SAN JOSE, Calif.--(BUSINESS WIRE)--Edge Impulse, a leading platform for building, refining and deploying machine learning models and algorithms to edge devices, has won the 2023 AI TechAward for the ...
The partnership expands Infineon's ModusToolbox™ software ecosystem to Edge Impulse's studio environment, allowing for easy configuration of the high-performance, low-power PSoC™ 6 MCU series for edge ...
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 ...
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 ...
Partnership enables AI developers to train, optimize and deploy embedded ML models on the Ceva-NeuPro-Nano NPU IP, pre-silicon, via Edge Impulse Platform The Ceva-NeuPro-Nano NPU IP for Embedded AI is ...
CELUS, the leading provider of AI-powered electronics design automation solutions for developers, engineers, and component suppliers, and Edge Impulse, the leading platform for building, optimizing ...
ROCKVILLE, Md.--(BUSINESS WIRE)-- Ceva, Inc. (NASDAQ: CEVA), the leading licensor of silicon and software IP that enables Smart Edge devices to connect, sense and infer data more reliably and ...
SAN JOSE, Calif.-- (BUSINESS WIRE)--Edge Impulse, the leading platform for building, refining and deploying machine learning models and algorithms to edge devices, has released a new suite of tools ...
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 ...
Two recent partnerships show how advanced AI is moving to the edge. This movement, similar to "edge computing" in which data is processed closer to its source, sees AI models being deployed and ...
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 ...
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