note

From Prediction to 'Intervention': True AI Marketing That Doesn't Waste Budget, Realized Through Causal Inference (Uplift Modeling)

The ML strategy of 'distributing coupons to customers with a high probability of purchase' may actually be harming company profits. Many companies have introduced machine learning and are now able to ...
note

The effects of Kaizen can be predicted before implementation — Visualizing the "future difference" by integrating time-series forecasting and causal effects

This series, which began with 541,909 rows of purchase data, has finally reached its final installment. In the first installment, we viewed 4,338 customers as three "clusters" using RFM and K-Means.
startupfortune

Aether AI raises $20 million to bet the next AI ceiling is causality, not compute

Aether AI, founded by UCSD professor Biwei Huang, closed a $20 million seed round on June 18, 2026 to build causal world models that understand cause-and-effect relationships rather than statistical ...
GitHub

STream3R: Scalable Sequential 3D Reconstruction with Causal Transformer (ICLR 2026)

We present STream3R, a novel approach to 3D reconstruction that reformulates pointmap prediction as a decoder-only Transformer problem. Existing state-of-the-art methods for multi-view reconstruction ...
Analytics India Magazine

The Dark Horses of Tokenmaxxing Era Threaten an Inference Price War

Chinese AI models have priced their APIs 5–10x lower than those of Anthropic and OpenAI. But is that sustainable? Chinese AI models are significantly underpricing their APIs compared to US ...
GitHub

Statistical Inference 2nd Edition.pdf

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...