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Architecting AI data systems and the emergence of operating intelligence at scale

Enterprise data systems now sit beside ranking, inference and decision pipelines that influence what users see, interact with ...
Yahoo Finance

Curinos Secures U.S. Patent for Adaptive AI That Unites Generative and Reinforcement Learning -- Advancing Decision Intelligence for Financial Institutions

NEW YORK, Nov. 19, 2025 /PRNewswire/ -- Curinos, a leader in AI-first Decision Intelligence for financial institutions, today announced the issuance of U.S. Patent No. 12,457,247, covering a ...
Hosted on MSN

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.
Time

Reinforcement Learning

This article is published by AllBusiness.com, a partner of TIME. What is "Reinforcement Learning"? Reinforcement Learning (RL) is a type of machine learning where a model learns to make decisions by ...
inc42

Reinforcement Learning: The Algorithms Changing How Computers Make Decisions

The last decade of tech was to a large part defined by the advent of Deep Supervised Learning (DL). The availability of cheap data at scale, computational power, and researcher interest have made it ...
Geeky Gadgets

Watch AI learn to walk using Deep Reinforcement Learning (DRL)

Deep Reinforcement Learning (DRL) is a subfield of machine learning that combines neural networks with reinforcement learning techniques to make decisions in complex environments. It has been applied ...