Skip to content
AI Winter (Ale) episode artwork

May 28, 2018 38 min

AI Winter (Ale)

from PhDrinking Hosted by 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 details come from the podcast's RSS feed.

Embed this episode

Ready to play

AI Winter (Ale)

0:00 38:28

No transcript yet.

Requests help us decide what to transcribe next.

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.