Nello Cristianini, University of Bristol, au Forum STIC 2014
Modern Artificial Intelligence is powered by statistical methods and fueled by large amounts of data. This reliance on machine learning enabled us to bypass the need to fully understand a phenomenon before replicating it into a computer, paving the way to much progress in fields as diverse as machine translation, computer vision, speech recognition. This approach is affecting also other disciplines : we call this the big-data revolution. For this reason, data has been called the new oil : a new natural resource, that businesses and scientists alike can leverage. Along with great benefits, this approach comes also with many risks, some linked to the changes it brings to scientific method, others due to the fact that very often the valuable data being used is our own personal data.
Modern Artificial Intelligence is powered by statistical methods and fueled by large amounts of data. This reliance on machine learning enabled us to bypass the need to fully understand a phenomenon before replicating it into a computer, paving the way to much progress in fields as diverse as machine translation, computer vision, speech recognition. This approach is affecting also other disciplines : we call this the big-data revolution. For this reason, data has been called the new oil : a new natural resource, that businesses and scientists alike can leverage. Along with great benefits, this approach comes also with many risks, some linked to the changes it brings to scientific method, others due to the fact that very often the valuable data being used is our own personal data.
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