NVIDIA introduced an Omniverse Blueprint that allows software developers to create interactive digital twins with real-time physics for CAE applications. This will help industries like aerospace and automotive reduce development costs and time.

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

NVIDIA's open-source BioNeMo Framework is gaining adoption from pharmaceutical and techbio industry leaders, academic pioneers, and AI researchers. This tool offers a collection of accelerated computing tools designed to scale AI models for biomolecular research, aiming to expedite drug discovery and molecule design by providing specialized biomolecular models and datasets.

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

NVIDIA is working with Google Quantum AI to accelerate the design of its next-generation quantum computing devices using simulations powered by the NVIDIA CUDA-Q platform.

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

NVIDIA announces a blueprint for interactive virtual wind tunnels, enabling real-time physics in computer-aided engineering (CAE) for industries such as aerospace, automotive, and manufacturing.

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

NVIDIA's Blackwell platform achieves impressive results in MLPerf Training 4.1 benchmarks, delivering up to 2.2x more performance per GPU on large language model benchmarks, including Llama 2 70B fine-tuning and GPT-3 175B pretraining.

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

By 2025, industries are expected to leverage large language models (LLMs) and their own data to create AI solutions. This will lead to advancements in various sectors like healthcare, telecommunications, and retail.

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

NVIDIA's Jensen Huang and SoftBank's Masayoshi Son discussed Japan's emerging role in AI, emphasizing the country's potential to create digital and physical AI, leveraging its unique language, culture, and data.

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

Mitsui & Co.'s subsidiary Xeureka uses NVIDIA AI platform to accelerate drug discovery and reduce the time and cost of bringing new drugs to market.

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

Japan is developing next-generation drug design using AI to support its healthcare system, which is expected to face a shortage of nearly 500,000 healthcare workers by next year.

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

Toyota, Yaskawa, Seven & i Holdings, and Rikei Corporation are introducing digital twins and industrial AI to advance digitalization in Japan's industries, with applications in robotic manipulation, inspection, and human assistance.

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