AI develops easily understandable solutions for unusual experiments in quantum physics

Researchers at the University of Tuebingen, working with an international team, have developed an artificial intelligence that designs entirely new, sometimes unusual, experiments in quantum physics ...
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
IEEE

Combining KNN Algorithm with Traditional DGA Techniques for Transformer Defect Identification and Analysis

Abstract: This paper explores the application of KNN for identifying and analyzing dissolved gases in power transformer (PT) oil. We want to make a strong diagnostic model that can correctly classify ...
IEEE

Research on Defense Algorithm of Label Flipping Poisoning Attack Based on Dynamic Threshold Weighted KNN

Abstract: As a typical data poisoning attack, label flipping poisoning attack destroys the performance of the model by tampering with the training data labels, which poses a serious threat to the ...
Microsoft

Infostealers without borders: macOS, Python stealers, and platform abuse

Infostealer threats are rapidly expanding beyond traditional Windows-focused campaigns, increasingly targeting macOS environments, leveraging cross-platform languages such as Python, and abusing ...