Bleeping Computer

Google exposes BadAudio malware used in APT24 espionage campaigns

China-linked APT24 hackers have been using a previously undocumented malware called BadAudio in a three-year espionage campaign that recently switched to more sophisticated attack methods. Since 2022, ...
GitHub

Floating-point discrepancies in Vector/VMatrix methods between 32-bit and 64-bit builds

Various mathematical userdata methods exhibit discrepancies related to floating point imprecision. The expected behavior is that these functions return the same values regardless of the build. The ...
istockphoto

Graphical User Interface stock illustrations

Vector information callout elements, technology board cyber sports infograph boxes, futurist spaceship data frames, layout digital bars, tech modern graphical ui shapes graphical user interface stock ...
IEEE

A Novel Graphical Method for Interpretating Dissolved Gases and Fault Diagnosis in Power Transformer Based on Dynamique Axes in Circular Form

Abstract: Dissolved Gas Analysis (DGA) in oil is one of the most common and reliable techniques for diagnosing and early detection of incipient faults in oil-immersed transformers. However, ...
GitHub

Solving Ordinary Differential Equations Numerical Method Implementation in Python

Euler Method: The simplest numerical method for solving ODEs, which uses the derivative to project forward. [ y_{n+1} = y_n + h \cdot f(x_n, y_n) ] Heun's Method (Improved Euler Method): A two-step ...
IEEE

Customized Design of Frequency-Selective Surfaces Using the Vector-Graph-Feature-Extraction Deep-Neural-Network (VGFE-DNN) Method

Abstract: In this communication, we propose the vector-graph-feature-extraction (VGFE) approach to accurately and concisely characterize details of electromagnetic metasurface (EM), and then train a ...
marktechpost

MixedBread AI Introduces Binary MRL: A Novel Embeddings Compression Method, Making Vector Search Scalable and Enable Embeddings-based Applications

Mixedbread.ai recently introduced Binary MRL, a 64-byte embedding to address the challenge of scaling embeddings in natural language processing (NLP) applications due to their memory-intensive nature.
marktechpost

Qualcomm AI Research Proposes the GPTVQ Method: A Fast Machine Learning Method for Post-Training Quantization of Large Networks Using Vector Quantization (VQ)

Efficiency of Large Language Models (LLMs) is a focal point for researchers in AI. A groundbreaking study by Qualcomm AI Research introduces a method known as GPTVQ, which leverages vector ...