News and Events

Aspinity Blog

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

Myth #2: AnalogML™ replaces my favorite DSP/MCU

Myth #2: AnalogML™ replaces my favorite DSP/MCU

Read the second installment of our 5 Myths about AnalogML blog series, which addresses the most common misconceptions about the analogML core. Read more

5 Myths About AnalogML™

5 Myths About AnalogML™

How is an analogML core different from analog-in-memory computing? Read on to find out. Read more

Join our Mailing List

Keep up with the exciting news at Aspinity. Join our mailing list to receive our newsletter and our other latest news.