Into the Omniverse: Physical AI Open Models and Frameworks Advance Robots and Autonomous Systems

Editor’s note: This article is part of In the Omniversea series focused on how developers, 3D practitioners and businesses can transform their workflows using the latest advancements in OpenUSD And NVIDIA Omniverse. Open source has become essential to drive innovation in robotics and autonomy. By providing access to critical infrastructure – from simulation frameworks to…

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Top 20 AI GRC Software & Technologies in 2026

As AI systems integrate into business processes, organizations face growing AI governance, risk, and compliance needs. In our prior research, we tested AI risks in practice with an AI bias benchmark, finding persistent bias around race, gender, and socioeconomic assumptions in several models. These findings underscore the importance of AI GRC tools, which help continuously…

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Penn professors discuss artificial intelligence classroom policies, University initiatives

As classrooms continue to integrate artificial intelligence tools across campus, Penn professors spoke to The Daily Pennsylvanian about how they are adopting the technology without compromising the learning process. Penn first announced its university-wide AI policy in November 2023, which outlined formal guidelines for the use of generative AI and machine learning tools. While the…

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Agentic AI edges closer to everyday production use

Many security and operations teams now spend less time wondering whether agentic AI has a place in production and more time determining how to run it securely at scale. A new research report from Dynatrace examines how large organizations are moving agentic AI from pilot projects to real-world environments and where these efforts are stagnating….

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Heterogeneous computing and the future of AI

Heterogeneous computing is quietly redefining how AI appears in everyday devices, bringing intelligence closer to where people actually use it rather than keeping it locked in remote cloud systems. As AI expands into physical products, success depends less on raw performance and more on how efficiently CPUs, GPUs, and NPUs work together. Heterogeneous computing manifests…

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