Computer Vision
AI doesn't perceive images like humans do. Understanding tokenization, embeddings, and attention mechanisms reveals how neural networks process visual data—critical knowledge for developing and detecting synthetic media.
Physical AI
Researchers present foundational framework for Physical AI, addressing how AI systems interact with and learn from the physical world through embodied intelligence, robotics, and real-world sensorimotor control.
CNNs
Deep dive into convolutional neural networks: the foundational architecture powering deepfake detection, video generation, and synthetic media analysis through convolution, pooling, and feature extraction.
OCR
DeepSeek-OCR introduces efficient optical character recognition with competitive performance at reduced computational costs, demonstrating how architectural innovations can democratize AI capabilities previously requiring massive resources.