New Electronics

Edge Impulse provides anomaly detection to any edge device for the first time

Edge Impulse has unveiled a new technology that provides visual anomaly detection on any edge device, from NVIDIA GPUs to Arm MCUs, using a new model architecture called FOMO-AD (Faster Objects, More ...
The Next Web

FOMO is a TinyML neural network for real-time object detection

This article is part of our coverage of the latest in AI research. A new machine learning technique developed by researchers at Edge Impulse, a platform for creating ML models for the edge, makes it ...
Electronics Weekly

MCU-based AI tool detects visual anomalies rather than known features

Edge Impulse has introduced AI software for Arm microcontrollers and Nvidia processors intended to spot previously unseen and untrained anomalies in images, for industrial inspection, medical imaging ...
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 ...
New Electronics

Edge Impulse integrates Microchip’s SAMA7G54 MPU into its platform

Edge Impulse, the platform provider for building, deploying, and scaling edge machine learning models, has announced that Microchip Technology’s SAMA7G54 microprocessor (MPU) is now fully integrated ...
EDN

AI/ML platform leverages Microchip MPU

Edge Impulse announced that Microchip’s SAMA7G54 MPU is now fully integrated into its platform to enable easy training of ML models. The integration allows developers to build, train, and deploy ...