EdgeAI: running ML models on embedded HW – David Filip

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EdgeAI means that ML models are processed locally on a hardware device by using data that are generated by the device itself. By using readily available platforms you can easily create smart devices that are able to interact with the outside world.

In this talk, we are going to talk about embedded platforms that can run your ML models. We are also going to talk about sensors and how to connect data signal to model itself. In the last part of the talk, I will take a few hardware components and we will build something interesting. You might even see me burning some expensive hardware.

David Filip is a software developer. For the past two decades, he keeps failing to build his own startups as well as helping other companies build new software. From VC funded Silicon Valley consumer-grade software to laboratory instruments. Most of his work is about interfacing with hardware or printing stuff on paper. Nobody ever wanted to learn about latter.

Language: English

- Talk
- Discussion
- Networking (ImpactHub)

Machine Learning Meetups (MLMU) is an independent platform for people interested in Machine Learning, Information Retrieval, Natural Language Processing, Computer Vision, Pattern Recognition, Data Journalism, Artificial Intelligence, Agent Systems and all the related topics. MLMU is a regular community meeting usually consisting of a talk, a discussion and subsequent networking. At the end of the year 2016, MLMU also spread to Brno and Bratislava.