Hackers can use 9 of the most popular AI tools to assemble massive botnets

In the brief history of AI security, the prompt injection has quickly become the top threat. Large language models are ...
Macworld

macOS 27 in depth: How AI upgrades Freeform, Notes, Weather, and more

Macworld explores macOS 27’s AI-powered upgrades to built-in apps including Notes, Freeform, Weather, and Image Playground ...

Why this fully agentic ransomware attack is giving researchers nightmares

JadePuffer could be the first reported case of a ransomware attack driven by AI from start to finish. How can businesses ...
Visual Studio Magazine

Full-Stack with a Side of Copilot: Building and Deploying an App the AI-Accelerated Way

In this Q&A, developer and VSLive! speaker Esteban Garcia explains how GitHub Copilot can accelerate the full software development lifecycle -- from architecture and code to tests, CI/CD, and Azure ...
CNET

How This Google Labs AI App Became Part of My Daily Routine

Her work explores how new AI technology is infiltrating our lives, shaping the content we consume on social media and ...
GitHub

Statistical Machine Intelligence & Learning Engine

SMILE (Statistical Machine Intelligence & Learning Engine) is a comprehensive, high-performance machine learning framework for the JVM. SMILE v5+ requires Java 25; v4 ...
IEEE

A Noise-Filtered Under-Sampling Scheme for Imbalanced Classification

Abstract: Under-sampling is a popular data preprocessing method in dealing with class imbalance problems, with the purposes of balancing datasets to achieve a high classification rate and avoiding the ...
Europe PMC

The Use of Selected Machine Learning Methods in Dairy Cattle Farming: A Review.

The aim of this review was to present selected machine learning (ML) algorithms used in dairy cattle farming in recent years (2020-2024). A description of ML methods (linear and logistic regression, ...
Scientific Research Publishing

Stock Type Prediction Based on Multiple Machine Learning Methods ()

Stocks in the Chinese stock market can be divided into ST stocks and normal stocks, so to prevent investors from buying potential ST stocks, this paper first performs SMOTEENN oversampling data ...
Europe PMC

General Model for Predicting Response of Gas-Sensitive Materials to Target Gas Based on Machine Learning.

Gas sensors play a crucial role in various industries and applications. In recent years, there has been an increasing demand for gas sensors in society. However, the current method for screening ...