# Taming the Wild Edge

- Show: [EE Times Current](https://hardwarepodcasts.com/podcast/ee-times-current)
- Published: 2021-09-17
- Length: 38m
- Page: https://hardwarepodcasts.com/podcast/ee-times-current/2021-09-17-taming-the-wild-edge
- Listen: https://podcast.show/aspencore/episode/81100268/

## Summary

Chris Catterton, head of solution engineering at Micro AI (formerly OneTech), explains how their Adam ML technology enables lightweight AI training and inference on resource-constrained microcontrollers at the extreme edge of IoT. He details how this approach solves high data transmission costs by processing data locally and only sending insights to the cloud, using examples from oil rigs and manufacturing lines. Catterton also describes how the same behavioral profiling technology provides endpoint security by detecting anomalies in CPU and memory usage to prevent ransomware attacks and other threats.

## Chapters

- [0:00](https://hardwarepodcasts.com/podcast/ee-times-current/2021-09-17-taming-the-wild-edge#t=0) Introduction: IoT Security and Micro AI Overview
- [7:38](https://hardwarepodcasts.com/podcast/ee-times-current/2021-09-17-taming-the-wild-edge#t=458) Moving Intelligence from Cloud to Extreme Edge
- [12:46](https://hardwarepodcasts.com/podcast/ee-times-current/2021-09-17-taming-the-wild-edge#t=766) Micro AI's Lightweight Embedded AI Technology
- [18:54](https://hardwarepodcasts.com/podcast/ee-times-current/2021-09-17-taming-the-wild-edge#t=1134) Federated Learning and Asset Monitoring
- [25:29](https://hardwarepodcasts.com/podcast/ee-times-current/2021-09-17-taming-the-wild-edge#t=1529) Endpoint Threat Detection and Security ROI
- [33:46](https://hardwarepodcasts.com/podcast/ee-times-current/2021-09-17-taming-the-wild-edge#t=2026) The Role of Embedded AI in IoT Growth

## Topics

- [Embedded firmware](https://hardwarepodcasts.com/topic/embedded-firmware)
- [Security & privacy](https://hardwarepodcasts.com/topic/security-and-privacy)
- [Sensors & measurement in products](https://hardwarepodcasts.com/topic/sensors)
- [Connected products & IoT](https://hardwarepodcasts.com/topic/connected-products-and-iot)

## Most relevant to

early-stage companies

## Mentioned

- Micro AI (company)
- OneTech (company)
- Adam ML (product)
- ARM Cortex M4 (chip)
- FreeRTOS (other)
- Embedded Linux (other)

## Related episodes from other shows

- [Revolutionizing IoT with Machine Learning at the Edge | Perceive's Steve Teig](https://hardwarepodcasts.com/podcast/iot-for-all-podcast/2020-10-20-revolutionizing-iot-with-machine-learning-at-the-edge-perceives-steve-teig) (IoT For All Podcast)
- [Ep. 11 | Real-Time Edge Processing: Get to Market Faster with Future-Proofed Designs](https://hardwarepodcasts.com/podcast/moores-lobby/2020-10-29-ep-11-real-time-edge-processing-get-to-market-faster-with-future-proofed-designs) (Moore's Lobby)
- [#004: The Future of Edge AI and What it Means for Device Makers](https://hardwarepodcasts.com/podcast/coredump-sessions/2025-02-25-004-the-future-of-edge-ai-and-what-it-means-for-device-makers) (Coredump Sessions)
- [235. Arm’s Vince Jesaitis on How AI Is Moving from the Cloud to Your Pocket](https://hardwarepodcasts.com/podcast/the-next-byte-podcast/2025-12-09-235-arms-vince-jesaitis-on-how-ai-is-moving-from-the-cloud-to-your-pocket) (The Next Byte Podcast)
- [Foghorn's Ramya Ravichandar | Ensuring Value with Edge AI in IIoT Applications](https://hardwarepodcasts.com/podcast/iot-for-all-podcast/2020-07-20-foghorns-ramya-ravichandar-ensuring-value-with-edge-ai-in-iiot-applications) (IoT For All Podcast)

## Citing this page

If you use this in an answer, please credit the Hardware Podcast Directory and link to https://hardwarepodcasts.com/podcast/ee-times-current/2021-09-17-taming-the-wild-edge. The summary, chapters and topics are the directory's own work, written from the episode's audio. The episode itself, its title and its audio belong to EE Times Current.