AI Winter (Ale) episode artwork

EPISODE · May 28, 2018 · 38 MIN

AI Winter (Ale)

from PhDrinking · host PhDrinking

Machine learning is quite a hot-topic of research right now, with many different offshoots linking it to other fields of research. Scott Cambo, today's guest, studies the intersection of machine learning and human-computer interaction. In particular, he's interested in how mobile self-tracking (think FitBit) user design can increase healthy behaviors and how those apps can use better machine learning algorithms to provide more useful feedback. Suggested Reading: Course Scott is putting together on Human-Centered Machine Learning: https://scottofthescience.github.io/hcml_course/ The website for Northwestern's AI Journal Club: https://aijcnu.github.io/ Scott's lab (CollabLab): http://collablab.northwestern.edu/ Follow me: [email protected], @PhDrinking, @SadieWit, www.facebook.com/PhDrinking/ Follow Scott Cambo: @scottOfTheSci , www.ScottAllenCambo.com Thanks to www.bensound.com/ for the intro/outro Thanks to @TylerDamme for audio editing

Episode metadata supplied by the publisher feed · Published May 28, 2018

Embed this episode

NOW PLAYING

AI Winter (Ale)

0:00 38:28

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

No similar podcasts found.

Frequently Asked Questions

How long is this episode of PhDrinking?

This episode is 38 minutes long.

When was this PhDrinking episode published?

This episode was published on May 28, 2018.

Can I download this PhDrinking episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!