Moshe Sipper

Research

Nowadays I focus on machine learning, deep learning, evolutionary computation, and general issues regarding AI.

In the past I dabbled in all kinds of stuff, including: artificial life, artificial neural networks (before they became deep learning…), artificial self-replication, bio-inspired computing, cellular automata, cellular computing,​ embryonic electronics, evolutionary robotics, evolvable hardware, fuzzy logic, game AI, and search-based software engineering.

Honors

Grad students​(past and present)

מכל תלמידיי השכלתי
Tal Alter ◦ Itay Azaria ◦ Yaniv Azaria ◦ Gali Barabash Katz ◦ Amit Benbassat ◦ ​Mati Bot ◦ Carmel Bregman ◦ Mathieu S. Capcarrère ◦ Tal Cohen ◦ Achiya Elyasaf ◦ Assaf Glazer ◦ Rotem Golan ◦ Tomer Halperin ◦ Zvika Haramaty ◦ Yehudit Hasson ◦ Ami Hauptman ◦ Tor Ivry ◦ ​Ram Janovski ◦ Ilan Kadar ◦ Raz Lapid ◦ Shahar Michal ◦ Eylon Mizrahi ◦ Barak Naveh ◦ Michael Orlov ◦ Carlos-Andres Peña-Reyes ◦ Hagai Ravid  ◦ Itay Reznik ◦ Eyal Segal ◦ Shai Sharabi ◦ Ohad Sharet ◦ Yonatan Shichel ◦ Sergey Tatarenko ◦ Itai Tzruia ◦ Snir Vitrack Tamam ◦ Kfir Wolfson ◦ Assaf Zaritsky ◦ Yael Zaritsky

Publications

Tips for Approaching a Prospective Academic Grad Advisor

Resources: Evolutionary Algorithms, Machine Learning, Deep Learning