Source: https://blogs.nvidia.com/

Hitachi Rail, a global transportation company, is adopting NVIDIA IGX, an industrial-grade platform for industrial edge computing, to improve railway operations, lower maintenance costs, and reduce energy use. The company is integrating NVIDIA AI technology to lower maintenance costs, reduce train idling time, and improve transit reliability. The new HMAX platform will process sensor and camera data in real-time, removing lag time between data collection and analysis.

Source: https://blogs.nvidia.com/

NVIDIA is partnering with the U.S. government's Partnership for Global Inclusivity on AI (PGIAI) to provide Deep Learning Institute training, cloud GPU credits, and hardware and software grants to emerging economies. The partnership aims to harness the potential of artificial intelligence to advance sustainable development worldwide. U.S. Secretary of State Antony Blinken announced the effort at the U.N. General Assembly in New York.

Source: https://blogs.nvidia.com/

Harry Clifford is the product lead for genomics at NVIDIA, using the company's expertise in AI, high-performance computing, and data analytics to address genomics workflows. He has a background in bioinformatics and functional genomics, with a PhD from the University of Oxford and postdoctoral experience in the biopharma industry and at the University of Cambridge. Clifford was listed in Forbes' 30 Under 30 after co-founding precision oncology company CCG.ai, which was acquired by Dante Labs.

Source: https://blogs.nvidia.com/

The Wellcome Sanger Institute, a key contributor to the Human Genome Project, is using NVIDIA accelerated computing to save energy while analyzing tens of thousands of genomes a year. The institute's DNA sequencing lab reads over 48 petabases of DNA and RNA sequences to study health and disease. The CASM program sequences and analyzes cancer genomes to understand cancer formation and treatment effectiveness.

Source: https://blogs.nvidia.com/

Bartley Richardson is the Director of Engineering at NVIDIA, leading the development of cybersecurity AI and product engagement. He previously worked on multiple DARPA research projects as a technical lead. Richardson holds a PhD in Computer Science and Engineering with a focus on AI.

Source: https://blogs.nvidia.com/

GeForce NOW is adding seven new games to its library, including early access to 'Frostpunk 2' and the latest mainline entry in Square Enix's role-playing game series, FINAL FANTASY XVI. The latter is available for members to stream at launch, while 'Frostpunk 2' offers early access before its official launch. The new titles join the expansive GeForce NOW library, allowing gamers to stream top games in the cloud.

Source: https://blogs.nvidia.com/

SonicJobs, a company founded by Mikhil Raja, has developed AI Agents to improve job application conversion rates. The AI Agents enable candidates to complete applications directly on job platforms, without redirection, resulting in a 26% completion rate compared to the industry average of 5%. The company aims to reduce the $15 billion annual spend on talent acquisition by US companies.

Source: https://blogs.nvidia.com/

A committee of experts from top U.S. medical centers and research institutes is using NVIDIA-powered federated learning to evaluate the impact of AI-assisted annotation on training AI models for tumor segmentation. Federated learning allows multiple organizations to collaborate on developing an AI model without sharing sensitive data. This technique is crucial due to privacy and data management constraints, which make it difficult to share data across sites and aggregate it in one place.

Source: https://blogs.nvidia.com/

NVIDIA CEO Jensen Huang joined T-Mobile CEO Mike Sievert in a surprise fireside chat, announcing the fusion of signal processing and AI. The companies are advancing telecommunications with AI, with NVIDIA's AI Aerial platform designed to optimize network performance. The platform integrates AI and radio access networks, AI-RAN, to reshape wireless networks.

Source: https://blogs.nvidia.com/