QoreChain Launches Quantum-Safe, AI-Native Layer 1 Mainnet on June 7 as Community Presale Opens

QOR has a fixed total supply of 4,500,000,000 tokens, with a launch market capitalization of $27 million and a fully diluted ...
Tech Xplore

Two animal-inspired algorithms just changed how software-defined networks catch attacks before disruptions spread

Researchers have developed a new artificial intelligence-based system designed to improve cyberattack detection in ...
PsyPost on MSN

Scientists demonstrate that AI can predict if you are reading a taboo word just by looking at your brain waves

A recent study published in the journal Psychophysiology provides evidence that the human brain processes taboo words in a ...
Tech Xplore

LLMs help robots understand vague instructions and focus on key details

Imagine working at a warehouse or office sometime in the near future, and you're asked to help a new trainee learn the basics ...
Memeburn

What Is Machine Learning? How It Works, Types & Real-World Uses (2026)

Learn what machine learning is, how it works, its types, the algorithms it uses, and its real-world uses in this complete ...
Devdiscourse

AI, zero trust and threat hunting shape next phase of global cybersecurity defense

Read more about AI, zero trust and threat hunting shape next phase of global cybersecurity defense on Devdiscourse ...

Smarter soils: machine learning reveals lead hotspots beneath our feet

FAYETTEVILLE, GA, UNITED STATES, May 26, 2026 /EINPresswire.com/ -- Lead (Pb) contamination in agricultural soils is an ...
IEEE

A Relative Analysis of Enhanced Machine Learning Algorithm SVM & Decision Tree to Predict Smart Grid Stability

Abstract: The demand for electricity has been rapidly increasing nowadays. So, it is necessary to distribute power to consumers efficiently. Smart grids (SG) can reduce the losses in the distribution ...
GitHub

svm-model

An automated MATLAB application for brain tumor detection and segmentation from MRI images. This project uses image processing and a Support Vector Machine (SVM) classifier to identify and highlight ...
IEEE

Support Vector Machine-Integrated High-Definition MCPWM Technique for Improving Power Quality in Multilevel Inverters

Abstract: What if machine learning could predict inverter harmonics before prototyping? Conventional pulse width modulation (PWM) techniques in cascaded H-bridge (CHB) multilevel inverters (MLIs) ...