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Advancing Semiconductor Innovation Across Materials Engineering and Manufacturing

27 July 2026 at 00:45
As AI workloads increase, explosive compute demand is pushing the semiconductor industry to meet unprecedented performance targets. Even small delays can have...

As AI workloads increase, explosive compute demand is pushing the semiconductor industry to meet unprecedented performance targets. Even small delays can have outsized financial impact in fast-moving AI hardware cycles. Simultaneously, the shift from chip-level optimization to system-level engineering is compounding thermal and power challenges. Meeting these demands requires breakthroughs…

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Building an Analysis AI Agent for Industrial Alarm Management with NVIDIA Nemotron

7 July 2026 at 17:00
Industrial machinery generates more alarms than technicians can triage. For each important alarm requiring follow-up, the technician pulls historical context,...

Industrial machinery generates more alarms than technicians can triage. For each important alarm requiring follow-up, the technician pulls historical context, determines the correct procedure, checks whether a specialist signal confirms the failure mode, and writes up a recommendation. This process remains consistent, and is well-suited for an AI agent. This post discusses a per-alarm…

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Inside NVIDIA Halos for Robotics: A Full-Stack Functional Safety System for Physical AI

Physical AIβ€”robots working autonomously alongside people in factories, warehouses, hospitals, and homesβ€”is arriving faster than most expected. Traditional...

Physical AIβ€”robots working autonomously alongside people in factories, warehouses, hospitals, and homesβ€”is arriving faster than most expected. Traditional safety which was built for structured environments can not work anymore as the spaces become more unstructured and robots move out of cages. AI-driven safety is the key. Marking a major milestone in the arrival of physical AI…

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