
Explore diffusion models as versatile priors for various tasks, enhancing image processing and generation capabilities.

Explore generative diffusion models in discrete-state spaces through the innovative Blackout Diffusion approach, presented by researcher Yen Ting Lin.

Explore cost-effective ML system development through active learning, continual learning, and transfer learning. Learn efficient model selection techniques for optimal source model transfer to target tasks.

Explore backdoor attacks in AI systems, their impact on deep learning, and defense strategies against this emerging security threat.

Explore generative AI advancements, challenges, and VinAI's contributions with Dr. Hung Bui. Gain insights into AI-generated content's impact and the pressing issues in this rapidly evolving field.

Explore image gradients in neural networks to synthesize adversarial examples, visualize neurons, enhance robustness, interpret decisions, and improve image generators.

Explore quantum computing's impact on computer vision, focusing on robust geometric optimization. Gain insights into NISQ experimentation and the potential of quantum algorithms in vision research.

Explore scene graphs and current research in this field, gaining insights into an exciting area of AI and machine learning.

Explore ml5.js 1.0, learn FaceMesh model usage, and create a kinetic type visualization controlled by mouth movements with guest conductor Patt Vira in this hands-on tutorial.

Comprehensive guide on training LoRA models for FLUX.1 [dev], covering techniques, experiments, and analysis for art style and concept generation in Stable Diffusion.

Implement YOLOv8 for ship detection in sea views using Python. Learn data preparation, model training, and prediction visualization for effective object detection.

Learn to create a horse race detection model using deep learning without a pre-existing dataset. Extract frames, automate annotations, train YOLOv8, and apply the model to videos for real-time object detection.

Develop a custom YOLOv8 model for real-time basketball object detection, covering automatic labeling, model training, and live inference on game footage.

Learn to build a YOLOv8-based dog breed detection system using deep learning. Master data preparation, model training, and making predictions with bounding boxes.

Explore self-hosted AI image generation with InvokeAI. Learn to create and edit stunning visuals, generate set pieces, and integrate them into your projects. Includes hardware recommendations and practical demonstrations.

Explore Meta AI's advanced image and video segmentation model SAM 2, its capabilities, and implementation for zero-shot object segmentation tasks.

Learn to build a text-to-image AI app using Stable Diffusion, Docker, and Flask. Create high-res images from text prompts, explore Docker Init, CUDA, FreeU, and more in this beginner-friendly Python tutorial.

Experiment comparing top LLMs for Python code generation in scientific image analysis. Tests models' ability to segment nuclei, measure intensities, and calculate ratios in microscopy images.

Explore the intersection of data science with humanities and arts, focusing on MapReader software for analyzing maps and images at scale.

Discover how a rapidly developed algorithm for plankton species detection was deployed on a ship, revolutionizing marine research and environmental monitoring.

Explore AI-powered image analysis for neurodegenerative diseases, focusing on software that detects shape differences in diseased brain cells, with insights from PhD research.