Tech Insight: TinyML

AI related technologies have been around for decades. It is nothing new despite the recent hype that has elevated AI to the forefront of the “digital” discussion. Why are we excited about AI? It is becoming increasingly ubiquitous thanks to some pivotal advancements in how and where AI can be deployed. TinyML is one of these advancements that promises to bring AI to the tiniest of things. 

neXt Curve is joined by Joe Hoffman, research director at SAR Insight & Consulting to explore the following topics:

  • What is TinyML and why is it important? – We discuss what TinyML is and the implications that it has on the world of AI computing and the new possibilities it presents for how and where ML modeling and inference can be deployed.
  • How does TinyML work in principle? – We talk about the key principles, methods and technologies that make TinyML tick and tiny.
  • What does TinyML mean for AI computing models going forward? – We discuss how TinyML will change the way that intelligent systems can be designed and deployed as well as change the way we think of computing and the applications that we build in the present and the future.
  • What are some of the ideal early applications of TinyML? – We share our hypotheses on the TinyML applications that will make a difference today and the prospects for a new breed of intelligent applications and endpoint devices operating anywhere and everywhere.

reThink Podcast featuring Joe Hoffman of SAR Insight & Consulting

For more insights on neXt Curve‘s Semiconductor and End Markets theme contact us for a detailed briefing with one of our analysts. Follow our site to get updates and notifications of our research and our 2020 research agenda.


Leonard Lee

Managing Director, neXt Curve


Joe Hoffman

Research Director, SAR Insight & Consulting

August 28, 2020

This material may not be copied, reproduced, or modified in whole or in part for any purpose except with express written permission or license from an authorized representative of neXCurve. In addition to such written permission or license to copy, reproduce, or modify this document in whole or part, an acknowledgement of the authors of the document and all applicable portions of the copyright notice must be clearly referenced.

© 2020 neXt Curve. All rights reserved.

[jetpack_subscription_form subscribe_placeholder=”Email Address” show_subscribers_total=”false” button_on_newline=”true” submit_button_text=”Subscribe” custom_font_size=”16″ custom_border_radius=”0″ custom_border_weight=”1″ custom_padding=”15″ custom_spacing=”10″ submit_button_classes=”has-text-color has-background-color has-background has-primary-background-color” email_field_classes=”” show_only_email_and_button=”true”]

Leave a comment

Your email address will not be published. Required fields are marked *