אירועים והרצאות בפקולטה למדעי המחשב ע"ש הנרי ומרילין טאוב

In recent years, machine learning (ML) has fueled extraordinary advances in fields such as natural language processing and computer vision. These results have encouraged researchers to utilize ML in additional application domains, such as computer and networked systems, with varying degrees of success. In this talk I will focus on the prominent challenge of rate control in computer networking, and devising a practical ML toolkit for the safe deployment of deep-learning-based solutions.

Noga H. Rotman is a PhD student at the Hebrew University, advised by prof. Michael Schapira. Her research focuses on the intersection between computer networks and machine learning.