ML-powered retail media solutions optimize product visibility, enhance shopping experiences and create wins for sellers, ...

Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

David Ussery discusses using Machine Learning methods to predict the pathogenicity of a bacterial infection based on genome ...

Previous methods struggle to incorporate real-time data or account for nonlinear interactions among macroeconomic variables.

Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior ...

Researchers developed a two-stage ML model to predict coating degradation by linking environmental factors to physical ...

While beneficial uses of AI continue to increase, its biggest downfall is the pollution it produces. However, this tech may ...

machine-learning algorithms classification perceptron binary-classification k-nearest-neighbours one-vs-rest multiclass. Updated Jun 5, 2025; Python; jaylontan / NeuralNetwork. Star 0. Code ... Built ...

This method achieves an 84.10% classification accuracy, surpassing traditional supervised learning by 10% and outperforming supervised contrastive learning by more than 40%, demonstrating the positive ...