Based on his popular AI Insider column and reader feedback, this is Dr. Eliot's highly rated introductory coverage on the emergence and advent of autonomous driverless self-driving cars. Readable for everyone, discover the underlying technology that makes self-driving cars achievable. Furthermore, learn about the key business aspects, economics, and politics that will shape the future of self-driving cars. Essential elements of Artificial Intelligence (AI) and Machine Learning are covered, along with blockchain, bitcoins, genetic algorithms, neural networks, and more.
Based on his popular AI Insider column and reader feedback, this is Dr. Eliot's highly rated introductory coverage on the emergence and advent of autonomous driverless self-driving cars. Readable for everyone, discover the underlying technology that makes self-driving cars achievable. Furthermore, learn about the key business aspects, economics, and politics that will shape the future of self-driving cars. Essential elements of Artificial Intelligence (AI) and Machine Learning are covered, along with blockchain, bitcoins, genetic algorithms, neural networks, and more.
Dr. Lance B. Eliot, MBA, PhD is the CEO of Techbruim, Inc. and Executive Director of the Cybernetic Self-Driving Car Institute, and has over twenty years of industry experience including serving as a corporate officer in a billion dollar firm and was a partner in a major executive services firm. He is also a serial entrepreneur having founded, ran, and sold several high-tech related businesses. He previously hosted the popular radio show Technotrends that was also available on American Airlines flights via their in-flight audio program. Author or co-author of a dozen books and over 300 articles, he has made appearances on CNN, and has been a frequent speaker at industry conferences. A former professor at the University of Southern California (USC), he founded and led an innovative research lab on Artificial Intelligence in Business. Known as the "AI Insider" his writings on AI advances and trends has been widely read and cited. He also previously served on the faculty of the University of California Los Angeles (UCLA), and was a visiting professor at other major universities. He was elected to the International Board of the Society for Information Management (SIM), a prestigious association of over 3,000 high-tech executives worldwide. He has performed extensive community service, including serving as Senior Science Adviser to the Vice Chair of the Congressional Committee on Science & Technology. He served as the Vice Chair of the Association for Computing Machinery (ACM) Chapter, a prestigious association of computer scientists. Dr. Eliot has been a shark tank judge for the USC Mark Stevens Center for Innovation on start-up pitch competitions, and served as a mentor for several incubators and accelerators in Silicon Valley and Silicon Beach. He served on several Boards and Committees at USC, including having served on the Marshall Alumni Association (MAA) Board in Southern California. Dr. Eliot holds a PhD from USC, MBA, and Bachelor's in Computer Science, and earned the CDP, CCP, CSP, CDE, and CISA certifications.
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