2018 30th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD)
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Abstract

With the availability of both large compute power and large data sets, we have witnessed a revolution in machine learning technology, which has become a mainstream tool for both business and scientific applications. This revolution is likely to accelerate, as even more compute power is brought to bear, and deliver many of the promises of artificial intelligence. In this talk we will investigate how far the impacts of machine learning can go. We will cover the new Summit supercomputer, which brings unprecedented compute capabilities to both traditional high performance computing and artificial intelligence problems, analyzing the similarities as well as the differences in those two fields. We will also speculate about the future of machine learning and, in particular, its possible limitations. We will conclude with a discussion of one of the most important scientific questions of our time: Is consciousness computable?