Abstract: This article addresses high-precision trajectory tracking for fully actuated hexarotor unmanned aerial vehicles (UAVs) subject to model uncertainty and external disturbances. To exploit the ...

Future schools may well foster human growth and resilience, with teachers as engagement coaches who guide self-aware, adaptable learners.

More engineers are turning to reinforcement learning to incorporate adaptive and self-tuning control into industrial systems. It aims to strike a balance between traditional ...

In a move that signals serious ambition in India's growing AI education race, Atomesus has unveiled Tutor8B (Beta), a purpose-built learning intelligence system designed not just to generate answers, ...

The dissonance is striking: 68% of leaders and employees surveyed in Slalom’s 2026 AI Research Report say they can keep pace ...

Legacy systems and “one-size-fits-all” learning models are shifting alongside military leadership culture. As more digital ...

For decades, formative assessment has been a silent engine for learning—powering insights about student progress and worker ...

Abstract: This paper investigates an adaptive iterative learning control (AILC) method for multiagent systems (MASs) performing multiple tasks. Different from traditional results for the single task, ...

Many nonprofits in low- and middle-income countries face a critical mismatch: urgent social problems demand rapid program iteration, yet organizations often wait years for externally-produced ...

Adaptive learning platforms are increasingly used to enhance online education, yet a gap exists in understanding how the design of their AI-powered features impacts user experience. This study ...