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Unleashing the Power of 5G and 6G for the XR Revolution with NVIDIA Omniverse and NVIDIA GPUs

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  At the same time, extended reality (XR) technologies, including virtual reality (VR), augmented reality (AR) and mixed reality (MR), will radically change how we interact with digital media content, the success of an immersive XR revolution crucially depends on advanced wireless networks with the performance, reliability and scalability required to support such applications. This is why the fifth-generation (5G) and the forthcoming sixth-generation (6G) cellular networks will bring a wide range of capabilities that are tailor-made to support XR applications. 5G Networks: The Foundation for XR Growth 5G (fifth-generation) networks, now emerging globally and with peak data rates as high as 20 Gbps, latencies as low as 1 millisecond, and the capability to support up to 1 million devices per square kilometer, provides the basic performance and scale necessary for XR applications. Aside from looking good on the balance sheet, its huge bandwidth promises high-resolution, 360-degree streami
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Responsible AI: Part -3 of 3

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  In this final part of the series, we’ll delve into tools and frameworks related to artificial intelligence (AI). We’ll explore Responsible AI use cases across different industries. Let’s begin! 🌟 Tools and Frameworks The following tools and frameworks can help organizations ensure that AI systems are fair, transparent, and accountable: IBM AI OpenScale  is an open source platform that provides transparency and accountability in AI systems. It helps monitor, understand, and manage the performance of AI models in production. AI Fairness 360 (AIF360) is an open source toolkit that provides a comprehensive set of metrics and algorithms to help identify and address bias in AI systems. What-If Tool  is an open source platform that allows you to interactively analyze and understand the behavior of ML models. Oracle Cloud Infrastructure (OCI)  Data Science is a fully managed platform that teams of data scientists can use to build, train, deploy, and manage ML models by using Python and open
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