Production-Ready Machine Learning Module with Embedded Syntiant Technology

Compact, Low Power Component for Always-On Voice, IoT and Sensor Use Cases


Bangalore, India and Irvine, Calif., Nov 9, 2022 – Eoxys Systems, an IoT solutions provider, today announced the availability of its XENO+™ WiFi+BLE Nano ML Module, an Alexa-enabled machine learning circuit board with embedded Syntiant technology for easy deployment of consumer and industrial applications, from voice command and audio event detection to motion control and industrial condition-based monitoring.


Suitable for always-on voice and IoT sensor applications, the new WiFi+BLE-enabled module features a STM series MCU of ARM Cortex-M4 @ 80MHz or Nuvoton MCU of ARM Cortex-M23 @ 96MHz with 1MB of flash memory and 128KB/352KB of SRAM. With 20x20 castellated pins, the module also has a USB Type C 5V power input with serial debug port and battery-powered input options, standby power mode, as well as 3 pin SWD pins for development and debugging.


“Our new module circuit board is ideal for developing machine learning applications in battery-powered devices across all kinds of use cases,” said A Prabhakar, CEO of Eoxys Systems. “Our board is readily usable, allowing customers to quickly deploy target-specific applications by building only their carrier board with built-in WiFi+BLE5.0 connectivity, enabling data to be uploaded to the cloud in real-time.”


The XENO+ module is packaged with the Syntiant NDP120 Neural Decision Processor™ that can run multiple audio and sensor machine learning applications simultaneously with minimal power consumption. The NDP120 processor is designed to natively run multiple deep neural networks on a variety of architectures, including CNNs, RNNs and fully connected networks up to 256 layers.


“Eoxys’ new module and our NDP120 with Syntiant’s second-generation Core 2 neural network engine bring highly accurate, low-power inference to edge devices for both consumer and industrial segments,” said Mallik Moturi, CBO of Syntiant. “Whether it is for person detection in the home or listening for anomalies at industrial factories, the combined technology enables a faster go-to-market ramp, and increases processing at lower power, improving battery life and ROI.”


Click https://www.eoxys.com/Solutions/Nano_ML.html to learn more about the XENO+™ WiFi+BLE Nano ML Module.


About Eoxys Systems

Eoxys Systems is an engineering company headquartered in Bangalore, India, and a leading provider of IoT and cloud-based solutions for carriers and enterprise. Eoxys, a subsidiary of Meritech Japan, specializes in IoT product and cloud software engineering, as well as embedded system design. Working closely with B2B clients and utilizing its proprietary XENO+ Nano CPU module and XENO+ Nano ML module, Eoxys has developed wearable sensor watches; wear monitoring and audio classification devices; blind spot detection applications and several other IoT Sensors with BLE/WiFi/LTE/GPS interfaces. Additional information about Eoxys’s products and services are available at https://www.eoxys.com/index.html.


About Syntiant

Founded in 2017 and based in Irvine, California, Syntiant Corp. is a leader in delivering end-to-end deep learning solutions for always-on applications by combining purpose-built silicon with an edge-optimized data platform and training pipeline. Syntiant’s advanced chip solutions merge deep learning with semiconductor design to produce ultra-low-power, high performance, deep neural network processors for edge AI applications across a wide range of consumer and industrial use cases, from earbuds to automobiles. The company is backed by several of the world’s leading strategic and financial investors including Intel Capital, Microsoft’s M12, Applied Ventures, Robert Bosch Venture Capital, the Amazon Alexa Fund and Atlantic Bridge Capital. More information on the company can be found by visiting www.syntiant.com or by following Syntiant on Twitter @Syntiantcorp or LinkedIn.


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PRESS CONTACTS


For Syntiant:

George Medici

gmedici@pondel.com


For Eoxys:

Sandeep

sandeep@eoxys.com

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