These advantages have set the stage for network tools powered by AI and ML to reach deeper into service provider networks and back-office systems as a predictive resource capable of correlating the ...

In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...

When electricity or fuel powers a machine, the machine gets hotter. Finding new ways to cool machines quickly and ...

AI data trainer roles have moved from obscure contractor gigs to a visible career path with clear pay bands and defined ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

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.

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Artificial Intelligence is growing fast, and professionals now need both data science knowledge and Generative AI skills. These programs teach solid technical basics along with fundamental GenAI tools ...

Smart home tech brands will often label everything as "AI," but not all of it will actually be. Conversational voice ...