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AI has got an unbelievable momentum in the past couple of years. The current intelligent frameworks have the capability of managing a lot of data and simplifying complicated calculations very fast.
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Binary Informatics E Es ss se en nt tiia all F Fa ac ct to or rs s D Dr riiv viin ng g t th he e A Ar rt tiif fiic ciia all I In nt te elllliig ge en nc ce e R Re ev vo ollu ut tiio on n AI has got an unbelievable momentum in the past couple of years. The current intelligent frameworks have the capability of managing a lot of data and simplifying complicated calculations very fast. In any case, these are not the sentient machines 4 Factors Driving This Revolution 1 Capital 2 Algorithms In this factor, Capital is “rushing” into the AI space to the tune of $2.4 billion in 2015. And the first half of 2016 alone, there were 200+ AI new businesses that raised over $1.5 billion. Algorithms can understand by (deep learning) and its hierarchical pattern recognition as a major force driving the adoption of AI. 3 Hardware 4 Data As important as hardware is to AI, large data sets are where machine learning algorithms really learn by refining hypotheses iteratively. For AI revolution, its Alphabet’s recently announced tensor processing unit (TPU), Qualcomm’s new neural processing unit (NPU), Nvidia’s deep learning chip.