artificialintelligence-news.com, Feb. 16, 2022 –
Pittsburgh-based Aspinity has unveiled the first analog machine learning chip as part of its analogML family.
The chip, the AML100, is the industry's first analog tiny machine learning solution. In practice, that means always-on system power is reduced by 95 percent.
Key features:
- Consumes less than 20µA when always-sensing
- Intelligently reduces quantity of data by up to 100x while the data are still in analog
- Features field-programmable functionality to address a wide range of always-on applications
- Leverages patented analog compression technology for preroll collection to maintain accuracy of wake word engine in voice-enabled devices
- Supports 4 analog sensors in any combination (microphones, accelerometers, etc.)
- Available in 7mm x 7mm 48-pin QFN package
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