TimeNet Hosts Online Hackathon for Time Series AI
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TimeNet launched an online hackathon challenge on November 11. Participants must connect time series datasets in TimeNet format and train or fine-tune Temporal AI Models such as OpenTSLM, with tasks covering forecasting, classification, anomaly detection, and reasoning. Teams of 2–4 people can enter, and anyone can sign up, whether or not they have compute credits. Nebius provides vouchers of $100 or $500 per team per round, and a project idea must be submitted in the registration form to apply. The deadline for first-round submissions is November 22 at 23:59 PST (UTC−8).
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- Hacker News AITimeNet challenge: An online hackathon for time-series AI
The TimeNet challenge is an online hackathon where participants pick a time-series problem, onboard a 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 launches November 11 and submissions close November 22 at 11:59 p.m. PST, with judging the following Monday and more rounds to come. Teams of 2–4 can apply for $100 or $500 Nebius vouchers per round, and winning teams receive prize credits starting at $25,000 from AWS and Google Cloud, with terms and conditions applying.
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