From Dr. Isaac Asimov’s books to modern Machine Learning methods, this talk explores how information has shaped our society. Our ability to predict the future has evolved dramatically over the years: from the fundamental laws of science – that enabled us to predict motion and forces – to the utopian Psychohistory of Asimov – where everything would be completely predictable at all times – we are now situated in the Machine Learning middle ground, in which algorithms can predict things further than ever before. Information availability was the big catalyser of such change, and in this scenario, how should we behave towards data collection, privacy and sharing? Can you be an important data point in an algorithm that will one day predict someone’s disease?
Rafael Rejtman is a Mechatronics Engineering student at the University of Sao Paulo. He went as an exchange student to U.C. Berkeley, where he got involved with entrepreneurship and co-founded Blue AI, a startup that won the 2019 HackBrazil at Harvard and MIT. Today he works with data science, pursuing new projects through the power of analytics and data. Rafael Rejtman é estudante de engenharia mecatrônica na USP, fez intercâmbio na UC Berkeley nos Estados Unidos, onde se envolveu com empreendedorismo, se tornando co-founder da Blue, ganhadora da HackBrazil no MIT em 2019. Hoje estuda ciência de dados e machine learning para impulsionar novos projetos. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx
History of the Future: can you be a datapoint? | Rafael Rejtman | TEDxInsper
11. Mai 2020 14:18
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Kategorie: TED Talks
