In regulated industries the question is no longer whether the model got it right. It is whether you can prove it got it right, months later, to someone who was not there. Those are different problems, and almost all the effort has gone into the first one.

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1. #1

   From fuel leaks to smoke and fire, many airport risks are visual before they become operational problems. @hudsongrae_me is showing how Sertn can train models to detect these anom…

   Inference LabsInference Labs @inference_labs · 1 天前

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2. #2

   1/ Airports already have cameras covering stands, baggage halls, terminals, and airfield movement. The opportunity is not always adding more hardware. It is turning existing foota…

   Inference LabsInference Labs @inference_labs · 2 天前

   
3. #3

   Long-horizon AI is making outputs much larger and workflows much harder to inspect. The challenge is no longer only whether a model can finish the task, but whether the path there…

   Inference LabsInference Labs @inference_labs · 3 天前
4. #4

   In a factory, airport, or logistics site, the physical event may last seconds. The model output may trigger a workflow immediately. Sertn is useful because evidence can be created…

   Inference LabsInference Labs @inference_labs · 4 天前
5. #5

   NVIDIA now describes physical AI safety as something that has to span hardware, software, models, sensors, and deployment. That is important. A safe robot is not just a good model…

   Inference LabsInference Labs @inference_labs · 5 天前
6. #6

   Confidential computing protects workloads while they run. Verification answers a different question: did the expected workload actually run, and can we establish that continuously…

   Inference LabsInference Labs @inference_labs · 6 天前

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