A new learning paradigm developed by University College London (UCL) and Huawei Noah’s Ark Lab enables large language model (LLM) agents to dynamically adapt to their environment without fine-tuning ...

A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...

Designing effective instruction starts with clarity about what you want students to learn and choosing the right methods to help them get there. The Seven Ways of Learning framework provides a ...

The new reinforcement learning system lets large language models challenge and improve themselves using real-world data instead of curated training sets. Meta researchers have unveiled a new ...

Wlodkowski and Ginsberg (2018) provide a framework for enhancing learner motivation through Culturally Responsive Teaching (CRT). This approach centers on creating four key conditions that support ...

Physical learning environments (PLEs)—including classrooms, schools, and networks of facilities—play a critical role in shaping educational outcomes. The World Bank’s RIGHT+ framework offers guidance ...

Rather than positioning education as a supplementary feature, DURALUMEN Trading Center integrates learning resources as a ...