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 ...
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 ...
Donga Science

Frontal lobe’s method for separating information inspires more adaptable AI

Researchers at KAIST have discovered that the unique way the frontal lobe processes information holds the key to creating 'artificial intelligence (AI) that is flexible and stable, like the human brai ...
AlphaGalileo

Uncovering brain’s secret to stable yet flexible learning – paving the way for human-like AI

Humans possess a remarkable balance between stability and flexibility, enabling them to quickly establish new plans and adjust goals even in the face ...

[Reading Science] KAIST Finds Clues to AI That Learns Like the Brain

Humans are able to make relatively stable judgments and swiftly adjust their strategies, even when goals suddenly change or situations become ...
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 ...