NVIDIA has unveiled new security innovations under its DOCA™ framework for the NVIDIA Vera BlueField-4 STX, marking a significant advancement in secure storage solutions tailored for agentic AI factories. This announcement, made today, highlights the company's commitment to enhancing data security in increasingly automated environments. The innovations aim to provide a robust infrastructure that ensures data integrity and protection against potential cyber threats, addressing the growing need for secure-by-design systems in the rapidly evolving AI landscape. By integrating these advanced security measures, NVIDIA seeks to empower businesses to leverage AI technologies while safeguarding their critical data assets.
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Original from NvidiaNews: NVIDIA Vera BlueField-4 STX Brings Agentic AI Storage Processing With In-Silicon Security
NVIDIA Vera BlueField-4 STX Brings Agentic AI Storage Processing With In-Silicon Security
RobotToday Initiative
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
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United States
Joint University of Pittsburgh and US Department of Veterans Affairs laboratory conducting rehabilitation engineering research. Develops mobility devices, assistive technologies, and medical-grade products for people with disabilities.
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Austria
Joanneum Research Institute for Robotics and Flexible Production conducts applied R&D in industrial robot systems, production automation and robot safety, offering feasibility analysis, consulting and testing in a robotics solution centre.
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Russian leading research university (ITMO University) specializing in information technology, optical engineering, and photonics. Active research programs in AI, robotics, computer vision, and cyber-physical systems.
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United States
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Norway
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