Edge AI for a Sustainable Future
Offered By: tinyML via YouTube
Course Description
Overview
Explore the intersection of Edge AI and sustainability in this keynote address by Alessandro Cremonesi, Chief Innovation Officer of STMicroelectronics, at the tinyML Foundation EMEA 2024 conference. Delve into the semiconductor industry's pivotal role in advancing sustainable AI technologies, with a focus on TinyML. Examine the growing impact of Generative AI on the semiconductor market and its projected growth. Confront the energy challenges posed by AI training and data centers, and discover innovative solutions like 2-nanometer processes and silicon photonics. Investigate the practical applications of virtualization in industrial settings, emphasizing efficiency gains through edge computing in machinery control and predictive maintenance. Learn how edge AI integration in everyday devices leads to significant energy and water savings. Uncover the potential of generative AI at the edge for enhancing user interfaces and device interactivity. Gain insights into the unique challenges faced by embedded software engineers, machine learning engineers, and hardware engineers in developing edge devices. Discover a unified tool suite from STMicroelectronics that optimizes algorithms for various hardware, driving innovation in intelligent sensing, computing, and actuation. Conclude with a forward-looking exploration of Generative AI's transformative potential in healthcare, from surgical robotics to advanced human body models and drug testing.
Syllabus
tinyML Foundation EMEA 2024 Keynote: Alessandro Cremonesi - Edge AI for A Sustainable Future
Taught by
tinyML
Related Courses
Deploying TinyMLHarvard University via edX Learning TinyML
LinkedIn Learning Create and Connect Secure and Trustworthy IoT Devices
Microsoft via YouTube Speech-to-Intent on MCU: TinyML for Efficient Device Control - Lecture 6
Hardware.ai via YouTube Wio Terminal TinyML Course - People Counting and Azure IoT Central Integration - Part 3
Hardware.ai via YouTube