Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...

Linux and Git creator Linus Torvalds’ latest project contains code that was “basically written by vibe coding,” but you ...

DiskANN is a suite of scalable, accurate, cost-effective approximate nearest neighbor (ANN) search algorithms for large-scale vector search. It uses a graph-based index (Vamana) to manage very large ...

Abstract: Optimizing the K value in the K-Nearest Neighbor (KNN) algorithm is a critical step in enhancing model performance, particularly for tasks related to classification and prediction. The Elbow ...

Abstract: In women around the world, breast cancer stands out as the most common kind of cancer, and its occurrence is rapidly increasing. Even though there has been progress made in the primary ...