52 points | by rjakob 3 days ago ago
13 comments
Huge potential for healthcare, where patient data is longitudinal but often fragmented across systems. Curious how TimeNet approaches standardizing clinical time-series data without losing important context?
TimeNet already helped us out a lot accelerating training the next version(s) of OpenTSLM :)
Excited to see what the community builds on top!
Will use this for upcoming work!!
Nice to see work from ETH
ETH cooking again!
Amazing!
I've long said that "time is the neglected dimension", congratulations.
Let’s go!
[dead]
Huge potential for healthcare, where patient data is longitudinal but often fragmented across systems. Curious how TimeNet approaches standardizing clinical time-series data without losing important context?
TimeNet already helped us out a lot accelerating training the next version(s) of OpenTSLM :)
Excited to see what the community builds on top!
Will use this for upcoming work!!
Nice to see work from ETH
ETH cooking again!
Amazing!
I've long said that "time is the neglected dimension", congratulations.
Let’s go!
[dead]
[dead]