EVOLVE, an agentic framework that autonomously optimizes AI training data, model architectures, and learning algorithms — ...

Memento-Skills lets AI agents rewrite their own skills using reinforcement learning, hitting 80% task success vs. 50% for standard RAG retrieval.

Based Multimo ...

Effective task allocation has become a critical challenge for multi-robot systems operating in dynamic environments like search and rescue. Traditional methods, often based on static data and ...

(a) An illustrative map for Crack-Net, including the initial features, looping solver for data generation, model training, and prediction performance. (b) The Crack-Net architecture, which utilizes ...

Deep learning improves brain tumour detection accuracy and reduces false positives in MRI, supporting faster and more ...

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 ...

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 ...

Researchers from Carnegie Mellon University and partner institutions have introduced a complementarity framework for human–AI teamwork, focusing on distributing reasoning, memory, and attention ...

Physical learning environments (PLEs)—including classrooms, schools, and networks of facilities—play a critical role in shaping educational outcomes. Investments in school infrastructure can be ...