In the past decade there has been a significant increase in the collection of personal information and communication metadata (with whom users communicate, when, how often) by governments, Internet providers, companies, and universities. While there are many ongoing efforts to secure users' communications, namely end-to-end encryption messaging apps and E-mail services, safeguarding metadata remains elusive.
Following the progress in computing and machine learning algorithms as well as the emergence of big data, artificial intelligence (AI) has become a reality impacting every fabric of our algorithmic society. Despite the explosive growth of machine learning, the common misconception that machines operate on zeros and ones, therefore they should be objective, still holds. But then, why does Google Translate convert these Turkish sentences with gender-neutral pronouns, “O bir doktor. O bir hemşire”, to these English sentences, “He is a doctor. She is a nurse”?
The hybrid fiber-coaxial network has evolved since 1997 to become the most popular broadband technology passing 97% of American homes and offering gigabit speeds. This presentation will cover the physical layer hybrid fiber coaxial network and the data over cable (DOCSIS) implementation used by US operators. In addition to the core technology, we will discuss the practical operation and evolution of cable-based broadband access.
New Faculty: Kristin Stephens-Martinez
Sudeepa Roy: Making Sense of “Big Data” Databases
As numbers and facts continue to accumulate in today’s world of big data, a growing challenge is how to sift through the reams of data for relevant discoveries. Enter Sudeepa Roy, assistant professor of computer science. Roy is a database researcher who is creating new ways to help mine enormous data sets for meaning. More
Panigrahi Receives NSF CAREER Award
Debmalya Panigrahi has received a CAREER Award from the National Science Foundation for a project entitled "CAREER: New Directions in Graph Algorithms." Total funding will be $515,998 over 5 years. The award will support Panigrahi's research into fundamental problems in graph algorithms seeking generic solutions for core algorithmic challenges in modern networks: efficiency at scale, uncertainty and impreciseness of network requirements, and correlation effects. This is NSF's most prestigious award in support of junior faculty. More