Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient ...

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

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 ...

From smarter safety systems and software defined vehicles to AI agents that negotiate on your behalf, the technology is no ...

In art, brush marks can be seen as a flaw or the signature of a noted painter. Similarly, what appears to be operational ...

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: This paper investigates the optimization of the FedDyn algorithm in Federated Learning (FL). Federated Learning is a distributed machine learning framework that enables model training on ...