HOME Bargains is the latest store to jump on the K-Beauty wagon, with a ‘glass skin’ range priced from just £1.99. The ...

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

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

NIST’s post-quantum public key encryption algorithm ML-KEM (a.k.a. CRYSTALS-Kyber) reduces to the hardness of solving mathematical problems in lattices. Similarly the security of two of NIST’s ...

Abstract: The k-means algorithm is a widely used Machine learning algorithm for clustering. This paper introduces a parallel k-means algorithm implementation for image classification. We implemented ...

Rocky high steep slopes are among the most dangerous disaster-causing geological bodies in large-scale engineering projects, like water conservancy and hydropower projects, railway tunnels, and metal ...

The K-shaped economy is the latest take on the conflicting signals issued by stalled hiring, sluggish but recovering consumption and roaring financial markets. It acknowledges the gap separating ...

Accurately identifying fracture zones and their types in strata is of great significance for enhancing oil and gas recovery efficiency. Due to its complicated geological structure and long-term ...

Amsterdam’s struggles with its welfare fraud algorithm show us the stakes of deploying AI in situations that directly affect human lives. What Amsterdam’s welfare fraud algorithm taught me about fair ...

Clustering is an unsupervised machine learning technique used to organize unlabeled data into groups based on similarity. This paper applies the K-means and Fuzzy C-means clustering algorithms to a ...