Inference Labs

@inference_labs

Autonomy unbridled. Governed by math, not blind faith.

已收录 14 条帖子
  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 Labs @inference_labs ·
    视频封面
  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 Labs @inference_labs ·
    1/ Airports already have cameras covering stands, baggage halls, terminals, and…
  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 Labs @inference_labs ·
  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 Labs @inference_labs ·
  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 Labs @inference_labs ·
  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 Labs @inference_labs ·
  7. #7

    1/ The first generation of enterprise AI borrowed human infrastructure. Service accounts. API keys. User credentials. That worked while AI was mostly assisting people. It becomes…

    Inference Labs @inference_labs ·
  8. #8

    A 91% accuracy score is only part of the story. Sertn surfaces the dataset issues behind it too: class imbalance, blurry images, near-duplicates, unlabeled data, and tiny objects.…

    Inference Labs @inference_labs ·
    A 91% accuracy score is only part of the story. Sertn surfaces the dataset issu…
  9. #9

    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 ar…

    Inference Labs @inference_labs ·
  10. #10

    Every AI interaction today runs on trust. You send an input, you get an output, and you assume the model you were promised is the one that ran. We built every other critical indus…

    Inference Labs @inference_labs ·
  11. #11

    The interesting promise of zkML is not simply privacy. It is proving that a computation was performed correctly without exposing the sensitive input or proprietary model details b…

    Inference Labs @inference_labs ·
  12. #12

    1/ The US and China are now discussing an AI incident communication channel. Whether the incident happens inside one enterprise or between countries, the problem is similar: When…

    Inference Labs @inference_labs ·
  13. #13

    1/ We spent years building identity systems for humans. Now AI agents authenticate, call APIs, access data, and act across enterprise systems. The next question is unavoidable: Wh…

    Inference Labs @inference_labs ·
  14. #14

    Inference Labs took the stage in Dubai and came away with the audience vote. Big thanks to the Daos Hub Dubai team for bringing together founders, investors, and operators, and to…

    Inference Labs @inference_labs ·
    Inference Labs took the stage in Dubai and came away with the audience vote. Bi… Inference Labs took the stage in Dubai and came away with the audience vote. Bi… Inference Labs took the stage in Dubai and came away with the audience vote. Bi…