Feb 22, 2026 — Deconvolution problems arise in a variety of situations in statistics. An interesting problem is to estimate the density $f$ of a random variable $X$ based on $n$ i.i.d. observations from $Y = X + \va...

Feb 21, 2026 — Whitening, or sphering, is a common preprocessing step in statistical analysis to transform random variables to orthogonality. However, due to rotational freedom there are infinitely many possible whi...

Feb 20, 2026 — Track your sleep cycle and wake up gently with nature sounds in optimal phase

Feb 20, 2026 — Uncover your optimal ads strategy

Feb 20, 2026 — Learn more about the key advantages of Azure and how it is the optimal cloud for running Databricks workloads.

Feb 21, 2026 — SportsLine's AI Model has simulated the AFC and NFC Championship Games and revealed its optimal NFL prop bets

Feb 21, 2026 — Pretraining Large Language Models (LLMs) on large corpora of textual data is now a standard paradigm. When using these LLMs for many downstream applications, it is common to additionally bake in new k...

Feb 21, 2026 — Agents need context. How should we connect data to our agents for optimal context? In this session we will introduce Foundry IQ, the knowledge layer for agents, and the latest developments from Azure ...

Feb 22, 2026 — The history of mathematical statistics in the United States prior to 1885 is reviewed, with emphasis upon the works of Robert Adrain, Benjamin and Charles Peirce, Simon Newcomb, and Erastus De Forest....