Episode 29 - Daphne Koller
Daphne Koller, formerly at Stanford University and cofounder of the online education company, Coursera, talks this week about using machine-learning to develop new drugs. Her approach is to use machin...
11 Des 201943min
Episode 28 - Aude Billard
My guest this week, Aude Billard from Switzerland's Learning Algorithms and Systems Laboratory, blends control theory with machine learning to build robotic systems that are both swift and precise but...
24 Nov 201934min
Episode 27 - Eric Schmidt and Robert O. Work
Former Google chief executive Eric Schmidt and former Deputy Defense Secretary Bob Work, co-chairs of the U.S. National Security Commission on AI, talk about the challenges the government faces in win...
4 Nov 201946min
Episode 26 - Labelbox
The secret in much of artificial intelligence today is that it depends on hordes of unskilled workers to label the data used to train supervised learning models. But, in order for data science teams t...
24 Okt 201937min
Episode 25 - Dawn Song
This week, I talk to Dawn Song, one of the world's foremost experts in computer security, about her vision of a new paradigm in which people control their data and are compensated for its use by corpo...
10 Okt 201933min
Episode 24 - Climate Change and AI
A few months ago at the recent international conference on machine learning, a workshop and research paper launched a movement to use machine learning in addressing climate change. The response was hu...
25 Sep 201947min
Episode 23 - AutoML with Determined AI
Automated machine-learning tools – or tools that automate the creation of machine-learning applications – are increasingly important in the current talent-scarce environment. Expensive ML engineers sh...
11 Sep 201954min
Episode 22 - Brendan McCord
This week, I talk to Brendan McCord, who wrote the Pentagon's AI strategy and is now a Special Government Employee at the National Security Commission on AI. Brendan talks about what he believes the U...
29 Aug 201958min
