Image of NXP's eIQ™ Machine-Learning Software

eIQ™ ML Software Platform for i.MX RT Crossover MCUs

NXP Semiconductors

This presentation will introduce the NXP eIQ™ machine learning software environment that enables customers to take trained machine learning models, convert those models, and optimize those models for deployment on NXP silicon. This presentation will review the product features and benefits, cover target markets and applications, and give an overview of the eIQ enablement available specifically for i.MX RT crossover MCUs.

Related Parts

KépGyártói cikkszámLeírásAvailable QuantityÁrRészletek megtekintése
ARDUINO I.MX RT1050 EVAL BRDIMXRT1050-EVKBARDUINO I.MX RT1050 EVAL BRD74 - Immediate$32,609.77Részletek megtekintése
I.MX RT1060 EVAL BRDMIMXRT1060-EVKI.MX RT1060 EVAL BRD0 - Immediate$40,622.24Részletek megtekintése
PTM Published on: 2020-01-10

Related Videos

Arduino Input/Output - Electronics with Becky Stern | DigiKey
Arduino Input/Output - Electronics with Becky Stern | DigiKey

Publish Date: 2023-01-17

Arduino Basics - Electronics with Becky Stern | DigiKey
Arduino Basics - Electronics with Becky Stern | DigiKey

Publish Date: 2022-12-13

NXP i.MX RT Series – Bridging the gap between applications processors and microcontrollers l First Look Series
NXP i.MX RT Series – Bridging the gap between applications processors and microcontrollers l First Look Series

Publish Date: 2019-09-19

Related Product Highlight

iMX RT Series NXP’s new i.MX RT series is the industry’s first crossover processor providing high performance & real-time functionality to your current design process.
i.MX RT1050: High-Performance Processor with Real-Time Functionality NXP's i.MX RT1050 crossover processor is designed to support next-gen IoT applications with a high level of integration and security.

Related Articles and Blogs

Accelerate Industrial IoT Application Development—Part 2: Rapid IIoT Sensor Deployment Pre-configured industrial sensors units and gateways offer a simple solution for acquiring data needed to support IIoT application development.
Quickly and Efficiently Implement Machine Learning at the Network Edge Developers should consider these low-power processor and board solutions to implement efficient machine learning on IoT devices at the network edge.
Arduino Embraces 32-bit Microchip MCUs and Other Advanced Processors Originally created as a simple development platform to put inexpensive, easy-to-use embedded systems in the hands of non-professionals, the Arduino open-source hardware platform is attracting a rapidly-growing user base.