A study reveals machine learning algorithms can predict compressive strength in concrete with waste glass powder, enhancing ...

Artificial intelligence (AI) has become part of the daily lexicon, and an endless stream of media reports assert that AI either has affected or will affect most aspects of human life. What is AI and ...

Learn how the Adadelta optimization algorithm really works by coding it from the ground up in Python. Perfect for ML enthusiasts who want to go beyond the black box!

Understand how the Adagrad optimizer works and build it from scratch in Python—step-by-step and beginner-friendly.

The artificial intelligence (AI) market is expanding. Statista has calculated that the number of AI tool users will increase ...

Endogenous intracellular allosteric modulators of GPCRs remain largely unexplored, with limited binding and phenotype data available. This gap arises from the lack of robust computational methods for ...

Impact Statement: Traditional K-Nearest Neighbor (kNN) algorithms rely on real-number-based distance metrics, which can struggle to capture complex, nonlinear relationships between features in ...

Secondly, combining with metric learning to enhance the generalization capacity of the model. Finally, KNN algorithm is designed to realize device classification and detection. The proposed IntML-KNN ...

The goal was to restore incomplete graph data using topological and attribute information. We integrated our C++ core with Python via pybind11 to enable flexible experimentation and evaluation. ├── ...