Deep Learning

CycleGAN is a GAN-based image translation that introduced novel cycle loss for unpaired image dataset training for stunning style transfers.

Stable diffusion is a machine learning technique that generates high-quality images from text by iteratively refining noise patterns.

Discover the advancements of StyleGAN, introduced by NVIDIA. Learn the unique architecture enabling fine-grained control over image generation.

Artificial Super Intelligence (ASI) represents the pinnacle of AI. Here, we explore likely pathways to reaching ASI and its potential impact.

Discover how NVIDIA became the world's most valuable firm, revolutionizing AI and autonomous technology with advanced chips, GPUs, and innovative solutions.

Learn how transfer learning can save training time and resources. Follow our step-by-step Python implementation guide.

Explore the latest advancements in multimodal robot navigation, focusing on VLMaps and AVLMaps to enhance robotic spatial awareness.

Generative AI is revolutionary. Learn about GANs, VAEs, and Transformers, and how they're used in industries, and beyond.

Discover the advancements of YOLOv6 and learn how this state-of-the-art model improves speed and accuracy for real-world applications.

Explore neuromorphic engineering: history, principles, and applications. Learn about brain-inspired computing and key developments.

DeepLab is a family of image segmentation deep learning models that utilize atrous convolution for image segmentation.

Learn about the pretraining of large scale autoregressive image models. Understand their function and scalability against varying parameters.