The intersection of artificial intelligence, human learning, and behavior change has gained increasing importance in recent years. Traditional adaptive ...

Researchers have proposed a personalized longitudinal motion planning policy for intelligent vehicles that combines reinforcement learning with imitation learning. The approach is designed to reduce ...

Life moves in mysterious ways—and perhaps especially so for organisms that undergo dramatic shifts in levels of ...

In that future, the central challenge for humans may become something deeper. Recognition and self-actualization could arise ...

Meta's new hyperagent framework breaks the AI "maintenance wall," allowing systems to autonomously rewrite their own logic ...

Read more about AI use among youth raises concerns over cognitive decline and learning dependency on Devdiscourse ...

The technology sector is no longer asking what artificial intelligence can do for us. It is asking what AI can do for itself.

Hands are remarkable tools, translating thought into action by allowing us to grasp, feel and manipulate objects. They also ...

AI security cameras enhance smart home security using computer vision, behavioral anomaly detection, and facial recognition ...

In many production pipelines, RLHF (reinforcement learning from human feedback) is used as a structured governance mechanism that converts expert judgments into reward signals used to refine model ...

Cognitive warfare is less about controlling territory and more about shaping perception. The objective is to gain an information advantage that translates into a decision advantage, influencing how ...

Real incidents, when shared thoughtfully, create emotional resonance that deepens safety understanding and memory. Using calm ...