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About this course
- Class Overview
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Syllabus & Downloads
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Introduction 2 min
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Brief High-Level AI/ML Overview 11 min
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VectorBlox™ Solution Overview 3 min
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CoreVectorBlox IP 10 min
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VectorBlox™ Software Development Kit 9 min
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Hardware Demo Reference Design and Example Applications 10 min
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Getting Started With the VectorBlox™ Solution 7 min
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VectorBlox™ SDK Structure Overview 8 min
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VectorBlox™ SDK Tutorials and sim-c 14 min
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Demos and Targeting Compiled Network BLOBs to Them 42 min
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Summary 1 min
- Complete Recording
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25014 FPGA3 (126 min)
- Feedback and Discussion
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Get in contact with the presentation team
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25014 FPGA3: AI/ML Smart Embedded Vision with with real-time applications using Microchip FPGAs VectorBlox engine and SDK (August 2025)
This class provides a comprehensive understanding of AI/ML using FPGA Smart Embedded Vision solutions and real-time applications.
This class provides a comprehensive understanding of AI/ML using FPGA Smart Embedded Vision solutions and real-time applications. The class identifies and explains the key components of the AI VectorBlox engine and SDK, compares techniques for incorporating different models, and demonstrates running models like object detection and facial recognition on hardware. By the end of the class, you will be able to deploy AI/ML models in embedded systems.
Prerequisites:
Basic understanding of AI/ML concepts is useful.