Artificial intelligence (AI) fueled many high-profile developments in 2016.
Originally shared by Tech news
Artificial intelligence (AI) fueled many high-profile developments in 2016. We saw self-driving cars hit the streets of Pittsburgh, became familiar with helpful talking devices in our homes, and had fun playing Pictionary with a computer.
Yet, current AI-powered services generally lack the high-level comprehension and reasoning required to effect truly transformative change in enterprise. While some existing services can match or beat humans at individual tasks, it’s been hard getting machines to transfer learned knowledge and skills across multiple tasks. Without this transfer, practical applications of AI will remain restricted to one or two domains at a time.
Artificial intelligence (AI) fueled many high-profile developments in 2016. We saw self-driving cars hit the streets of Pittsburgh, became familiar with helpful talking devices in our homes, and had fun playing Pictionary with a computer.
Yet, current AI-powered services generally lack the high-level comprehension and reasoning required to effect truly transformative change in enterprise. While some existing services can match or beat humans at individual tasks, it’s been hard getting machines to transfer learned knowledge and skills across multiple tasks. Without this transfer, practical applications of AI will remain restricted to one or two domains at a time.
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