Intelligence 2025 conference, co-hosted by Faculty of Engineering at Tel Aviv University and The Henry Samueli School of Engineering at the University of California, Irvine, was held in Natural History Museum Tel-Aviv last November.
The conference focused on: autonomy, smart systems, analytics, big data, machine learning and cyber physical systems.
This work presents a novel method of artificial curiosity in data science for feature selection applications. In this talk, we will describe the concept of artificial curiosity and curiosity loops, will introduce a new feature selection algorithm which is based on this concept and will share its results.
The idea that every child could have a personal robot tutor is no longer so outlandish, and some schools and countries have already introduced robots into the classroom. Our latest animated video shows how a robot uses machine learning to understand how a child’s brain learns. This allows it to tailor instruction to the needs of each individual child.