“Matt said that the system regularly identifies one or two areas of concern at each event, allowing components to be inspected or replaced.”

Accounting Apps Podcast · AI in Sport: How Formula One and SailGP Are Using AI, Data and Technology

Play from 11:42
11:42

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What was described

use an anomaly detection system to flag one-to-two potential component failures per event

1-2 areas of concern each event

Said nearby on the same subject

“About 158 minutes of that per week, one to two higher intensity zone 2 trainings.”
♫
Said on ZOE Science & Nutrition
How they work 158 minutes per week Share this moment
“The model is basically predicting at very high frequency… at least 50-dimensional vector… 10-20 times a second… potentially predicting one to two seconds out”
♫
Said on Latent Space: The AI Engineer Podcast
Why it worked ≈100 action dimensions, 10-20 Hz, 1-2 seconds horizon Share this moment
“We flag those things that an underwriter might have missed. We flag those discrepancies, the yellow flags, the red flags, the green flags that are sometimes buried in that information.”
♫
Said on The We Are InsurTech Women Podcast
Why it worked Share this moment
“All the code, we make all of that available open source. And we just mainly use as cheap as possible components.”
FH
Felix Hull
TED Talks Daily ·
Automation Share this moment

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