Category: Misc

The future of MedTech is robotic—hospitals will be fully automated, with AI-driven surgical systems, robotic assistants, and autonomous patient care…

The future of MedTech is robotic—hospitals will be fully automated, with AI-driven surgical systems, robotic assistants, and autonomous patient care transforming healthcare as we know it. Building AI-driven robotic systems poses several key challenges. Integrating data collection with expert insights is one. Creating detailed biomechanical simulations for realistic anatomy, sensors…

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Tens of thousands of companies worldwide rely on Apache Spark to crunch massive datasets to support critical operations, as well as predict trends, customer behavior, business performance and more. The faster a company can process and understand its data, the more it stands to make and save. That’s why companies with massive datasets — including
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The autonomous vehicle (AV) revolution is here — and NVIDIA is at its forefront, bringing more than two decades of automotive computing, software and safety expertise to power innovation from the cloud to the car. At NVIDIA GTC, a global AI conference taking place this week in San Jose, California, dozens of transportation leaders are
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AI is fueling a new industrial revolution — one driven by AI factories. Unlike traditional data centers, AI factories do more than store and process data — they manufacture intelligence at scale, transforming raw data into real-time insights. For enterprises and countries around the world, this means dramatically faster time to value — turning AI
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As quantum computers continue to develop, they will integrate with AI supercomputers to form accelerated quantum supercomputers capable of solving some of the world’s hardest problems. Integrating quantum processing units (QPUs) into AI supercomputers is key for developing new applications, helping unlock breakthroughs critical to running future quantum hardware and enabling developments in quantum error
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AI deployments thrive on speed, data and scale. That’s why NVIDIA is expanding NVIDIA-Certified Systems to include enterprise storage certification — for streamlined AI factory deployments in the enterprise with accelerated computing, networking, software and storage. As enterprises build AI factories, access to high-quality data is imperative to ensure optimal performance and reliability for AI
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NVIDIA today announced it is building a Boston-based research center to provide cutting-edge technologies to advance quantum computing.

AI agents are transforming work, delivering time and cost savings by helping people resolve complex challenges in new ways. Whether developed for humanitarian aid, customer service or healthcare, AI agents built with the NVIDIA AI Enterprise software platform make up a new digital workforce helping professionals accomplish their goals faster — at lower costs and
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The telecom industry is increasingly embracing AI to deliver seamless connections — even in conditions of poor signal strength — while maximizing sustainability and spectral efficiency, the amount of information that can be transmitted per unit of bandwidth. Advancements in AI-RAN technology have set the course toward AI-native wireless networks for 6G, built using AI
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Global telecommunications networks can support millions of user connections per day, generating more than 3,800 terabytes of data per minute on average. That massive, continuous flow of data generated by base stations, routers, switches and data centers — including network traffic information, performance metrics, configuration and topology — is unstructured and complex. Not surprisingly, traditional
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