FieldsLive: Live Streaming from the Fields Institute
Fields
Live is a streaming system that gives viewers the ability to watch
Fields lectures live from anywhere in the world. Developed as a new way for
the Institute to work together with our partner universities and the
scientific community, FieldsLive makes Fields lectures and courses accessible
to a global audience. To enhance the viewing experience, the system has two
unique features:
Personalized views: click to zoom in or out or pan from
side to side.
This feature is particularly useful for blackboard talks, giving viewers the
ability to choose which section of the board they want to see.
Interactive remote participation (for select events):
with just a web browser, webcam, and Flash Player plug-in, participants can ask questions and make comments from remote locations, as if they were present in
the lecture room.
An access key is required for interactive remote participation (available
for select events only). To request an access key, send an
e-mail with your name and academic affiliation to
live@fields.utoronto.ca
at least 24 hours prior to the event. No access key is needed to simply
watch and listen.
Please note: The system is currently undergoing development and
testing.
In the event of an audio or video freeze, try pressing Zoom In or Zoom Out,
or reload your browser window.
Video Archive
A few days after each lecture, a recorded video will be made available,
which can be viewed or downloaded through our
video archive.
Live Now
A few minutes before each event, a link will appear here that will
allow you to begin viewing or interacting.
This page will automatically refresh itself.
Upcoming FieldsLive Events
Monday February 2
11:05 a.m. Graduate Course on Large Scale Machine Learning
Russ Salakhutdinov: Large Scale Machine Learning, Week 5
Friday February 6
1:00 p.m. Graduate Course on Topics in Inference for Big Data
Nancy Reid and Mu Zhu: Inference for Big Data,Lecture 5
Monday February 9
11:05 a.m. Graduate Course on Large Scale Machine Learning
Russ Salakhutdinov: Large Scale Machine Learning, Week 6
Monday February 23
11:00 a.m. Graduate Course on Large Scale Machine Learning
Russ Salakhutdinov: Large Scale Machine Learning, Lecture 7
Wednesday February 25
Quantitative Finance Seminar
5:00 p.m. (first part) Joe Campolieti
5:00 p.m. (second part) Terry Rockafellar
Thursday February 26
6:00 p.m. Art/Science Salon
TBA
Friday February 27
1:00 p.m. Graduate Course on Topics in Inference for Big Data
Nancy Reid and Mu Zhu: Inference for Big Data,Lecture 6
Monday March 2
11:00 a.m. Graduate Course on Large Scale Machine Learning
Russ Salakhutdinov: Large Scale Machine Learning, Lecture 9
