Tech Xplore

Ferroelectric memory enables one chip to sample randomness and compute for generative AI

For the first time, a research team has demonstrated an artificial intelligence semiconductor technology that integrates the ...

Enterprise-grade AI image generation in 2 seconds is here: Krea 2 Raw and Turbo available as open weights under custom license

Because Krea relinquishes centralized control over the downstream deployment of its open weights, the contract legally binds ...
IEEE

Improving Performance of Autoencoder-Based Network Anomaly Detection on NSL-KDD Dataset

Abstract: Network anomaly detection plays a crucial role as it provides an effective mechanism to block or stop cyberattacks. With the recent advancement of Artificial Intelligence (AI), there has ...
ZME Science on MSN

Is water a mix of two liquids? AI finds evidence in 74 million molecular snapshots

A glass of water may look perfectly uniform, but at the molecular level, it could be carrying two different forms that are ...
IEEE

Gearbox Fault Diagnosis Using a Deep Learning Model With Limited Data Sample

Abstract: Massive volumes of data are needed for deep learning (DL) models to provide accurate diagnosis results. Numerous studies of fault diagnosis systems have demonstrated the effectiveness of DL ...
GitHub

VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech

In our recent paper, we propose VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech. Several recent end-to-end text-to-speech (TTS) models enabling single ...
GitHub

HyperGuard AI — Hybrid Intelligent Malware Detection Framework

Research-grade hybrid malware detection system combining Random Forest, XGBoost, and a Deep Neural Network in a weighted ensemble, with an Autoencoder for zero-day anomaly detection — featuring SHAP ...