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- At the age of 25, with more than 6 international publications at the time, he has co-founded with Dr Emile Contal and Dr Sebastian Thrun a company in Artificial Intelligence, Crossing Minds, and raised more than 5 million dollars to create the most personalized and empathetic recommendation engine named h.ai In 2017, Alexandre became a global sensation after YSL featured him as their AI ambassador and was also invited to the International St Gallen Symposium in Switzerland as one of the 100...
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Alexandre earned his first two Master’s degrees in Mathematics and Machine Learning at the age of 23 from ENS Paris Saclay. Alexandre had his work published at the age of 21 and held two 4-year positions as a researcher under Pr. Sebastian Thrun (founder of Google X) and Pr. Silvio Savarese.
Dec 17, 2023 · Rachel Skarsten shared her first photo on Instagram with Alexandre Robicquet in February 2018, and has since posted a fair bit about how much she cares for him. Clearly, Skarsten loves sharing her love with her followers and showing off her husband.
Aug 18, 2023 · Expert in artificial intelligence and human behavior prediction, Alexandre earned his first two Master's degrees in Mathematics and Machine Learning at the age of 23 from ENS Paris Saclay, with...
Robicquet was born on December 12, 1990 in France. He published his first international publication in AI at the age of 21 and completed his first 2 masters at the age of 23 from Ecole Normale Supérieur Paris-Saclay.
- French
- France
May 11, 2023 · Alexandre Robicquet CEO & Co-Founder Alexandre earned his first two Master’s degrees in Mathematics and Machine Learning at the age of 23 from ENS Paris Saclay.
Jan 12, 2019 · Specialized in artificial intelligence, machine learning, and deep learning. | Learn more about Alexandre R.'s work experience, education, connections & more by visiting their profile on LinkedIn
- 6K followers
Dec 9, 2022 · Today, Crossing Minds is a B2B AI-powered platform helping businesses of all kinds deliver highly personalized recommendations without the need for customers’ demographic data, like their age, gender, and location.
