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Universities in South-Holland join forces in AI research

The Erasmus University of Rotterdam works in close collaboration with TU Delft and the University of Leiden in research related to Artificial Intelligence (AI). How designers become even more creative with a robot in their team, how Twitter can possibly predict the stock market, and catching a single bacterium in the act of infecting a cell. On the mutual platform Leiden - Delft 鈥 Erasmus you find recent examples.

In the online magazine Professor of Digital Business Ting Li explains how companies can benefit from data at the Erasmus Centre for Data Analytics. You probably don鈥檛 realise it, but Google gets smarter with every search you make. 鈥淚t鈥檚 a learning algorithm and it鈥檚 becoming more and more precise. The more often we click on a page, the higher that page will appear in the list of search results鈥, she explains.

AI is everywhere

AI is everywhere, says Li. It鈥檚 in cars and banking systems, in dating sites and all over the media. Companies often use recommendation systems 鈥 a form of AI 鈥 to recommend products, such as movies on Netflix, music on Spotify, and all manner of items on Amazon. 鈥淵ou might think that you never click on those recommendations, but 30 to 35% of Amazon鈥檚 sales come from smart recommendation systems that are increasingly being fine-tuned by their data engineers鈥, she says.

Stock market forecasting with Twitter

In another project, Li is investigating whether you can predict the stock market using Twitter or Facebook. 鈥淎lgorithms can browse through those media and distil sentiments. For example, based on the sentiment 鈥楢pple did well in the first quarter鈥 you might be able to predict how their share price will go鈥, she says. It鈥檚 not certain whether this will work yet; it could also be that the sentiment only becomes more positive after the share price has risen.

Information that benefits society

It is not just about making money. 鈥淵ou could also improve your service based on such data and AI systems. For example, I work with public transport companies who want to improve their fare structure based on travel patterns, or ensure that passengers do not have to stand.鈥 Li describes the core of her research as follows: 鈥淚鈥檓 always looking to understand the relevance of information, be it for the benefit of companies, individuals or society as a whole.鈥

Read the full interview including other examples

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