NUS-ISS StackUp Talk: AI on the Edge - Deep Learning on Small Devices

Deep learning is everywhere these days, but most models run in the cloud because of their resource needs. There’s a growing need to run AI models on smaller devices, so that they can run locally and avoid transmitting privacy-sensitive information over the network.

Come to this talk to learn more about getting deep learning models to run on small devices, such as a mobile phone or a Raspberry Pi.

We will be covering devices from large to small:

  • Deep Learning models with iOS CoreML

  • Keras/Tensorflow models on a Raspberry Pi

  • Microsoft Research's Embedded Learning Library

  • Object Detection

  • Audio Keyword Detection

  • ...and more!

This session is not a workshop. It will be a talk with demos.

Admission is Free, on a first-come-first-served basis.

If you have been thinking about transitioning to a tech-related career, let us help you get started.

For more on NUS-ISS StackUp's course offerings and tracks, click here.

Please email to

Who Should Attend

Anyone interested in AI and deep learning

Date / Time / Venue
  • 19 May 2018, Tuesday
  • 1.30 pm - 3:30 pm (Registration starts from 1.00 pm)
  • JTC Launchpad
    NUS-ISS StackUp Studio 1, #02-09
    Singapore 139957
Free Admission Register Now Registration ends
on Monday, 18 May 2018 


About NUS-ISS StackUp

Conceptualised together with technologists from successful start-up companies and the enterprise alike, NUS ISS started StackUp in 2015 to equip those who have a passion for building technology-driven products with the skillset required to engineer their own applications, fill software development roles, or establish their own start-ups.