A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric traits and estimation of yields in both laboratory and field settings without ...

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 ...

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

For the past century, the broad framework for life progression — learning, career, retirement — has been largely unchanged. Innovation did occur within each stage, yet it did so largely within the ...

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...

(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 ...

What if you could learn in hours what might take others days, or even weeks? Imagine mastering a new skill, understanding a complex concept, or preparing for a major project, all with the help of ...

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...