Photo Manipulation Basics in Adobe Photoshop
Master essential photo manipulation techniques in Adobe Photoshop, from image extraction and blending to color matching and advanced compositing. Learn to create professional-quality manipulations with expert guidance.
Singing Synthesis Beyond Human-Level Naturalness: Not What You Think
Explore singing synthesis surpassing human naturalness, challenging perceptions of quality evaluation and implications for future system designs in vocal synthesis research.
Removing Complex Objects in Photoshop - Advanced Techniques
Master advanced Photoshop techniques to remove complex objects like fences, combining Content-Aware Fill, Generative Fill, and Remove Tool for high-quality results in photo editing.
Converting Photos to Art in Photoshop Using Generative AI - New Features and Techniques
Explore Photoshop's new AI-powered features for transforming photos into art, including Generative Fill and Selection Brush. Learn techniques for partial effects and advanced methods.
Firefly 3 AI in Photo Retouching - Practical Tips
Practical tips for leveraging Adobe Firefly 3 AI in photo retouching, enhancing image quality through AI-powered upscaling and noise reduction techniques.
Adobe Firefly for Beginners - AI Art Generation Tutorial
Learn Adobe Firefly for AI art generation, covering basics to advanced techniques. Master image creation, styles, generative fill, and AI integration in Photoshop for creative digital art projects.
Adobe AI for Retouching and Compositing in Photoshop - Firefly AI 3 Tips and Tricks
Optimize retouching and compositing workflows in Photoshop using Firefly AI 3. Learn time-saving techniques to enhance productivity and achieve professional results efficiently.
Exploring the Cosmos with Deep Learning
Explore how deep learning revolutionizes cosmology, from detecting gravitational lenses to generating galaxy images and modeling cosmic structures, addressing challenges in modern astronomical surveys.
Machine Learning for Determining Protein Structure and Dynamics from Cryo-EM Images
Explore machine learning techniques for analyzing cryo-EM images to determine protein structure and dynamics, focusing on the cryoDRGN algorithm and its applications in structural biology.
Drug Discovery Generative AI Using Tensor Network GPT or BERT
Explore generative AI applications in drug discovery using GPT and BERT models, focusing on ProtGPT2 for protein sequence generation and ProtBert for protein structure analysis.
Myriad LLM Approaches to Drug Discovery Generative Artificial Intelligence
Explore diverse LLM approaches in drug discovery GenAI, empowering medicinal chemists to enhance the process through informed prompts and molecule generation techniques.
Apple On-Device GenAI for Lead Optimization in Drug Discovery - MacOS and iOS
Explore on-device GenAI capabilities for lead optimization in drug discovery using Apple devices. Learn about performance, speed, and memory for running AI models locally.
Next-generation Frameworks for AI and Science, and Trust - Lecture 8
Explore next-gen AI frameworks in science, examining their potential benefits, safety concerns, and trust mechanisms through recent advancements and scientific applications.
Harmonic Self-Conditioned Flow Matching for Multi-Ligand Docking and Binding Site Design
Explore advanced AI techniques for protein-ligand binding structure generation and binding site design, improving drug discovery and molecular interaction modeling.
Chemically Transferable Generative Backmapping of Coarse-Grained Proteins
Explore innovative machine learning techniques for generative backmapping of coarse-grained proteins, focusing on transferability, reliability, and efficiency in molecular simulations.
Differentiable Simulations for Enhanced Sampling of Rare Events
Explore deep learning applications in molecular simulations, including surrogate functions, sampling complex distributions, and time-propagation of differential equations. Learn about active learning, generative models, and reaction path finding.
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
Explore DiffDock, a novel diffusion-based approach to molecular docking that outperforms traditional and deep learning methods in predicting ligand-protein binding structures for drug design.
Designing DNA with Tunable Regulatory Activity Using Discrete Diffusion
Explore DNA Discrete Diffusion (D3) for engineering regulatory DNA sequences with targeted functional activity levels. Learn about its advantages, evaluation metrics, and applications in functional genomics.
gRNAde: Geometric Deep Learning for 3D RNA Inverse Design
Explore gRNAde, a geometric deep learning pipeline for 3D RNA inverse design. Learn about its architecture, use cases, and advantages over traditional methods in RNA sequence design.
MFBind - A Multi-Fidelity Approach for Evaluating Drugs in Generative Modeling
Explore MFBind, a multi-fidelity approach integrating docking and binding free energy simulations for improved drug discovery generative modeling. Learn its advantages over current methods.
Unlock AI Innovation with Azure AI Infrastructure
Explore Azure's GPU-accelerated clusters for AI model training and inference, integrating with Azure Machine Learning and third-party solutions to drive AI innovation.