Simone Scardapane is a very talented AI and researcher and developer. He told us some of the news in the field of AI from F8 2018.
Hello Simone. At one of the AperiTech meetups you gave the talk entitled “AI in the news: what’s new from F8 2018”. Could you tell us a littlemore about this talk?
The talk was an, as there is a lot of confusion about what and are and about the speed at which these technologies are evolving. Especially from some news sources that favour news with little to no technical accuracy. So I decided to do a reasoned press review, about the last Facebook conference, to help people understand what the really interesting news and technologies were, such as those to follow and those to ignore, in order to provide a guide for developers beginning to take an interest in the world of . I think Facebook F8 is a good conference for this topic, as well as IO or the TensorFlow Dev Summit.
Would you like to prepare another talk related to this topic?
The idea for this talk came fromlast year, seeing how little clarity there was in journalistic information and to deal with this topic from the developer’s perspective. Then I developed it in a summary talk including all the year’s major news stories. I definitely think I can repeat it.
Any tips for those who would like to know more about this topic?
I’d recommend webinars and online courses such as Andrew Ng’s one, or courses onlike the one by Luca Naso, which lets you use it in manageable chunks according to the time you’ve got available. Then to stay up-to-date, I recommend meetups and blogs on the topic.
Simone, you are one of thespeakers and one of the leaders of the Data Science community. For those who did not have a chance to meet you in person, could you tell us a about yourself?
I’m a researcher at Sapienza University and I deal with. In my free time, I actively participate, including as a speaker, in some on this topic. I also manage the Data Science community and a cultural association, the Italian Association for , to promote some initiatives. I studied computer engineering and then I did my Master’s degree in artificial intelligence and robotics. I worked a as a developer for a in , but I realised that my passion was , which is why I decided to do a doctorate degree before becoming a researcher for Sapienza. When it comes to my hobbies, I love reading, watching movies and TV series.
Could you tell us why you decided to become a researcher? What is your main source of information when it comes to ML?
This field ofis very special, as anyone who’s got involved in it can confirm. I really like working alone, both for theoretical and practical . I wanted to stay in , because I love and choosing this kind of career was a wise choice. In the first year of my studies, I mostly read foreign books and research. Now the situation has improved and it’s possible to find some good material in Italian, both articles and books. I also participate in a couple of conferences a year, especially for networking and getting to know other developers interested in . The main source of information for me is the , thanks to the incredible speed of publication on a global scale.