11 a.m., February 3, 2019
This fast-paced session provides a brief history of Artificial Intelligence (AI), followed by AI-related topics, such as Machine Learning, Deep Learning and Reinforcement Learning, and the most popular frameworks for Machine Learning. You will learn about some of the successes of AI, and also some of the significant challenges in AI. No specialized knowledge is required, but an avid interest is recommended to derive the maximum benefit from this session.
Oswald Campesato is a former PhD Candidate (ABD) in Mathematics, an education fanatic with multiple graduate degrees, and an author of 20 technical books. He has worked for Oracle, AAA, and Just Systems of Japan, along with various startups. He has lived/worked in 5 countries on three continents, and in a previous career he worked in South America, Italy, and the French Riviera, and has traveled to 70 countries on six continents. He has worked from C/C++/Java developer to CTO, comfortable in 4 languages, and wants to become fluent in Japanese. He has presented Deep Learning sessions at conferences, such as the Mensa Conference in SF (11/2018), Google LaunchPad, and Bay Area meetups to more than 1,200 people, and he is currently is an instructor for Deep Learning and TensorFlow as well as Machine Learning at UCSC, and a consultant who provides training primarily in Deep Learning, TensorFlow, and Android.
Slides from his talk can be found here.
Note: If you would like to speak at a Forum, or know of someone who you think might be willing to speak at a Forum, please send an email about your idea to the HCSV Program Committee.