TimeNet launches online hackathon for time-series AI
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TimeNet has launched an online hackathon that asks teams of two to four people to onboard a time-series dataset in TimeNet format and train or fine-tune a Temporal AI Model such as OpenTSLM for tasks including forecasting, classification, anomaly detection and reasoning. Round 1 opened on November 11 and closes on November 22 at 11:59 p.m. PST, with more rounds to follow. Nebius offers each team $100 or $500 vouchers per round, and winning teams receive prize credits starting at $25,000 from AWS and Google Cloud. Anyone can register and take part with or without credits, though credits are not guaranteed.
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- Hacker News · AITimeNet Challenge: An Online Hackathon for Time-Series AI
The TimeNet Challenge is an online hackathon that asks teams of 2–4 to onboard a time-series dataset in TimeNet format and train or fine-tune a Temporal AI Model such as OpenTSLM for tasks like forecasting, classification, anomaly detection or reasoning. Round 1 launched November 11 and closes November 22 at 11:59 p.m. PST, with more rounds to come. Nebius offers $100 or $500 vouchers per team per round, and winning teams receive prize credits starting at $25,000 from AWS and Google Cloud.
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