Lectures
Lectures
Three main lectures in Artificial Intelligence
Introduction to Artificial Intelligence
Foundations of machine learning, support vector machines, loss functions and neural networks.
Topics
ML fundamentalsSVMsLoss functionsNeural networks
Machine Perception & Tracking
Sensors, detection, calibration, Kalman filtering and multi-object tracking.
Topics
SensorsDetectionCalibrationKalman filteringTracking
Advances in AI
Modern neural architectures, GANs, diffusion models, NLP and style transfer.
Topics
Modern architecturesGANsTransformersStyle transfer