Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.
While studying salmon populations and designing amusement parks, these students are breaking barriers to advanced math that ...
If you spend any time wandering through Durango’s middle schools – and I do, often – you’ll notice something right away: Kids ...
Virtual Reality, Ideological and Political Education in Colleges and Universities, Red Culture, Teaching Optimization Zhang, Q. and Yu, Y. (2026) Research on the Optimization Strategy of Integrating ...
That joyfulness can extend even to the more mundane lessons, like learning new vocabulary, which historically has involved ...
Utilize AI to analyze application runtime data (e.g., rendering time, communication latency), obtain optimization suggestions (such as reducing component re-rendering, reusing hardware connections), ...
Abstract: Due to limited on-board resources and the mobility characteristics of vehicles in a multi-access edge computing (MEC)-based vehicular network, efficient task offloading and resource ...
In education, there’s sometimes a misperception that innovation must be linked to major changes in classroom instruction. I’ve witnessed schools restructuring their classes to be entirely ...
Jane S. Hirschi, founder of the educational nonprofit CitySprouts and parent of two former Cambridge Public Schools students, is running for School Committee to push for a more widespread adoption of ...
Abstract: Deep learning (DL) requires large amounts of labeled data, which is extremely time-consuming and labor-intensive to obtain for medical image segmentation ...
Department of Applied Mathematics and Computer Science, E. A. Buketov Karaganda University, Karaganda, Kazakhstan In accordance with the requirements of the IT sector, higher education is aimed at ...
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