The Aspinity
AML100

Near-Zero Power AnalogML™ Processor for Always-on Detection, Classification, Notification, and Prevention

The AML100 accurately detects and classifies sensor-driven events from raw, analog sensor data, allowing developers to reduce always-on system power by 95% or more.

AML100 Features

  • World’s first pure analog AI processor
  • Consumes <20µA when always-sensing
  • Enables always-on system power <50uA for most applications >20 TOPS/W equivalent compute efficiency
  • Easy to use programming kit compatible with standard ML tools
  • Supports up to 4 analog sensors
  • Easy to integrate into current digital architectures
  • 7mm x 7mm 48-pin QFN package

AML100 Functional Block Diagram

Always-on AI System Implementation

Aspinity’s AML100 chip controls the entire system, handles the majority of the ML workload

  • Digitizing data before determining relevance drains system power
  • Use analog AI inference to identify relevant data because ML workloads compute more efficiently in the analog domain
  • Keep most system components dormant until relevant data is curated

Supported Sensors

acoustic

MEMS Microphone
ECM
Hydrophone

optical

Image Sensor
PPG
PIR

motion

Piezo
Accelerometer
Gyroscope

other

Electric/Magnetic
Capacitance
ECG
Radar

Applications

Aspinity AML100 integrates with any embedded system to achieve an order-of-magnitude reduction in system power consumption

AML100 Applications Chart

Evaluation Kits

Glass Break
Detection

Smoke & CO
Detection

Dashcam

Resources

AML100
Product Brief