GitHub

Hnswlib - fast approximate nearest neighbor search

Header-only C++ HNSW implementation with python bindings, insertions and updates. init_index(max_elements, M = 16, ef_construction = 200, random_seed = 100, allow_replace_deleted = False) initializes ...
Hacker

Build a Vector Search Engine in Python with FAISS and Sentence Transformers

A seasoned software engineer with over 15 years of experience developing scalable web & enterprise applications If you’ve used ChatGPT, Perplexity, or any modern AI-powered search engine recently, you ...
IEEE

Implementation of ML Algorithm for Spyware Detection System Using SVM with KNN Algorithm for Comparison of Accuracy

Abstract: The research examines the Support Vector Machines (SVM) and K-Nearest Neighbor (KNN) machine learning algorithms with the goal of using machine learning to detect malware and mitigate ...
Psychology Today

Brain-Computer Interfaces Boosted by Novel AI Algorithm

The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...
IEEE

Improving KNN Algorithm Efficiency Based on PCA and KD-tree

Abstract: K-nearest neighbor (KNN) algorithm is a simple and widely used classification method in machine learning. This algorithm tries to search every object in the dataset to find the nearest ...
Frontiers

Causative Classification of Ischemic Stroke by the Machine Learning Algorithm Random Forests

Prognosis, recurrence rate, and secondary prevention strategies differ by different etiologies in acute ischemic stroke. However, identifying its cause is challenging. We retrospectively reviewed the ...