AML100 General Description
The AML100 extends battery life by up to 20x over traditional digital always-on systems. As the first product in Aspinity’s analog machine learning (analogML™) core family, the AML100 is the only machine learning chip to intelligently reduce the amount of data that moves through the always-on system while the data are still analog. It keeps the higher-power digital components asleep unless important data are detected. By performing machine learning in analog, the AML100 eliminates the digitization, digital processing, and transmission of irrelevant noise, reducing always-on system power by >95% to unlock the potential of thousands of new applications running on battery.
Features
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World’s first fully analog machine learning chip
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Processes natively analog data
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Uses near-zero power to inference and to detect events
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Consumes <20μA when always-sensing
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Intelligently reduces analog data by 100x
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Supports up to 4 analog sensors
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Easy to integrate into current digital architectures
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7mm x 7mm 48-pin QFN package