The convergence of advances in algorithms for probabilistic reasoning and the development of low-cost, easily-deployed sensors is reviving the dream of AI to develop systems that can understand the narrative of ordinary human life. On the reasoning side, the AI community is developing techniques that bridge the gap between propositional Bayesian representations and hierarchical models of goals, plans, and actions. On the sensing side, new technologies such as RFID tags, GPS, motes, and wearable multi-modal sensors allow us to gather direct information about many aspects of human experience. I will describe recent work with my students and colleagues on developing systems that learn patterns of human activity for everyday tasks, both indoors and outdoors, using a variety of dynamic probabilistic models. I will then describe applications of these techniques to healthcare systems as part of the Assisted Cognition Project, a joint effort between our departments of computer science and rehabilitation medicine.
Did you know that UBC CS is among the highest ranking universities in Canada
when it comes to percentage of female enrolment? Ladies, we’ve a movie night
just for you. Come watch Crash and
enjoy some sushi with your fellow women-at-keyboards!
This is a free event, so come on out and network with the rest of the female
CSers!
When: Friday, March 24, 2006 - 16:30 to 19:00 Where: CS Boardroom, Room X736 Tags: Social
Traditionally communications network has been considered synonymous with connectivity. Focus for network research and development was majorly on bandwidth, availability and protocol interoperability. While these factors continue to play an important role in the future network R&D, a new set of business challenges and opportunities such as mission critical business applications, self-defending security networks, and network as a distributed computing platform, is emerging and requires the attention of network researchers and developers.
In this talk, we will discuss the evolution of network intelligence and its impact on distributed computing and distributed applications. This talk assumes the perspective of a business leader or an entrepreneur and examines the potential business opportunities that are associated with this technological transformation. In particular we will discuss business cases associated with emerging technologies such as content-based message routing, network deep packet inspection, network-as-distributed-database, network-enabled stateless server, etc.
Come one, come all to the second Annual general meeting of this year! It’s a great time to come out, possibly enjoy some refreshments put out (to entice you to come), and share your thoughts and opinions on the coming term.
Meet your friendly neighbourhood CSSS execs, and year reps - all on Thursday, January 12th, at 12:30pm. See you soon!
The CSSS will be having an AGM on Thursday Sept. 22 from 12:30 - 1:30 pm. This will be happening in the Student Lounge (near Reboot Cafe). We’ll talk about some events we are planning, and then we’ll open up the floor to get feedback from students. Everyone is invited!
You should come if you:
have any suggestions or comments for CSSS
are interested in hearing about upcoming events
want to see the execs up close and in person!
want free chips!
We’ll also be giving away the prizes for the Who’s Who Contest!
The convergence of advances in algorithms for probabilistic reasoning and the development of low-cost, easily-deployed sensors is reviving the dream of AI to develop systems that can understand the narrative of ordinary human life. On the reasoning side, the AI community is developing techniques that bridge the gap between propositional Bayesian representations and hierarchical models of goals, plans, and actions. On the sensing side, new technologies such as RFID tags, GPS, motes, and wearable multi-modal sensors allow us to gather direct information about many aspects of human experience. I will describe recent work with my students and colleagues on developing systems that learn patterns of human activity for everyday tasks, both indoors and outdoors, using a variety of dynamic probabilistic models. I will then describe applications of these techniques to healthcare systems as part of the Assisted Cognition Project, a joint effort between our departments of computer science and rehabilitation medicine.
Traditionally communications network has been considered synonymous with connectivity. Focus for network research and development was majorly on bandwidth, availability and protocol interoperability. While these factors continue to play an important role in the future network R&D, a new set of business challenges and opportunities such as mission critical business applications, self-defending security networks, and network as a distributed computing platform, is emerging and requires the attention of network researchers and developers.