The field of AI is not new to researchers, as its foundations were established in the 1950s. After many decades of inattention, there has been a dramatic resurgence of interest in AI, fueled by a confluence of several factors. The benefits of decades of Dennard scaling and Moore’s law miniaturization, coupled with the rise of highly distributed processing, have led to massively parallel systems well suited for handling big data. The widespread availability of big data, necessary for training AI algorithms, is another important factor. Finally, the greatly increased compute power and memory bandwidths have enabled deeper networks and new algorithms capable ofaccuracy rivaling that of human perception.
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Rajiv Joshi is with IBM Research Division, USA.
Matt Ziegler is with IBM Research Division, USA.
Arvind Kumar is with IBM Research Division, USA.
Eduard Alarcon is with Technical University of Catalunya, UPC BarcelonaTech, Spain.
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