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Bench Talk for Design Engineers

Bench Talk

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Bench Talk for Design Engineers | The Official Blog of Mouser Electronics


New Tech Tuesdays: Embracing the Edge: Computing Where It Counts Rudy Ramos
Embedded devices powered by system-on-chips (SoCs) provide a compact yet powerful computing solution. Learn how embedded devices and SoCs are revolutionizing data processing and real-time analytics.

Edge Impulse Fundamentals Part Eight Mike Parks
Edge Impulse offers features that make model versioning and deployment not just feasible but also efficient. Part 8 of the Edge Impulse Fundamentals series delves into how these functionalities are managed and why they are crucial for developers and organizations.

Edge Impulse Fundamentals Part Seven Mike Parks
Part 7 of the Edge Impulse Fundamentals series explores how the Live Classification tool validates the machine learning model in the browser with data captured directly from any device or supported development board without the need to deploy the model with every iteration.

Edge Impulse Fundamentals Part Six Mike Parks
Part 6 of the Edge Impulse Fundamentals series finishes exploring the tools Edge Impulse provides to analyze ML model performance and investigates ways to mitigate the effects of overfitting and underfitting.

Edge Impulse Fundamentals Part Five Mike Parks
Part 5 of the Edge Impulse Fundamentals series looks at the processes and tools Edge Impulse provides to analyze ML model performance.

Edge Impulse Fundamentals Part Four Mike Parks
Part 4 of the Edge Impulse Fundamentals series looks at the learning and output blocks that create the impulse workflow.

Edge Impulse Fundamentals Part Three Mike Parks
Part 3 of the Edge Impulse Fundamentals series focuses on the pre-processing pipeline in impulse design, which includes a series of processing blocks that transform the raw input data into a format the machine-learning model can use.

Edge Impulse Fundamentals Part Two Mike Parks
Part 2 of the Edge Impulse Fundamentals series takes a practical look at the overall Edge Impulse workflow: from data collection and training to firmware deployment on targeted edge devices. To help with this understanding, we outline a real-world example.

Edge Impulse Fundamentals Part One Mike Parks
Edge Impulse significantly reduces the workflow complexity of adding machine learning (ML) technology to products. Part one of the Edge Impulse Fundamentals series focuses on capturing the data that drives machine learning models.

Edge Impulse Use Case: Healthcare and Cancer Detection Norik Badalyan
Healthcare, and cancer detection, in particular, is a field that stands to benefit greatly from the proliferation of machine learning. Still, to fully realize this potential, we need to take healthcare machine learning from the cloud to the edge. Ultimately, this technology can help save lives.

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