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.

Source: https://nvidianews.nvidia.com/

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.

Source: https://nvidianews.nvidia.com/

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.

Source: https://nvidianews.nvidia.com/

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.

Source: https://nvidianews.nvidia.com/

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.

Source: https://nvidianews.nvidia.com/

Source: https://nvidianews.nvidia.com/

NVIDIA CEO Jensen Huang emphasized the importance of cost reduction and sustainability in his address ahead of COMPUTEX in Taipei. He highlighted the potential of generative AI to reshape industries and drive innovation. Huang showcased new semiconductors, software, and systems for data centers, factories, and consumer devices.

Source: https://nvidianews.nvidia.com/

Source: https://nvidianews.nvidia.com/

Meta's open large language model, Meta Llama 3, optimized with NVIDIA accelerated computing, is now available as a downloadable NVIDIA NIM inference microservice. This AI model boosts healthcare and life sciences workflows, aiming to improve patient lives. The model is trained and optimized using NVIDIA accelerated computing.

Source: https://nvidianews.nvidia.com/

Source: https://nvidianews.nvidia.com/