Security researchers from Palo Alto Networks have discovered vulnerabilities used in some top Artificial Intelligence (AI) ...

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 ...

So, you’re looking to get better at coding with Python, and maybe you’ve heard about LeetCode. It’s a pretty popular place to practice coding problems, especially if you’re aiming for tech jobs.

Community driven content discussing all aspects of software development from DevOps to design patterns. To do that, you need practice, and that’s what this collection of GH-300 GitHub Copilot practice ...

Recently, many machine learning techniques have been presented to detect brain lesions or determine brain lesion types using microwave data. However, there are limited studies analyzing the location ...

Summer short courses are designed to enhance the elective offerings available to IAD students, and for students in related programs at UB. These ‘bite-size’ courses are designed to: Equip students ...

Abstract: The K-nearest neighbors (kNNs) algorithm, a cornerstone of supervised learning, relies on similarity measures constrained by real-number-based distance metrics. A critical limitation of ...

LEAP is a general purpose Evolutionary Computation package that combines readable and easy-to-use syntax for search and optimization algorithms with powerful distribution and visualization features.

ABSTRACT: The use of machine learning algorithms to identify characteristics in Distributed Denial of Service (DDoS) attacks has emerged as a powerful approach in cybersecurity. DDoS attacks, which ...