Jack Esselink is geïnterviewd door Henrik de Gyor, podcast host van de Synthetic Media podcast, In dit interview spreken zij over deepfakes, synthetic media en ethiek. Je kan de uitzending hieronder beluisteren op Spotify of anders de Synthetic Media episode website. Jack’s master thesis over the ethische aspecten van deepfakes in de context van extreme
Jack Esselink has been interviewed by Henrik de Gyor, podcast host of the Synthetic Media podcast, about deepfakes, synthetic media and ethics. You can listen to it this podcast on Spotify below or via the Synthetic Media episode website. Jack’s thesis about the ethical implications of deepfakes in the context of extreme beliefs can be
As the end of 2021 is approaching rapidly, a lot of predictions are made for the new year. For Ai and machine learning I have read many predictions for the coming coming year, but they all boil down to one thing: AI and data are becoming more and more important and will start raising more
One of the questions I get asked a lot as a speaker and trainer in AI, machine learning and data science, is how and where to learn AI and machine learning. A lot of practitioners who are entering this field start by taking MOOC’s (massive open online courses) on platforms like Coursera, EdX or Udemy.
Every year many pundits shed their lights in the new developments in the coming year. There is much clickbait and nonsense among these articles but there are a few which I think are trustworthy. One of them is the recent 10 Breakthrough Technologies article from MIT Technology Review magazine. This is a must read page
In a recent MAPI survey 58% of the respondents indicated that the lack of (good quality) data is the main barrier to deployment of AI. In many industries data scientists and machine learning engineers need to deal with small data sets rather than big data. In this article in Industryweek you can find an excellent
