Social And Emotional Learning Courses

Andreas Geiger

Learning Robust Policies for Self-Driving

Explore robust policies for self-driving vehicles, covering TransFuser for sensor fusion, PlanT for learned planning, and KING for identifying critical scenarios in autonomous driving.

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

Andreas Geiger

Physically-Motivated Learning of Shape, Material and Lighting in Complex Scenes

Explores physically-motivated learning for shape, material, and lighting recovery in complex scenes using differentiable rendering layers and parsimonious representations, enabling augmented reality applications with single or few images.

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

Andreas Geiger

Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis

Explores unsupervised learning for 3D-controllable image synthesis, disentangling latent factors like viewpoint and object pose from raw images to create novel, consistent scenes.

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

Andreas Geiger

Learning Robust Driving Policies

Explore robust driving policies for autonomous vehicles, covering situational reasoning strategies and addressing covariate shift in imitation learning to improve generalization and safety in diverse conditions.

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

Andreas Geiger

Learning 3D Reconstruction in Function Space

Explore neural implicit 3D representations for geometry and texture reconstruction, discussing their advantages, limitations, and applications in computer vision and graphics.

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

Andreas Geiger

Learning 3D Reconstruction in Function Space - Long Version

Explore neural implicit 3D representations for geometry, texture, and motion reconstruction. Learn innovative techniques for modeling complex 3D shapes using continuous function spaces and 2D supervision.

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

Andreas Geiger

Learning 3D Reconstruction in Function Space

Explore neural implicit models for 3D reconstruction, covering occupancy networks, texture fields, and differentiable rendering. Gain insights into cutting-edge techniques and recent advancements in the field.

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

Hardware.ai

Machine Learning Inference on Raspberry Pi Pico 2040 via Edge Impulse

Learn to implement machine learning inference on Raspberry Pico 2040 using Edge Impulse, covering environment setup, sample data inference, sensor data processing, and porting details.

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

Hardware.ai

Introduction to TinyML on Wio Terminal - Machine Learning on Microcontrollers

Introduction to TinyML on Wio Terminal: Learn to implement machine learning on microcontrollers using Arduino IDE, covering data gathering, processing, model training, and deployment.

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

tinyML

On-Device Continuous Event-Driven Deep Learning to Avoid Model Drift

Explore on-device continuous event-driven deep learning to prevent model drift in AIoT applications, focusing on real-time data adaptation without user intervention for industrial use cases.

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

tinyML

Continual On-Device Learning on Multi-Core RISC-V Microcontrollers

Explore continual on-device learning for multi-core RISC-V microcontrollers, focusing on system architecture, memory-energy-accuracy trade-offs, and efficient implementation of backpropagation techniques using latent replays.

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

tinyML

Neuromorphic Intelligence and Learning in Robotics

Explore neuromorphic engineering for efficient AI in robotics, focusing on on-chip learning and processing algorithms using Intel's Loihi 2 chip and the Lava software framework.

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

tinyML

Enabling On-Device Learning at Scale

Explore on-device learning techniques for AI personalization, including few-shot learning, continuous learning, and federated learning, addressing privacy and efficiency challenges in edge computing.

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

tinyML

On-Device Learning Under 256KB Memory - Challenges and Solutions for IoT Devices

Explore on-device learning for IoT devices with limited memory. Learn techniques for efficient model adaptation, quantization-aware scaling, and sparse updates to enable continuous learning on tiny hardware.

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

tinyML

Sensors and Machine Learning: Waking Smarter for Less

Explore how machine learning optimizes sensor systems, reducing resource usage while improving response. Learn about smart wake-up strategies and efficient data conversion at the edge.

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