happens in Analog

Join Aspinity at the upcoming tinyML Summit and learn more about the inner workings of an Aspinity analogML chip. 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

Myth #4: CMOS Process Variations Make AnalogML™ Unpredictable

Myth #4: CMOS Process Variations Make AnalogML™ Unpredictable

How does analogML™ overcome the repeatability challenges associated with analog process variation? Read our latest installment of our 5 Myths about AnalogMl™ series to find out. Read more

Myth #3: AnalogML™ extends battery life at the expense of wake word accuracy

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

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