As we revised our grading system, we’ve come to learn that non-cognitive (behavioral) skills are more important than ever. AI is rapidly taking over many knowledge-based tasks, but it cannot replace ...

Abstract: Self-supervised contrastive learning methods offer a promising approach to the small-sample synthetic aperture radar (SAR) automatic target recognition (ATR) problem by autonomously ...

They also struggle with noisy pseudo labels that can impair model learning. This paper introduces self-supervised reflective learning (SSRL), an improved framework that addresses these limitations by ...

Instead, it’s about creating a space for reflection, learning, and collaboration. We want to provide you with stepping stones—resources, strategies, and ideas—that you can adapt to meet the ...

People with learning disabilities and their families in Scotland are struggling financially, according to a new report by the Fraser of Allander Institute and the Scottish Commission for People ...

Reinforcement Learning - An Introduction ... this book is honestly still intimidating to RL or ML beginners because of the intense concepts, abstract examples and algorithms, and its volume. Therefore ...

Intentional relationship builders. And reflective, purpose-driven practitioners. Collectively, the Four Dimensions support this holistic development, fostering learning environments in which students ...