
Explore 3D deep learning for gaming, covering human pose estimation, object reconstruction, and computer vision applications with Stanford AI expert Srinath Sridhar.

Create lifelike AI voices with emotions, emphasis, and dramatic pauses using Resemble AI's innovative techniques and tools.

Explore AI/ML applications in gaming, covering navigation, task planning, procedural generation, and reinforcement learning, with insights from Unity expert Idan Beck.

Learn to denoise 2D and 3D multichannel scientific images using Noise2Void deep learning, focusing on CZI files from ZEISS microscopes. Explore implementation, training, and practical applications for improved image quality.

Learn to denoise RGB images using Noise2Void deep learning technique, focusing on implementation, data preparation, and model training for improved image quality without clean data.

Explore the fundamentals of data science, analytics, AI, and machine learning. Learn essential skills and create a structured learning plan for these in-demand fields.

Learn object segmentation using StarDist in Python for star-convex shapes in 2D and 3D. Covers installation, implementation, and HD image segmentation with practical examples.

Efficient processing of whole slide images using OpenSlide, including H&E normalization and signal separation. Demonstrates tile extraction, processing, and saving for large-scale histopathology analysis.

Learn to label images for semantic segmentation using Label Studio, covering installation, project setup, annotation, and exporting in this practical tutorial.

Explore semi-supervised learning with GANs in Keras, focusing on training discriminators as classifiers using limited labeled data for improved accuracy compared to traditional CNNs.

Explore semi-supervised learning with GANs, focusing on training discriminators as classifiers using limited labeled data for improved accuracy compared to traditional CNNs.

Explore single image super-resolution using SRGAN, covering key concepts, perceptual loss, content loss, and network architectures for enhanced image quality.

Introduction to CycleGAN for unpaired image-to-image translation, covering key concepts, architecture, and training process. Explores discriminator and generator components, focusing on PatchGAN and instance normalization.

Learn image-to-image translation using Pix2Pix GAN, exploring key concepts, generator and discriminator architectures, and practical applications in satellite imagery and scientific image generation.

Explore image processing, data visualization, and 3D modeling using Stable Diffusion and Rhino Grasshopper. Learn to create, manipulate, and visualize data-driven images and 3D forms.

Explore AI-powered creativity using Midjourney for divergent and convergent design thinking. Learn to integrate AI tools into your artistic process and enhance visual creativity through practical examples and expert insights.

Explore 7 strategies for leveraging data disruption in design, covering AI's impact, computational design, and the future of creative practices. Gain insights on adapting to technological changes in the design field.

Explore computational design's impact on creativity, aesthetics, and problem-solving in this critical investigation of digital tools for designers and architects.

Explore advanced Smart Object techniques in Photoshop, from basic usage to nested animations and Lightroom integration, enhancing your image editing skills.

Learn advanced Photoshop compositing techniques from expert Jesus Ramirez. Topics include background removal, rim lighting, image harmonization, color adjustments, hair refinement, and blending for realistic results.

Learn to map textures onto faces in Photoshop, creating superhero, monster, or hybrid effects. Master displacement maps, masking, and shading techniques for realistic results.