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 ...
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 ...
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 ...
SAN JOSE, Calif.--(BUSINESS WIRE)-- Edge Impulse, the leading platform for building, deploying, and scaling edge machine learning models, and STMicroelectronics (NYSE: STM), a global semiconductor ...
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 ...
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 ...
Hot on the heels of launching the Dragonwing suite of products to represent its industrial and embedded internet of things (IoT), networking and cellular infrastructure solutions, Qualcomm ...
Why it’s important not to over-engineer. Equipped with suitable hardware, IDEs, development tools and kits, frameworks, datasets, and open-source models, engineers can develop ML/AI-enabled, ...
Qualcomm Technologies announced an expanded Industrial and Embedded IoT (IE-IoT) portfolio at CES 2026. The updates include the introduction of Dragonwing Q-series processors, new developer offerings, ...
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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