A New Era in Edge Computing with 1000X More Energy Efficient Neural Networks
We Support a Diverse Set of End Markets in energy-starved applications for both consumer and industry. The company’s patented products increase an application’s functionality while remaining within its fixed battery capacity. We do this by processing data at the source thereby limiting power-hungry RF transmissions resulting in longer system life and significantly more features, all at lower costs.
Eta Compute’s Neural Sensor Platform brings Artificial Intelligence to edge devices and transforms sensor data into actionable information for voice, activity, gesture, sound, image, temperature, pressure and bio-metrics, among others. The platform delivers the trifecta in edge computing: lower response time, increased security, and higher accuracy.
Major Applications Leveraging Eta Compute’s Technology
What is Continuous Voltage & Frequency Scaling?
Cifar10 Image Recognition System consumes <1mJ per inference
Always on command recognition consumes 300uA
Endpoint AI in a Matter of Microwatts
The ultra-low-power AI silicon startup Eta Compute has production silicon of its first product. The ECM3532 promises to enable AI and ML computation in IoT applications such as sensor nodes for a power budget of just microwatts. -from EE Times
Low-Power AI Startup Eta Compute Delivers First Commercial Chips
The chip, called the ECM 3532, consumes as little as 100 microwatts and is designed to perform AI-enabled tasks such as object identification, recognize wake words or sounds, and analyze data from a variety of sensors. -from IEEE Spectrum
Eta Compute Announces Production Silicon of the World’s Most Energy-efficient Edge AI Processor
Software platform and Processor are ideal for artificial intelligence in edge devices with environmental, sound, motion and image sensors.