This
Friday, at the Perspectives on AI event, don’t miss the Industry Panel with our
guests: Al Brown, Silvia Quarteroni, Juliette Lemaignen and Gangadhar Garipelli.
These experts will discuss the potential economic and social impact of recent
methodological developments in AI. 💡
In the past decade, deep learning became the predominant paradigm for thinking about Artificial Intelligence. However, there are many relevant scenarios where traditional deep learning methods alone are not fit-for-purpose, where large training data is not available or data is too heterogeneous and multi-modal. This compounds with the need for many critical application areas that require interpretability to be at its center, or the lack of resources to build large models. Examples where these requirements are the norm are abundant: from clinical trials, through the analysis of complex customer / behavioural / environmental data, to policy making.
In this Perspectives on AI edition, the experts will discuss emerging methods which are outside the traditional deep learning and statistics toolbox, aiming to address these challenges. Under the ethos of ‘Doing more with less’, invited speakers from academia and industry will discuss how recent methodological developments in AI and statistical methods can address existing challenges and deliver new opportunities for making sense of an increasingly complex data landscape.