Scientists have developed a floating PV digital twin system, trained on data from 155 physical experiments, using a two-tier artificial neural network (ANN) with a high-fidelity model and a ...

The acquisition comes less than a week after Nvidia inked a $20 billion deal to license the technology of Groq Inc., a ...

A new computational model of the brain based closely on its biology and physiology not only learned a simple visual category learning task exactly as well as lab animals, but even enabled the ...

Fourier ptychography (FP) is a new computational imaging technique with the advantage of being able to provide super-resolution imaging. FP has a very complex degradation process. Merging with Fourier ...

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

Abstract: The present work focuses on the comprehensive implementation of gas/mixture identification employing chemometric analysis followed by on-chip realization. The chemometric analysis has been ...

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

A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...

A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy ...

In The Matrix Reloaded, Morpheus, after his ship the Nebuchadnezzar is sunk, makes a biblical reference: I have dreamed a ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write ...

The current boom in AI technology has ridden on a wave known as ‘deep learning’, which is an approach to creating intelligent ...