Scaling the Next Generation AnalogML™: The AML200
AnalogML is moving to 22nm to deliver the AML200, the only edge AI processor to deliver TOPS level performance in a battery-operated power footprint. Find out more about the AML200.
AnalogML is moving to 22nm to deliver the AML200, the only edge AI processor to deliver TOPS level performance in a battery-operated power footprint. Find out more about the AML200.
Aspinity’s high-precision analog memory is the key to overcoming the challenges typically associated with analog computing. Find out why in our latest blog.
Analog computing is all the rage these days. But what does the term actually mean? Well, that depends. Read on to learn more.
Think it’s impossible to achieve high accuracy and long battery life? Think again. Read our latest blog article to understand why it’s so difficult and how Aspinity overcomes the hurdles.
Learn how the AML100 enables new monitoring capabilities for home security systems without requiring new system components, or draining the batteries of existing ones.
Learn why power intelligence requires a new way of thinking about managing data and why its so important for a sustainable future.
AnalogML is not just an ultra low-power analog neural network, but has other sophisticated analog processing functionality
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.
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 the second installment of our 5 Myths about AnalogML blog series, which addresses the most common misconceptions about the analogML core.
AnalogML is moving to 22nm to deliver the AML200, the only edge AI processor to deliver TOPS level performance in a battery-operated power footprint. Find out more about the AML200.
Aspinity’s high-precision analog memory is the key to overcoming the challenges typically associated with analog computing. Find out why in our latest blog.
Analog computing is all the rage these days. But what does the term actually mean? Well, that depends. Read on to learn more.
Think it’s impossible to achieve high accuracy and long battery life? Think again. Read our latest blog article to understand why it’s so difficult and how Aspinity overcomes the hurdles.
Learn how the AML100 enables new monitoring capabilities for home security systems without requiring new system components, or draining the batteries of existing ones.
Learn why power intelligence requires a new way of thinking about managing data and why its so important for a sustainable future.
AnalogML is not just an ultra low-power analog neural network, but has other sophisticated analog processing functionality
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.
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 the second installment of our 5 Myths about AnalogML blog series, which addresses the most common misconceptions about the analogML core.