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Eoxys introduces Production-Ready Machine Learning Module with embedded Syntiant technology

Irvine (California) [US]/ Bangalore (Karnataka) [India], November 9 (ANI/BusinessWire India): 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- ....

Mallik Moturi , Businesswire India , Eoxys Systems , Decision Processor , Irvine California Us Bangalore Karnataka India , Ovember 9 Ani Businesswire India Eoxys Systems , N Iot Solutions Provider , Oday Announced The Availability Of Its Xeno Wifi Ble Nano Ml Module , N Alexa Enabled Machine Learning Circuit Board With Embedded Syntiant Technology For Easy Deployment Of Consumer And Industrial Applications , Rom Voice Command And Audio Event Detection To Motion Control Industrial Condition Based Monitoring Suitable For Always On Iot Sensor Applications , He New Wifi Ble Enabled Module Featuresa Stm Series Mcu Of Arm Cortex M4 80mhz Or Nuvoton M23 96mhz With 1mb Flash Memory And 128kb 352kb Sram 20x20 Castellated Pins , He Module Also Hasa Usb Typec 5v Power Input With Serial Debug Port And Battery Powered Options , Tandby Power Mode , S Well As 3 Pin Swd Pins For Development And Debugging Quot Our New Module Circuit Board Is Ideal Developing Machine Learning Applications In Battery Powered Devices Across All Kinds Of Use Cases , Uot Saida Prabhakar , Eo Of Eoxys Systems Quot Our Board Is Readily Usable , Llowing Customers To Quickly Deploy Target Specific Applications By Building Only Their Carrier Board With Built In Wifi Ble5 0 Connectivity , Nabling Data To Be Uploaded The Cloud In Real Time Quot Xeno Module Is Packaged With Syntiant Ndp120 Neural Decision Processor That Can Run Multiple Audio And Sensor Machine Learning Applications Simultaneously Minimal Power Consumption Designed Natively Deep Networks Ona Variety Of Architectures , Ncluding Cnns , Nns And Fully Connected Networks Up To 256 Layers Quot Eoxys 39 New Module Our Ndp120 With Syntiant 39s Second Generation Core 2 Neural Network Engine Bring Highly Accurate , Ow Power Inference To Edge Devices For Both Consumer And Industrial Segments , Uot Said Mallik Moturi , Bo Of Syntiant Quot Whether It Is For Person Detection In The Home Or Listening Anomalies At Industrial Factories , He Combined Technology Enablesa Faster Go To Market Ramp , Nd Increases Processing At Lower Power , Mproving Battery Life And Roi Quot Click Https Www Eoxys Com Solutions Nano Ml Html To Learn More About The Xeno Wifi Ble Module This Story Is Provided By Businesswire India Ani Will Not Be Responsible In Any Way For Content Of Article ,