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.
Eta Compute Closes $12.5 Million Series C Funding Led By Synaptics
Eta Compute expands its focus to ready-to-deploy, system-level solutions and announces strategic partnership with Synaptics
Chao Xu presenting tinyML talk
In this presentation we will show how Eta Compute took an integrated approach to minimize the barrier to design neural network for ultra-low power operation, with multiple examples for embedded vision application.
Eta Compute Will Demo Person Detection and People Counting in milliwatt At The 2020 Embedded Vision Summit
Virtual interactive event provides a first-look at the TENSAI Platform and People Detection and People Counting demo; allows attendees to text or chat 1-1 with Eta Compute experts.
Eta Compute Introduces TENSAI® Flow, Enables Seamless Development of Machine Learning Applications in Low Power IoT Devices, from Concept to Firmware
Eta Compute’s TENSAI Flow and neural network compiler helps developers accelerate time-to-design, giving them an edge to bring innovative, intelligent products to market quickly. WESTLAKE VILLAGE, Calif., August 4, 2020 – Eta Compute Inc., a company dedicated to delivering machine learning to low power IoT and edge devices using its revolutionary TENSAI® Platform, announced its … Read more Eta Compute Introduces TENSAI® Flow, Enables Seamless Development of Machine Learning Applications in Low Power IoT Devices, from Concept to Firmware
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