The one-day workshop focuses on the problem of privacy-preserving machine learning in scenarios where sensitive datasets are distributed across multiple data owners. Such distributed scenarios occur quite often in practice, for example when different part...

By detecting trends that humans are unable to spot, researchers hope to treat the disorder more effectively. (more…)

A lot of machine learning startups initially feel a bit of “impostor syndrome” around competing with big companies, because (the argument goes), those companies have all the data; surely we can’t beat that! Yet there are many ways startups can, and do, su... (more…)

In a previous post I wrote about training a classifier to detect the nominee given the utterance.

Did Richard Feynman help seed a key machine learning technique in the 60s? (more…)