EDGE AI FOUNDATION Courses

Optimized Event-Driven Spiking Neural Network for Low-Power Neuromorphic Platform

Discover how event-driven spiking neural networks can enable low-power neuromorphic systems through modular architectures and local adaptation rules, with practical FPGA implementation insights.

• YouTube
• 36 minutes
• Self-Paced
• Free Video

Quantization Techniques for Efficient Large Language Model Inference

Discover advanced quantization methods for optimizing large language model performance on edge devices, focusing on reducing computational costs and memory requirements while maintaining efficiency.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

Towards Efficient Neural Rendering: From NeRF to Real-Time AR/VR Applications

Explore the evolution and optimization of Neural Radiance Fields (NeRF) for AR/VR applications, focusing on computational efficiency improvements and future challenges in achieving photorealistic rendering.

• YouTube
• 22 minutes
• Self-Paced
• Free Video

Enabling Seamless TinyML Development and Deployment for Edge Devices

Discover how to efficiently develop and deploy TinyML applications using Renesas' scalable MCU/MPU lineup, ecosystem, and development tools for resource-constrained edge devices.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

The Future of AI is On-Device - From Cloud to Edge Computing

Explore the shift of Generative AI from cloud to on-device computing, examining economic benefits, personalization opportunities, and the role of modern mobile chipsets in enabling AI capabilities.

• YouTube
• 37 minutes
• Self-Paced
• Free Video

Unlocking TinyML - A Cost-Efficient Approach to Custom Microcontroller Design for AI Applications

Discover how to design and implement custom microcontrollers for TinyML applications using an innovative, cost-effective ecosystem of open-source tools and fabrication services.

• YouTube
• 53 minutes
• Self-Paced
• Free Video

Buttonless Remote Control with TinyML - Build a Gesture-Based Device Controller

Discover how to create a compact 4KB neural network for gesture-based device control, enabling touchless interaction with Bluetooth-enabled systems using only hand movements and minimal energy consumption.

• YouTube
• 1 hour 5 minutes
• Self-Paced
• Free Video

Minimizing Resource Usage in Microcontrollers for Cost-Effective Solutions

Discover optimization techniques for microcontrollers using Apache TVM and Arm Ethos-U55, focusing on neural network fine-tuning strategies to reduce costs and energy consumption.

• YouTube
• 38 minutes
• Self-Paced
• Free Video

Suitability of Forward-Forward and PEPITA Learning to MLCommons-Tiny Benchmarks

Explore forward-only algorithms as alternatives to backpropagation in on-device learning, examining memory efficiency and computational trade-offs for tiny ML devices through MLCommons-Tiny benchmarks.

• YouTube
• 1 hour
• Self-Paced
• Free Video

Unsupervised Federated Learning for Edge Computing Applications

Explore federated learning techniques for edge devices, focusing on utilizing unannotated data to build global models while maintaining data privacy and security in IoT applications.

• YouTube
• 1 hour 5 minutes
• Self-Paced
• Free Video

Enabling On-Device Learning on STM32 Microcontrollers

Discover how to implement on-device learning for CNN models on STM32 microcontrollers, focusing on personalized Human Activity Recognition and resource optimization for edge computing.

• YouTube
• 1 hour 11 minutes
• Self-Paced
• Free Video

Hardware-Aware Neural Architecture Search Algorithm for Ultra-Low-Power Microcontrollers

Discover how hardware-aware neural architecture search enables efficient AI model design for microcontrollers, optimizing performance without requiring powerful GPUs or extensive computing resources.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

Biosensing at the Edge of the Cloud - Applications in Clean Water, Food Quality, and Health

Explore cutting-edge biosensor technologies for smart bio-edge applications, covering virus detection, water quality monitoring, food safety, and health tracking through chemical and biological data analysis.

• YouTube
• 1 hour 7 minutes
• Self-Paced
• Free Video

Mudra - Reinventing Tiny Interfaces for Ubiquitous Digital Interaction

Explore how Mudra's wearable technology revolutionizes digital interaction through bio-potential sensing and IMU integration, enabling touchless control across multiple devices while maintaining low power consumption.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video

Empowering the Edge - Advancements in AI Hardware and In-Memory Computing Architectures for TinyML

Explore cutting-edge AI hardware architectures and in-memory computing innovations for efficient edge computing, focusing on real-time inference and resource optimization for TinyML applications.

• YouTube
• 1 hour 12 minutes
• Self-Paced
• Free Video