Companies with a faster hiring pace tend to have higher turnover rates. At least, that is how it 'appears'.But appearances ...

When you ask an AI agent to 'investigate the cause of increased dimensional variation in this process,' the investigation ...

Relational foundation model NVIDIA Kumo Relational beats XGBoost and AutoGluon across 41 benchmark tasks on enterprise ...

Ensure data pipeline reliability and troubleshoot issues fast by using standard Python logging directly in BigQuery UDFs for real-time observability.

NVIDIA's open Kumo Tabular models predict new table rows in one forward pass, topping TabArena with commercial-use weights.

According to @_avichawla, AnyJev extracts choices, scores, and probabilities from open causal LLMs with L0–L2 calibration for better decision outputs.

Readily-available physical AI, with robotics assisting users in manufacturing, home, and warehouses scenarios, holds immense potential to improve safety, productivity, and assistance across a wide ...

Prediction is not an intervention. Follow one reproducible example from confounding to held-out residuals, then see why even a narrow DML confidence interval can be wrong. A model that predicts an ...

CAUSALab has officially launched its new online course, Causal Inference in Pregnancy (CIP). Taught by instructors Sonia Hernández-Díaz & Krista Huybrechts, Causal Inference in Pregnancy (CIP) teaches ...

Statistical correlation and probabilistic large language models hit an unyielding wall at the machine face: they systematically confuse symptoms with root causes, generating false maintenance leads ...

A short excerpt from one part of Pudans v. Frank Rieman Music, Inc., decided Wednesday by the Iowa court of Appeals (in an opinion by Judge Sharon Soorholtz Greer): Pudans and [Defendants] the ...

As agents reason, replan, call other agents, and work continuously in the background, Gartner predicts inference costs per workflow will rise more than fivefold through 2028. The good news is that ...