all AI news
MOMENT: A Foundation Model for Time Series Forecasting, Classification, Anomaly Detection and Imputation
April 26, 2024, 8:38 p.m. | /u/nkafr
Data Science www.reddit.com
Building upon the work of TimesNet and GPT4TS, MOMENT unifies multiple time-series tasks into a single model.
You can find an analysis of the model [here](https://aihorizonforecast.substack.com/p/moment-a-foundation-model-for-time).
anomaly anomaly detection building carnegie mellon carnegie mellon university classification cmu datascience detection forecasting foundation foundation model imputation moment multiple series tasks time series time series forecasting university work
More from www.reddit.com / Data Science
Technical Discussion & Case Study Interviews
1 day, 4 hours ago |
www.reddit.com
Recommendation for Coursera or Udemy courses?
1 day, 16 hours ago |
www.reddit.com
Opportunity or Career Detriment?
1 day, 17 hours ago |
www.reddit.com
Jobs in AI, ML, Big Data
Artificial Intelligence – Bioinformatic Expert
@ University of Texas Medical Branch | Galveston, TX
Lead Developer (AI)
@ Cere Network | San Francisco, US
Research Engineer
@ Allora Labs | Remote
Ecosystem Manager
@ Allora Labs | Remote
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US