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 ...
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 ...
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 ...
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, ...
An explosion in data from inspection images and metrology measurements is creating a confusing set of demands for chipmakers and their equipment vendors. On one hand they need the massive storage and ...
Noting a growing demand for artificial intelligence (AI) that can run on edge devices with microcontrollers (MCUs) and microprocessors (MPUs), NXP Semiconductors has unveiled tools to enable ...
How deep learning enhances rule-based machine vision in quality and process control inspection applications. How edge learning compares to deep learning in machine-vision applications. Which ...
Linux has long been the backbone of modern computing, serving as the foundation for servers, cloud infrastructures, embedded systems, and supercomputers. As artificial intelligence (AI) and machine ...
Deep learning is increasingly critical to the future of computing, and Qualcomm is leaping into the fray with new software tools of its own. The Snapdragon Neural Processing Engine SDK will help ...
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