Daniel Situnayake: AI on the Edge

Daniel Situnayake: AI on the Edge

Author: Daniel Bashir April 6, 2023 Duration: 1:58:07

In episode 67 of The Gradient Podcast, Daniel Bashir speaks to Daniel Situnayake.

Daniel is head of Machine Learning at Edge Impulse. He is co-author of the O’Reilly books "AI at the Edge" and "TinyML". Previously, he’s worked on the Tensorflow Lite team at Google AI and co-founded Tiny Farms, an insect farming company. Daniel has also lectured in AIDC technologies at Birmingham City University.

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Outline:

* (00:00) Intro

* (1:40) Daniel S Origin Story: computer networking, RFID/barcoding, earlier jobs, Tiny Farms, Tensorflow Lite, writing on TinyML, and Edge Impulse

* (15:30) Edge AI and questions of embodiment/intelligence in AI

* (21:00) The role of hardware, other constraints in edge AI

* (25:00) Definitions of intelligence

* (29:45) What is edge AI?

* (37:30) The spectrum of edge devices

* (43:45) Innovations in edge AI (architecture, frameworks/toolchains, quantization)

* (53:45) Model compression tradeoffs in edge

* (1:00:30) Federated learning and challenges

* (1:09:00) Intro to Edge Impulse

* (1:20:30) Feature engineering for edge systems, fairness considerations

* (1:25:50) Edge AI and axes in AI (large/small, ethereal/embodied)

* (1:37:00) Daniel and Daniel go off the rails on panpsychism

* (1:54:20) Daniel’s advice for aspiring AI practitioners

* (1:57:20) Outro

Links:

* Daniel’s Twitter and blog

* Edge Impulse



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Hosted by Daniel Bashir, The Gradient: Perspectives on AI moves beyond surface-level headlines to explore the intricate machinery and human ideas shaping artificial intelligence. Each episode is built on a foundation of deep research, leading to conversations that are both technically substantive and broadly accessible. You'll hear from researchers, engineers, and philosophers who are actively building and critiquing our technological future, discussing not just how AI systems work, but the larger implications of their integration into society. This isn't about speculative hype; it's a grounded examination of real progress, persistent challenges, and ethical considerations from those on the front lines. The discussions peel back layers on topics like model architecture, policy, and the fundamental science behind the algorithms becoming part of our daily lives. For anyone curious about the substance behind the buzz-whether you have a technical background or are simply keen to understand a defining technology of our age-this podcast offers a crucial and thoughtful resource. Tune in for a consistently detailed and nuanced take that treats artificial intelligence with the complexity it deserves.
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