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.

Utilize AI to analyze application runtime data (e.g., rendering time, communication latency), obtain optimization suggestions (such as reducing component re-rendering, reusing hardware connections), ...

Valued education explores fairness, respect, and responsibility through discussion and purposeful classroom action.

Kindergarten students recently put their thinking skills to work while learning how to compare and contrast in a fun and ...

In recent years, scientists have studied whether being bilingual may help ward off the memory lapses and reduced mental sharpness that come with an aging brain. Much of the research on the pot ...

To fully utilize the popular science value of the aforementioned high-end resources, the school has explored a construction mode for the popular science base that integrates “Resource Sharing, ...

Abstract: Various types of sensors can be used for human activity recognition (HAR), and each of them has different strengths and weaknesses. Sometimes, a single sensor cannot fully observe the user’s ...

Abstract: This paper presents a structured learning unit designed to enhance student engagement in the electrical engineering course. The unit employs the problem-based learning (PBL) methodology ...