Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...

A hybrid model combining LM, GA, and BP neural networks improves TCM's diagnostic accuracy for IPF, achieving 81.22% ...

We might be witnessing the start of a new computing era where AI, cloud and quantum begin to converge in ways that redefine ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

TensorFlow is an open-source machine learning framework built by Google, and this 100-second video explains how it works from ...