Seminar: Networking in Space

Speaker: Prof Mark Handley, UCL
UCL Contact: Fleur Adolphe (Visitors from outside UCL please email in advance).
Date/Time: 24 Oct 18, 13:00 - 14:00
Venue: Elvin Hall, UCL Institute of Education
Further Information: Register online ...

Abstract

Several consortia are planning to build dense low Earth orbit (LEO) satellite constellations in the next few years. Of these, SpaceX is the most ambitious. Filings with the US Federal Communications Committee detail a constellation referred to as Starlink, consisting of 4,425 LEO communication satellites. It will use phased array antennas for up and downlinks and laser communication between satellites to provide low-latency high bandwidth coverage over most of the world. A subsequent phase may add another 7,518 satellites in very low earth orbit (VLEO), increasing capacity and further reducing latency.

LEO constellations such as Starlink have the potential to revolutionize wide-area Internet communications. To understand the latency properties of such a network, we built a simulator based on public details from the FCC filings. In this talk, I will discuss possible ways to use the laser links to provide a network, and look at the problem of routing on this network. I will present preliminary results on how well such a network can provide low-latency communications, and examine its multipath properties. Such networks are very different from the current Internet. To achieve low latency, the path used must constantly change. Not only do link latencies change as satellites move overhead of groundstations, but latencies between satellites in crossing orbits change too, and those links are usually of short duration.

I conclude that a network built in this manner can provide lower latency communications than any possible terrestrial optical fiber network for communications over distances greater than about 3000 km. However, to achieve these benefits in a practical network will involve re-thinking many of the systems we take for granted in the current Internet.

Inaugural Lecture - Jun Wang: On the Possibility and Engineering of Machine Consciousness

Speaker: Prof Jun Wang, UCL-CS
UCL Contact: Fleur Adolphe (Visitors from outside UCL please email in advance).
Date/Time: 06 Nov 18, 17:30 - 18:30
Venue: Roberts G08
Further Information:

There will be refreshments available.

Please register online.

Abstract

In human history, mankind is, for the first time, ready and possible to build up an algorithmic driven society where many AI (Artificial Intelligence) entities “live”, learn, and interact with each other and most crucially with human beings. In this talk, I shall reflect on the recent progress of narrow AI and machine learning research, and discuss my personal view on the road map towards general AI. While reviewing our recent research on multiagent learning, I will also give a quick reference to the recent scientific studies of human consciousness and point out the pros and cons of the current machine learning methods for intelligent decision making. At the end of the talk, the potential links between the two scientific disciplines are suggested, and some of our early research attempts are presented.

Prof Jun Wang

Jun Wang is Professor of Information Systems and Data Science, Computer Science, University College London, and Founding Director of MSc Web Science and Big Data Analytics. He is also Co-founder and Chief Scientist in MediaGamma Ltd, a UCL start-up company focusing on AI for intelligent audience decision making.

Prof. Jun Wang’s main research interests are in the areas of AI and intelligent systems, including (multiagent) reinforcement learning, deep generative models, and their diverse applications on information retrieval, recommender systems and personalization, data mining, smart cities, bot planning, computational advertising etc. His team won the first global real-time bidding algorithm contest with 80+ participants worldwide. Jun has published over 150 research papers and is a winner of multiple “Best Paper” awards. He was a recipient of the Beyond Search – Semantic Computing and Internet Economics award by Microsoft Research and also received Yahoo! FREP Faculty award. He has served as an Area Chair in ACM CIKM and ACM SIGIR. His recent service includes co-chair of Artificial Intelligence, Semantics, and Dialog in ACM SIGIR 2018. MediaGamma has received the UCLB One-to-Watch award 2016.

Prof. Wang obtained his PhD degree in Delft University of Technology, the Netherlands; MSc degree in National University of Singapore, Singapore; and Bachelor degree in Southeast University, Nanjing, China.