Taylor Scott Amarel

Experienced developer and technologist with over a decade of expertise in diverse technical roles. Skilled in data engineering, analytics, automation, data integration, and machine learning to drive innovative solutions.

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Pruning vs. Quantization: A Deep Dive into Model Compression for Edge Deployment

AI at the Edge: Squeezing Intelligence into Small Spaces The relentless pursuit of artificial intelligence at the edge – from smart cameras analyzing traffic patterns to wearable devices monitoring vital signs – demands smaller, faster, and more energy-efficient machine learning models. Deploying complex neural networks on resource-constrained devices like Raspberry Pis and NVIDIA Jetson boards

Architecting the Future: A Deep Dive into Advanced AI Infrastructure Technologies

Introduction: The Foundation of AI Innovation Artificial intelligence (AI) is rapidly transforming industries, from healthcare and finance to manufacturing and entertainment, impacting everything from personalized medicine to fraud detection and autonomous vehicles. This explosive growth is fueled by advancements in AI infrastructure, the underlying technologies that enable the development, deployment, and scaling of AI models.