Business Wire

Edge Impulse Integrates Microchip’s SAMA7G54 Microprocessor Into Its Platform to Easily Train Machine Learning Models

SAN JOSE, Calif.--(BUSINESS WIRE)--Edge Impulse, the leading platform for building, deploying, and scaling edge machine learning models, today announces Microchip Technology’s SAMA7G54 microprocessor ...
Business Wire

Edge Impulse Unveils Groundbreaking New Edge AI Solutions for Industrial Environments at Its Annual Imagine Conference

SAN JOSE, Calif.--(BUSINESS WIRE)--Edge Impulse, the leading platform for building, deploying, and scaling edge machine learning models, has unveiled a suite of new industry first edge AI tools ...
EDN

Eta Compute Partners with Edge Impulse to Accelerate the Development and Deployment of Machine Learning at the Edge

The partnership will transform the development process from concept to production for embedded machine learning in micropower devices. Eta Compute and Edge Impulse have announced that they are ...
Circuit Digest

ESP32-CAM Currency Recognition System using Edge Impulse

TinyML / Edge AI, ESP32-CAM camera interfacing, Edge Impulse workflow, Image classification & object detection on ...
Automation World

Mouser Electronics and Edge Impulse Partner to Combine ML and Edge Devices

The new partnership between Mouser Electronics and Edge Impulse is a significant development for automation engineers, combining machine learning (ML) with edge devices to create innovative ...
Forbes

From The Cloud To The Edge: Federated Machine Learning Is Moving AI Closer To Where It Is Used

Vikram Gupta is Chief Product Officer, SVP & GM of the IoT Processor Business Division at Synaptics, a leading EdgeAI semiconductor company. In my previous articles, I explored how the rapid growth of ...
Semiconductor Engineering

Classical Computing vs. Machine Learning and Edge AI Techniques in Various Application Domains

Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation. The deployment of ML models on embedded edge devices, characterized by ...