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AML100 bảng dữ liệu(PDF) 1 Page - List of Unclassifed Manufacturers |
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AML100 bảng dữ liệu(HTML) 1 Page - List of Unclassifed Manufacturers |
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1 / 2 page ![]() 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 • World’s first fully analog machine learning chip • Processes natively analog data • Uses near-zero power to inference and to detect events • Consumes <20µA when always-sensing • Intelligently reduces analog data by 100x • Supports up to 4 analog sensors • Easy to integrate into current digital architectures • 7mm x 7mm 48-pin QFN package Benefits of Using the AML100 • Reduces always-on system power by >95% • Extends battery life by 20x • Enables many new always-on products and applications • Field-programmable functionality addresses wide range of always-on applications PB3-1.0 Target Applications • Intrusion and other surveillance sensors for home and commercial security systems • Voice-enabled smart home and wearable devices • Anomaly detection for preventative and predictive maintenance • Heartrate and other biometric monitoring Copyright 2022 Aspinity, All Rights Reserved February 2022 AML100 AnalogML™ Chip Product Brief |
Số phần tương tự - AML100 |
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