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Breaking the spurious link: How causal models fix offline reinforcement learning's generalization problem

Researchers from Nanjing University and Carnegie Mellon University have introduced an AI approach that improves how machines learn from past data—a process known as offline reinforcement learning.
Finextra

The Causal Cure: How Causal Models Solve Insurance Industry's Persistent Problems

Insurance is, at its core, a causal business. A policyholder does not file a claim because their profile resembles historical claimants. They file a claim because something caused them harm. A ...
Finextra

Why Financial Risk Models Must Go Causal

The financial industry has sophisticated risk models. It does not yet have causal ones. That distinction is about to matter enormously. In the decade following the 2008 financial crisis, the ...
VentureBeat

Alembic melted GPUs chasing causal A.I. — now it's running one of the fastest supercomputers in the world

Alembic Technologies has raised $145 million in Series B and growth funding at a valuation 15 times higher than its previous round, betting that the next competitive advantage in artificial ...
CMS Wire

Why Causal AI Is the New Marketer Must-Have for Deeper Insights

What’s the link between ice cream sales and crime rates? Let’s say an overzealous rookie reporter finds that ice cream sales and crime rates tend to increase and decrease together. This can suggest a ...
Business Wire

Causal Labs Raises $6M Seed Funding to Build AI for Weather Prediction and Control

SAN FRANCISCO--(BUSINESS WIRE)--Today, Causal Labs, the AI company pioneering physics-based models to address civilization-scale challenges, is announcing it has raised $6 million in seed funding, led ...
Princeton University

Sociology 505: Causal Inference in the Social Sciences

Although it is the goal of most statistical investigation, causal inference has traditionally been ignored by statistical theory. Fortunately, there is now intense activity in a number of fields, ...