Why marketing mix modeling is still hard to get right

Open-source tools have made MMM more accessible, but reliable results still depend on clean data, thoughtful modeling, and ...

Five-agent AI team could speed clinical trial design using real-world patient records

An artificial intelligence system that operates like a collaborative team of medical experts could accelerate clinical trial ...
GitHub

causal-falsify: A Python library with algorithms for falsifying unconfoundedness assumption in a composite dataset from multiple sources.

We have implemented three falsification algorithms, which can be used complementarily: Hierarchical Graphical Independence Constraint (HGIC) Test: This test jointly assesses whether unconfoundedness ...
Finextra

Why AI Governance Frameworks Are Failing — and What a Causal Model Does Differently

Every major consultancy is selling an AI governance framework right now. The market is crowded: maturity models, policy templates, ethics checklists, responsible AI principles. Most of them are ...
Ars Technica

Causality optional? Testing the “indefinite causal order” superposition

Over a decade ago, when I was first starting to pretend I could write about quantum mechanics, I covered a truly bizarre experiment. One half of a pair of entangled photons was sent through a device ...
GitHub

StatsPAI: an Agent&Python-native Stata/R replacement for applied causal inference

StatsPAI is for empirical researchers who would normally jump between Stata, R, and Python. Its goal is to make common Stata/R econometrics and causal-inference workflows feel native in Python: load a ...
Visual Studio Magazine

Aspire 13 Makes Python a First-Class Workload with .NET and JavaScript

Microsoft has added official Python support to Aspire 13, expanding the platform beyond .NET and JavaScript for building and running distributed apps. Documented today in a Microsoft DevBlogs post, ...
Motor Trend

Here’s Why Tesla’s New Model Y Is Much Better Than the Old One

The Tesla Model Y’s midcycle refresh brought significant enough changes to earn it a spot in our 2026 SUV of the Year competition. The full list of updates is extensive, but the highlights matter.
IEEE

A python library for data-driven causal fuzzy classification rule generation -- mablars

Abstract: A principal focus in fuzzy systems research is on maintaining good performance while providing strong explainability, principally by leveraging meaningful sets of human-accessible rules. In ...
InfoWorld

Python-powered AI agents are here

Python has been the language of data science since before machine learning was trendy, and now you can use it for building AI agents, too. Get the scoop on the new Google Agent Development Kit and ...
Morningstar

The Rapid Growth of Model Portfolios and What Comes Next

Third-party model portfolios had $646 billion in assets under advisement as of March 31, 2025—an increase of 62% since Morningstar last surveyed for assets in June 2023, less than two years ago.