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Real-time AI Insights: eIQ Time Series Studio Explained
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A tartalmat a Kyle Dando biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Kyle Dando vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.
Unlocking the Power of eIQ Time Series Studio for Edge AI Development
In this episode of the EdgeVerse Techcast, co-hosts Kyle Dando and Bridgette Stone are joined by Ted Kao, NXP's AI Product Marketing Director, to explore the groundbreaking eIQ Time Series Studio (TSS). They delve into how this end-to-end tool simplifies AI and Machine Learning development on NXP's Microcontrollers and Processors, integrating features like Automatic Machine Learning (AutoML) for rapid and accessible model creation. Ted highlights the numerous benefits of edge AI, the challenges of time series data, and how the Studio addresses these with seamless deployment, broad sensor support, and robust data curation features. Tune in to learn how eIQ Time Series Studio is making AI development faster and easier for developers everywhere.
Resources to begin evaluating eIQ Time Series Studio:
- www.nxp.com/eIQ
- https://mcuxpresso.nxp.com/appcodehub?search=dm-tss-powered-on-device-learning-fan-anomaly-based-on-mcxa156
00:00 Welcome to the EdgeVerse Techcast
00:28 Introducing Ted Kao and AI at the Edge
02:03 Understanding Time Series AI
02:51 Deep Dive into eIQ Time Series Studio
04:37 The Power of AutoML
06:47 Real-World Applications of Time Series AI
09:52 Data Curation and Deployment
13:00 Episode Recap and Closing Remarks
39 epizódok
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