Memento-Skills lets AI agents rewrite their own skills using reinforcement learning, hitting 80% task success vs. 50% for ...
An understanding of community resilience and risk analysis is vital when it comes to protecting civilians and infrastructure ...
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 ...
In the context of the United Nations' 2030 Sustainable Development Agenda and growing global attention to educational equity, translating UNESCO's normative frameworks for lifelong learning into ...
Bloom’s Taxonomy has long been a tool educators could use to identify levels of cognitive demand in the classroom. Originally ...
Scientists develop spatiotemporal correlation-based deep learning framework for bias correction of atmospheric and oceanic variables ...
Mr. Jeremy Sameulson, EVP of AI and Innovation at IQT, publishes VEIL™ Privacy-Preserving Machine Learning Framework on arXiv: Introduces an architecture designed to enable use of sensitive data ...
A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously ...
Methane is the second most important anthropogenic greenhouse gas after carbon dioxide, with a global warming potential roughly 28–34 times greater over a 100-year timescale. Major sources include ...
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 ...