A comprehensive guide to developing, optimizing, and deploying a TinyML model for real-time object detection on resource-constrained devices.
A detailed, actionable guide on conducting effective AI Proof of Concepts, featuring real-world case studies, strategic insights, and practical tips.
An overview and guide to the MIT Deep Learning course, highlighting its structure, content, and value as a leading open educational resource in AI.
A brief reflection on how the M³E education module helps students connect theory with real-world material behavior using multiscale experimentation.
