Source: venturebeat.com --- Wednesday, June 22, 2016
VB LIVE: Microsoft got into the AI game early but its chatbot Tay was yanked within twenty-four hours after it all went horribly wrong. Still, there’s no slowing down of the bot revolution, and many will succeed where Microsoft failed. How do you minimize risk and maximize the returns of AI? Register for free to find out. Ron Bachman, former chief scientist at Yahoo and incoming director of the Jacobs Technion-Cornell Institute at Cornell, saw Siri come to life. In the 2000s at DARPA, the U.S. Department of Defense’s technology agency, Bachman launched the multiyear, ambitious project that combined machine learning, knowledge bases, action planning, and perception, and eventually spun out the technology that became Siri. However, he acknowledges that Siri and programs like her have major drawbacks, which hasn’t even slightly dampened the rabid expectations from investors for AI. The problem, Bachman says, is that human intelligence is a far more intricate, interconnected tapestry of complex capabilities than can currently be captured in a machine smart enough to perform flawlessly in the roles we’re dreaming up for them. “Intelligence has many, many elements to it,” Bachman warns, from natural language and the ability to work in abstractions to a visual intelligence so complex it allows us to predict behaviors and events and respond and plan accordingly. “So if you think about that and you look vertically, you can see many places ...
from Microsoft http://ift.tt/28PiCyS
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