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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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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Financial advisors weigh AI upside against demand for human advice

Morningstar research shows that more advisors are turning to generative AI for greater efficiency, while clients demand deeper advice, context and emotional support. Financial advisors rely on generative AI to manage their routine work, but remain cautious about how the technology fits into their role as relationship managers and behavioral coaches, according to Morningstar data….

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Shield AI Signs Contract with Taiwan’s National Chung-Shan Institute of Science and Technology to Accelerate and Indigenize Taiwan-Developed AI Pilots

TAIPEI, February 11, 2026 /PRNewswire/ — Shield AI today announced that it has signed a contract with Taiwan’s National Chung-Shan Institute of Science and Technology (NCSIST) to advance the development, demonstration and deployment of AI-driven unmanned systems. The collaboration will integrate Shield AI’s Hivemind platform into NCSIST’s intelligent unmanned systems, supporting both software development and…

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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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