CrowdStrike Charlotte AI, Atera Autopilot and Microsoft 365 Copilot are among the hottest AI tools of 2025 so far.

Weather forecasting is not easy. The truth is that predicting future weather conditions over broad, or even narrow, swaths of ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Dataiku is The Universal AI Platform™, giving organizations control over their talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and ...

Code for our SIGKDD'25 paper: "BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models". The advent of universal time series forecasting models has revolutionized zero-shot ...

Times series forecasting utilizes time-stamped data — whether that is dates, years, hours, minutes, or seconds — to analyze past temporal patterns and make predictions about the future ...

Darts is Python library that aims to be the scikit-learn for time series analysis. By providing a unified and consistent API, Darts simplifies the end-to-end process of working with time series data.

Nixtla’s TimeGPT is the first to do for forecasting models what OpenAI has done for language models – making them accessible to all. Nixtla users include Ford, Walmart, FedEx, and Databricks.

The model undergoes pre-training on the extensive “Time-series Pile,” a diverse collection of public time-series data spanning various domains. Unlike many other foundational models, MOMENT is ...