A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...
Anti-forgetting representation learning method reduces the weight aggregation interference on model memory and augments the ...
Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
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 ...
Researchers from the University of Chinese Academy of Sciences and collaborating institutions have developed a novel ...
Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...
This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
In a surprising turn of events, another Big Tech company released its first take on everything AI, with Apple's MLX now available as open source, centering on its new framework and model. There were ...
Jaewon Hur (Seoul National University), Juheon Yi (Nokia Bell Labs, Cambridge, UK), Cheolwoo Myung (Seoul National University), Sangyun Kim (Seoul National University), Youngki Lee (Seoul National ...
AZoCleantech on MSN
New framework for predicting TAIs in hydrogen combustion
Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving ...
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