To predict the future potential of any technology, it used machine learning, patent network analytics, and empirical technology performance data

A team led by an Indian-origin researcher at the Massachusetts Institute of Technology (MIT) has developed a new artificial intelligence (AI) tool that can predict how fast any technology is improving, and help organisations manage research and development (R&D).

A team at the Massachusetts Institute of Technology (MIT) has developed a new artificial intelligence tool that can predict how fast any technology is improving, and help organisations manage research and development.

Une étude publiée sur Research Policy a passé au crible 97,2% des brevets américains déposés entre 1976 et 2015, qui regroupent 1757 domaines technologiques, dans le but de prédire les innovations technologiques futures

Progress depends on collective endeavour, but breakthroughs are often down to unorthodox individuals

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Some technologies improve much faster than others, and they do so at a more or less steady pace, regardless of individual breakthroughs and inventors. This should change how investors, policy makers and anyone choosing a career decides where to invest time and money.

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MIT researchers have used AI to predict which technologies are rapidly improving — and which ones are overhyped. In a new study, the team quantitatively assessed the future potential of 97% of the US patent system. The fastest-improving domains were predominantly software-related. They then converted their findings into an online system in which users can enter keywords to find improvement forecasts for specific technologies.

New research using patent data could help inform decision-makers by predicting which technologies are improving the fastest.