Tech Xplore on MSN

Reinforcement learning accelerates model-free training of optical AI systems

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

True agentic AI is years away - here's why and how we get there

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.
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 ...
Devdiscourse

Sophisticated AI promising but less reliable for monetary policy decisions

The study, titled Reinforcement Learning for Monetary Policy Under Macroeconomic Uncertainty: Analyzing Tabular and Function ...

Brain-inspired AI: Human brain separates goals and uncertainty to enable adaptive decision-making

Humans possess a remarkable balance between stability and flexibility, enabling them to quickly establish new plans and ...
Forbes

Artificial Intelligence: What's The Difference Between Deep Learning And Reinforcement Learning?

The various cutting-edge technologies that are under the umbrella of artificial intelligence are getting a lot of attention lately. As the amount of data we generate continues to grow to mind-boggling ...
Geeky Gadgets

OpenAI Introduces Reinforcement Fine-Tuning (RFT) for Easy AI Customization

Have you ever wished AI could truly understand the complexities of your field—not just replicate data but reason through intricate, domain-specific challenges? Whether you’re a researcher analyzing ...
JSTOR Daily

Fog Computing Resource Management for Video Processing Using Evolutionary Bayesian Optimization and Nondeterministic Deep Reinforcement Learning

Although fog computing reduces cloud computing latency for time-sensitive applications, suboptimal fog infrastructure and task allocation approaches are unlikely to meet stringent low-latency ...