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

MicroCloud Hologram’s approach uses a logarithmic encoding method to reduce the number of qubits needed, representing an N-dimensional feature space using just log (N) qubits. The system forms an ...

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 ...

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

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 ...

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

Abstract: The exponential growth in Internet-connected devices has escalated the demand for optimized network topologies to ensure high performance. Traditional optimization methods often fall short ...

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

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

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

Network planning has always been a bit reactive. Engineers analyze historical traffic data, build capacity models, and make infrastructure decisions based on what’s happened before. When congestion ...