Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...
A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...
Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
Our eLibrary offers over 25,000 IMF publications in multiple formats. This study applies state-of-the-art machine learning (ML) techniques to forecast IMF-supported programs, analyzes the ML ...
Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
Experiential learning is a pedagogical approach that places students as active participants in the learning process and provides intentional opportunities to reflect on and make meaning of the ...
Modern large language models (LLMs) might write beautiful sonnets and elegant code, but they lack even a rudimentary ability to learn from experience. Researchers at Massachusetts Institute of ...
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