At the same time, AI could disrupt the human workforce greatly, noted Kaku, who warned that a smarter future comes with tradeoffs. AI, he said, does "pose an existential threat." Much of that threat, Kaku said, involves the long-term impact on the human workforce. According to some estimates, about 30% of the activities in 60% of all occupations could be automated. The displacement is already taking place, noted Jeff Hesse, a PwC principal.

Is there one term to describe the fantastic machines and infinite computing power built around the cloud, innovative chips, and semiconductors already in use by a growing number of companies? "Artificial intelligence (AI) technology," according to SAP's senior director of advanced analytics, Chandran Saravana, on Coffee Break with Game Changers Radio, presented by SAP on May 3, 2017. He and SAP's senior director of Big Data initiatives, David Jonker, joined producer/moderator Bonnie D. Graham (follow on Twitter: @SAPRadio and #SAPRadio) for a lively discussion on "Machine Learning: Man vs. Machine Or Man Machine?" Chandran observed, "Businesses are already relying heavily on this level of AI. But when it comes to machine learning, you have to bridge a big gap to teach the machines how to learn – so machines can become smarter every day." It describes a computer science subfield that analyzes algorithms iteratively to find hidden insights, but without being explicitly told where to look.

Everything You Know About Artificial Intelligence is Wrong. Will the Singularity Artificial General Intelligence winners be Hedge Fund Managers, the Military and Spy Agencies? When Artificial Intelligence (AI) work began over 50 years ago, the AI field was directly aimed at the construction of "thinking machines"--that is, computer systems with human-like general intelligence. But this goal proved very difficult to achieve; and so, over the years, AI researchers have come to focus mainly on producing "narrow AI" systems: software displaying intelligence regarding specific tasks in relatively narrow domains. This "narrow AI" work has often been exciting and successful.