NVIDIA CEO Jensen Huang and Meta CEO Mark Zuckerberg will hold a public fireside chat at the 50th edition of the SIGGRAPH graphics conference in Denver on July 29. The discussion will focus on the future of AI and simulation. Before the chat, Huang will also appear in a fireside chat with WIRED senior writer Lauren Goode to discuss AI and graphics for the new computing revolution. The conversations will be available live and on replay at NVIDIA.com.
2024-07-15 05:26:28 PM |
NVIDIA researchers will present advancements in simulation research and AI models at SIGGRAPH 2024 in Denver, July 28-August 1. The conference will feature over 20 papers introducing innovations in synthetic data generators, inverse rendering tools, and diffusion models for visual generative AI. The research aims to improve simulation technology and boost image quality, enabling the creation of increasingly realistic 3D representations of real or imagined worlds.
AINVIDIA | Rating: 89 | 2024-07-12 01:16:23 PM |
Japan's National Institute of Advanced Industrial Science and Technology (AIST) is enhancing its AI sovereignty with the new AI Bridging Cloud Infrastructure 3.0 (ABCI 3.0) supercomputer, built by Hewlett-Packard Enterprise (HPE) and powered by thousands of NVIDIA H200 GPUs and NVIDIA Quantum-2 InfiniBand. The HPE Cray XD system features NVIDIA Quantum-2 InfiniBand networking for superior performance and scalability.
AIJapan | Rating: 77 | 2024-07-11 10:37:04 AM |
At the Design Automation Conference, Ansys explores how NVIDIA Omniverse and Modulus help accelerate simulation workflows for 3D-ICs, which are vertically stacked chips that boost performance without increasing power consumption. Advanced 3D multiphysics visualizations are essential for managing electromagnetic and thermal stresses in these complex chips.
Technology | Rating: 75 | 2024-06-25 07:36:01 PM |
NVIDIA contributed the largest ever indoor synthetic dataset to the Computer Vision and Pattern Recognition (CVPR) conference's annual AI City Challenge. The challenge, which garnered over 700 teams from nearly 50 countries, tasks participants to develop AI models to enhance operational efficiency in physical settings. The datasets were generated using NVIDIA Omniverse, a platform of application programming interfaces.
AI | Rating: 90 | 2024-06-17 01:16:19 PM |
NVIDIA Research won the Autonomous Grand Challenge at the Computer Vision and Pattern Recognition (CVPR) conference in Seattle. The company's Hydra-MDP model topped the leaderboard in the End-to-End Driving at Scale category, outperforming over 400 entries worldwide. This achievement showcases the importance of generative AI in autonomous vehicle development. The technology can also be applied to industrial environments.
AI | Rating: 57 | 2024-06-17 01:15:04 PM |
NVIDIA Research will present over 50 papers at the Computer Vision and Pattern Recognition (CVPR) conference in Seattle, showcasing advancements in AI software for creative industries, autonomous vehicle development, healthcare, and robotics. The conference takes place from June 17-21. Two papers are finalists for the Best Paper Awards, and NVIDIA won the CVPR Autonomous Grand Challenge's End-to-End Driving at Scale track.
AI | Rating: 90 | 2024-06-17 01:16:07 PM |
NVIDIA announced NVIDIA Omniverse Cloud Sensor RTX, a set of microservices that enable physically accurate sensor simulation to accelerate the development of fully autonomous machines. The technology is designed to simulate sensors for autonomous vehicles, humanoids, industrial manipulators, mobile robots, and smart spaces. NVIDIA made the announcement at CVPR in Seattle.
AI | Duplicated with: 1 | Rating: 47 | 2024-06-17 01:05:19 PM |
NVIDIA founder and CEO Jensen Huang addressed Caltech graduates, encouraging them to pursue their craft with dedication and resilience. He spoke about the evolution of the computing industry, reaching the current moment of AI transformation. The ceremony took place in Pasadena, California.
AI | Rating: 51 | 2024-06-15 11:35:07 PM |
NVIDIA has released Nemotron-4 340B, a family of open models that can generate synthetic data for training large language models (LLMs) in various industries. The models are optimized for NVIDIA NeMo and NVIDIA TensorRT-LLM. Developers can use Nemotron-4 340B to generate high-quality training data for their LLMs, which is crucial for their performance and accuracy.
2024-06-14 04:05:07 PM |