Microchip Partners With Machine-Learning (ML) Software Leaders To Simplify AI-At-The-Edge Design Using Its 32-Bit Microcontrollers (MCUs) - GADGET-INNOVATIONS

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Microchip Partners With Machine-Learning (ML) Software Leaders To Simplify AI-At-The-Edge Design Using Its 32-Bit Microcontrollers (MCUs)

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Cartesiam, Edge Impulse and Motion Gestures integrate their machine-learning (ML) offerings into Microchip’s MPLAB® X Development Environment

 

 

 

Microchip Technology (Nasdaq: MCHP) today announced it has partnered with Cartesiam, Edge Impulse and Motion Gestures to simplify ML implementation at the edge using the company’s ARM Cortex based 32-bit micro-controllers and microprocessors in its MPLAB X Integrated Development Environment (IDE). Bringing the interface to these partners’ software and solutions into its design environment uniquely positions Microchip to support customers through all phases of their AI/ML projects including data gathering, training the models and inference implementation. 

 

 

 

About the Partner Offerings 

 

Cartesiam, founded in 2016, is a software publisher specializing in artificial intelligence development tools for microcontrollers. NanoEdge AI™ Studio, Cartesiam’s patented development environment, allows embedded developers, without any prior knowledge of AI, to rapidly develop specialized machine learning libraries for microcontrollers.  Devices leveraging Cartesiam's technology are already in production at hundreds of sites throughout the World 

 

 

Edge Impulse is the end-to-end developer platform for embedded machine learning, enabling enterprises in industrial, enterprise and wearable markets.  The platform is free for developers, providing dataset collection, DSP and ML algorithms, testing and highly efficient inference code generation across a wide range of sensor, audio and vision applications. Get started in just minutes thanks to integrated Microchip MPLAB X and evaluation kit support. 

 

 

Motion Gestures, founded in 2017, provides powerful embedded AI-based gesture recognition software for different sensors, including touch, motion (i.e. IMU) and vision. Unlike conventional solutions, the company’s platform does not require any training data collection or programming and uses advanced machine learning algorithms. As a result, gesture software development time and costs are reduced by 10x while gesture recognition accuracy is increased to nearly 100 percent.  

 

 

The MPLAB X IDE ML implementations will be featured during the Embedded Vision Summit 2020 virtual conference, September 15-17. Attendees can see video demonstrations at the company’s virtual exhibit, which will be staffed each day from 10:30 a.m. to 1 p.m. PDT.

 

 

Please let us know if you would like to speak to a subject matter expert on Microchip’s enhanced MPLAB X IDE for ML implementations, or the use of 32-bit microcontrollers in AI-at-the-edge applications. For more information visit microchip.com/ML Customers can get a demo by contacting a Microchip sales representative. 

 

 

Microchip’s offering of ML development kits now includes: 

·   EV18H79ASAMD21 ML Evaluation Kit with TDK 6-axis MEMS 

·   EV45Y33ASAMD21 ML Evaluation Kit with BOSCH IMU 

·   SAMC21 xPlained Pro evaluation kit (ATSAMC21-XPRO) plus its QT8 xPlained Pro Extension Kit (AC164161):  available for evaluating the Motion Gestures solution. 

·   VectorBlox Accelerator Software Development Kit (SDK): enables developers to create low-power, small-form-factor AI/ML applications on Microchip’s PolarFire FPGAs. 

 

 

 

 

 

 

September 16, 2020, New Delhi

 

 

 

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