I've been spending a lot of time this week watching videos on videolectures.net (my way of celebrating Christmas). I found several that are very interesting as well as accessible to general audiences, and so I thought I'd share. The first few are short interviews with prominent machine learning researchers.
Bernhard Schölkopf (Max Planck Institute)
Tom Mitchell (CMU, chair of machine learning department)
Fei-Fei Li (UIUC -> Princeton)
Jon Kleinberg (Cornell)
Benardo Huberman (HP Labs / Stanford)
Some themes harvested from these interviews:
1) as any field matures, mathematical rigor inevitably becomes more important
2) scientific disciplines must evolve in order to pose (and answer) more challenging questions...
3) ... as such, interdisciplinary research tends to be the most compelling
4) it's difficult to predict the future, so make sure to stay flexible
5) general AI is probably still very far away
The next two are invited talks at large machine learning conferences and are a bit longer. Both are fairly high level and very well presented.
Andrew Ng (Stanford) invited talk at ICML 2008
Jon Kleinberg (Cornell) invited talk at KDD 2007