Eoxys launches two machine learning modules for advanced IoT applications: Xeno+ Nano ML

Eoxys launches two machine learning modules for advanced IoT applications: Xeno+ Nano ML


In today’s world, data is everywhere, and the need for data analysis is increasing rapidly. One of the most promising technologies to enable an intelligent analysis of data is Machine Learning (ML). Machine Learning has revolutionized many industries by helping them make sense of the vast amounts of data generated daily. However, building machine learning models requires expertise, infrastructure, and time. Eoxys has developed Xeno+ Nano ML, a powerful, easy-to-use, and cost-effective machine learning solution to overcome these challenges.

Xeno+ Nano ML is a machine learning solution developed by Eoxys, a leading provider of IoT and AI solutions. It is a complete end-to-end solution that helps developers build, train and deploy machine learning models quickly and easily. Xeno+ Nano ML provides a comprehensive suite of tools that make it easy to build and train ML models using various algorithms and data sources. It includes an intuitive web-based interface, pre-built models, and access to a vast library of machine-learning algorithms.

The Xeno+ Nano ML is designed to be flexible and scalable, allowing developers to customize it to their specific needs. It supports multiple platforms, including STM32 and Nuvoton, making it compatible with a wide range of hardware.

The Xeno+ Nano ML STM is the version of Nano ML that is compatible with STM32, a popular microcontroller used in embedded systems. The module is powered by the STM32L4 series Arm Cortex-M4 controller clocked up to a frequency of 80MHz. This is an excellent solution for developers looking to integrate machine learning into their existing STM32-based projects.

The Xeno+ Nano ML Nuvoton is based on the IoT microcontroller unit, Nuvoton Arm Cortex-M23 trust zone series clocked at a frequency of 96MHz. This module is ideal for a Trusted Execution Environment with Trusted Applications, featuring the security capabilities of TrustZone for Armv8-M technology.

Both modules feature Syntiant NDP120 neural decision processor that runs multiple audio and sensor applications with lower power consumption. The module also includes InnoPhase IoT’s Talaria TWO certified Wi-Fi and BLE module that provides integrated support for wireless connectivity.

The Xeno+ Nano ML is compatible with popular machine learning frameworks and supports multiple platforms, making it a flexible and scalable solution for a wide range of use cases.

Please follow and like us:
Pin Share
About Abhishek Jadhav

Abhishek Jadhav is an engineering student, RISC-V ambassador and a freelance technology and science writer with bylines at Wevolver, Electromaker, Embedded Computing Design, Electronics-Lab, Hackster, and EdgeIR.

view all posts by abhishek
Notify of

Inline Feedbacks
View all comments
Get new posts by email:
Get new posts by email:

Join 97,426 other subscribers