TimeNet 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.