AIStream aims to to democratize access to deep learning techniques as well as apply them to high impact areas. At the moment many deep learning techniques are simply published at research conferences but then never utilized or only leveraged by large companies that can afford full-time research labs 😞.

In particular, right now AIStream is focused on developing open source deep learning for 📈time series forecasting, classification, and anomaly detection frameworks/systems. We hope that these tools can help small businesses, non-profits, and researchers in disciplines with temporal data (ecology, healthcare, hydrology, etc) leverage the full power of deep learning models for time series analysis and prediction. Secondly, we are also focused on applying these tools to a number of high impact AI4Good areas. Specifically we are interested in forecasting COVID-19 spread and the impact of policy interventions🦠, predicting flash floods and droughts 🏞️, and predicting patient vitals/risk of decline in the ICU 🤒.

All of AIStream's work is open, transparent and well documented. Sponsorship is important as it helps pay for cloud infrastructure for experiments, living expenses of core contributors (some of whom dedicate tremendous amounts time), and funding sprints/other developer events.