IBM Research Explores Generative AI for Business Applications
IBM Research focuses on trustworthy generative AI models and infrastructure to tackle business challenges, addressing scalability and reliability issues.
NVIDIA NIM Utilized for Advanced Financial Market Scenario Generation
NVIDIA NIM leverages generative AI for advanced financial market scenario generation, aiding risk management and investment decision-making.
IBM Research Advances Trustworthy Generative AI for Data Augmentation
IBM Research unveils new frameworks for generative AI to enhance data augmentation and accelerate drug and material discovery.
NVIDIA Introduces Edify: Custom AI Model Training for Developers
NVIDIA Edify allows developers to create custom AI models using their own data, significantly enhancing content generation capabilities.
Leonardo AI Unveils Advanced Generative AI Masterclass
Explore Leonardo AI's advanced generative AI masterclass, featuring in-depth workflows with Phoenix, Edit with AI, Describe with AI, and more.
Optimizing GPU Clusters for Generative AI Model Training: A Comprehensive Guide
Explore the intricacies of testing and running large GPU clusters for generative AI model training, ensuring high performance and reliability.
NVIDIA Enhances AI Safety with NIM and NeMo Guardrails Integration
NVIDIA introduces NIM and NeMo Guardrails to ensure safe and compliant generative AI deployments, enhancing trustworthiness and security.
NVIDIA Launches GenAI-Perf for Optimizing Generative AI Model Performance
NVIDIA introduces GenAI-Perf, a new tool for benchmarking generative AI models, enhancing performance measurement and optimization.
NVIDIA Demonstrates Real-Time Generative AI in 3D Desert World Creation
NVIDIA researchers showcased real-time generative AI capabilities using NVIDIA Edify at SIGGRAPH, highlighting rapid 3D world-building.
NVIDIA CEO Jensen Huang Predicts Ubiquitous AI Assistants at SIGGRAPH 2024
NVIDIA CEO Jensen Huang forecasts a future where AI assistants are ubiquitous, discussing the advancements in generative AI and accelerated computing at SIGGRAPH 2024.