# Daniel Situnayake

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Machine Learning with Microcontrollers Hack Chat

Multistreaming with https://restream.io/ “Ladyada” Fried and pt will host the Hack Chat on Wednesday, September 11, 2019 at noon PDT / 3PM EDT – Hackaday. Click here to join – hackaday.io https://hackaday.io/messages/room/2369 We’ve gotten to the point where a $35 Raspberry Pi can be a reasona...

#100 Embedded Machine Learning on Edge Devices

Machine learning models are often thought to be mainly utilized by large tech companies that run large and powerful models to accomplish a wide array of tasks. However, machine learning models are finding an increasing presence in edge devices such as smart watches. ML engineers are learning how...

Edge Impulse with Daniel Situnayake

Today, we spoke with Daniel Situnayake of Edge Impulse. We discussed AI, machine learning, edge devices, TinyML and AI tool chain.             Sponsorship inquiries: sponsor@softwareengineeringdaily.com The post Edge Impulse with Daniel Situnayake appeared first on Software Engineering Da...

Edge Impulse with Daniel Situnayake

Today, we spoke with Daniel Situnayake of Edge Impulse. We discussed AI, machine learning, edge devices, TinyML and AI tool chain.             Sponsorship inquiries: sponsor@softwareengineeringdaily.com The post Edge Impulse with Daniel Situnayake appeared first on Software Engineering Da...

Machine Learning and Privacy at the Edge with Edge Impulse’s Daniel Situnayake

Edge devices are hardware devices that sit at the edge of a network. They could be routers, switches, your phone, voice assistant, or even a sensor in a factory that monitors factory conditions. Machine learning on the edge combines ideas from machine learning with embedded engineering. With mac...

437: Chirping With the Experts

Daniel Situnayake joined us to talk about AI, embedded systems, his new book on the previously mentioned topics, and writing technical books. Daniel's book is AI at the Edge: Solving Real-World Problems with Embedded Machine Learning from O'Reilly Media. He is also the Head of Machine Learnin...

Daniel Situnayake: AI on the Edge

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, a...

Generative AI at the Edge with Daniel Situnayake, Head of ML and Jenny Plunkett, Senior Developer Relations Engineer at Edge Impulse

How is AI being used at the edge, and what possibilities does this create for businesses? In this episode, host Bill Pfeifer sits down with the co-authors of the book AI at the Edge, Jenny Plunkett, Senior Developer Relations Engineer and Daniel Situnayake, Head of ML at Edge Impulse. They discus...

Edge AI Myths and Realities

What’s up with AI at the edge? Who better than Daniel Situnayake, Director of ML at Edge Impulse and co-author of the TinyML book (https://www.oreilly.com/library/view/tinyml/9781492052036/) among other things, to respond to this question and share his perspective about Edge AI Myths and Realiti...

#007 - Unlocking the Potential of AI in Embedded Systems with Daniel Situnayake

SummaryIn this conversation, Jacob and Daniel Situnayake discuss the future of AI and machine learning in embedded software development. They explore the challenges and opportunities of implementing AI and machine learning at the edge, and how tools like TensorFlow Lite for Microcontrollers and E...