Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
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.
A new computational model of the brain based closely on its biology and physiology not only learned a simple visual category learning task exactly as well as lab animals, but even enabled the ...
Agentic AI challenges the foundational tenets of our legal frameworks, which have historically relied on clear lines of ...
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 ...
ABSTRACT: Ordinal outcome neural networks represent an innovative and robust methodology for analyzing high-dimensional health data characterized by ordinal outcomes. This study offers a comparative ...
Constructivist learning theory emphasizes the subjectivity, sociality, and contextuality of learning, promoting learning through the creation of problem situations and guiding learners to collaborate ...
Abstract: Multi-Energy Systems (MES) allow optimal interactions between different energy sources. Accurate load forecasting for such intricate systems would greatly enhance the performance and ...
This study focuses on the application of Task-based Language Teaching (TBLT) in Integrated English classroom instruction. As a “learning by doing” language teaching method that emerged in the 1980s, ...
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