AI in Embedded Systems
In this class we look at the environment we are considering and the requirements for such systems. Overall AI approaches will be outlined.The types of devices available that make the use of AI in embedded systems will be reviewedas well as some of the expanded capabilities brought in by cloud connectivity. The idea of "toolkits" will also be introduced.
We will review in detail the algorithmic landscape making up the software and analytic side of the system.This class will provide an overview of the topic of AI/ML and some historyas well as examples of detailed algorithms.
The other side of the system is the hardware.We will discuss the advances in hardware that make the implementation of AI/ML in embedded systems.This is a fast-moving area driven by improvements in areas such as memory capacityprocessor speed and new processor types.
Embedded systems are just that—systems that interact with the environment and other systems in a complex way.This includes cloud computing resourcesedge processing and the communications to tie it all together.We will look at new devices and capabilities in this area.
Examples of embedded AI/ML will be given to give a feel for what can be done. These examples will range from simple to complex.
Louis Giokas started out in the aerospace business holding positions in development and management. At General Electric Aerospace (now part of Lockheed Martin) he held positions of software engineer, systems engineer and staff engineer. While there he worked on spacecraft and military systems. Prior to that he worked for companies such as Sperry UNIVAC and Link Simulation Systems, also working or spacecraft and military systems. Over the past two decades he has worked in the database management software area for Oracle and IBM. Over the past several years he has worked on development projects and has consulted in a number of different areas, including embedded systems. He is a long-standing member of the Institute of Electrical and Electronics Engineers (IEEE). Currently, he is the secretary of the Fox Valley Subsection of the Chicago Section and chairman of the Computer Society of the Chicago Section. He has a degree in Computer Science from Villanova University and is pursuing a MS in Applied Statistics from DePaul University.