New model frames human reinforcement learning in the context of memory and habits

Humans and most other animals are known to be strongly driven by expected rewards or adverse consequences. The process of ...
Devdiscourse

Financial institutions turn to adaptive AI to close fraud detection gaps

Fraud detection is defined by a structural imbalance that has long challenged data-driven systems. Fraudulent transactions typically account for a fraction of a percent of total transaction volume, ...
Forbes

The Rise And Rise Of Reinforcement Learning: AI’s Quiet Revolution

Forbes contributors publish independent expert analyses and insights. Author, Researcher and Speaker on Technology and Business Innovation. Apr 19, 2025, 03:24am EDT Apr 21, 2025, 10:40am EDT ...
Nature

Reinforcement learning improves behaviour from evaluative feedback

Reinforcement-learning algorithms 1,2 are inspired by our understanding of decision making in humans and other animals in which learning is supervised through the use of reward signals in response to ...
Science News

A look under the hood of DeepSeek’s AI models doesn’t provide all the answers

A peer-reviewed paper about Chinese startup DeepSeek's models explains their training approach but not how they work through ...

Apple builds single AI model that can see, create and edit images

Apple researchers presented UniGen 1.5, a system that can handle image understanding, generation, and editing within a single ...