Machine learning (ML) and artificial intelligence (AI) were once the domain of computer scientists proficient in advanced programming languages with access to high-performance supercomputers. Over the past few years, advances in low-cost graphics processing units (GPUs) and intuitive, drag-and-drop graphical programming environments have allowed non-programmers and hobbyists to quickly develop and implement advanced AI models without writing, executing, and debugging lines of code.
This session will provide participants with a brief overview of AI applications and discuss how to obtain the hardware and software to build your own advanced AI systems. Live demonstrations will also be presented showing how Do-It-Yourself AI can be used for facial expression measurements (happiness scoring), handwriting recognition, and for identifying the artist of paintings.
Dr. Ralph Reda, Adjunct Professor of Physics and Instructor of Business Analytics, UNCW
Prior to joining UNCW, Dr. Reda spent 28 years with the General Electric Co. working in the power generation and homeland security businesses. Dr. Reda is also the founder and chief scientist of red A Scientific, a technical consulting, research and education firm.