Tech Xplore on MSN

AI model predicts robberies across US cities with 86.3% accuracy

Researchers have developed an artificial intelligence model that predicts crime more accurately than several existing ...

Inside The Evolution Of Wi-Fi: A Conversation With A Wireless Engineer Working On The 6 GHz Era

The article features Adesh Keremane discussing his journey in wireless engineering and his work on Wi-Fi systems and AFC for ...
Oneindia

Abhinav Piratla: AI Security Architect Revolutionizes Medical Device Protection & Healthcare Safety

Abhinav Piratla, an AI security architect, is closing the critical gap in medical device protection. Discover how his ...
IEEE

Enhancing Power Generation Forecasting in Smart Grids Using Hybrid Autoencoder Long Short-Term Memory Machine Learning Model

Abstract: This study explores the implementation of advanced machine learning techniques to enhance the integration of renewable energy into smart grids, focusing specifically on predicting solar ...
IEEE

One-Dimensional Residual Convolutional Autoencoder Based Feature Learning for Gearbox Fault Diagnosis

Abstract: Vibration signals are generally utilized for machinery fault diagnosis to perform timely maintenance and then reduce losses. Thus, the feature extraction on one-dimensional vibration signals ...
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 ...

Beckhoff's TwinCAT CoAgent Accelerates Automation Programming with Built-In AI Tools

TwinCAT CoAgent delivers powerful AI-assisted engineering and programming support across every stage of the automation ...
Frontiers

Early detection of brain pathologies through deep learning and advanced neuroimaging approaches

Recent advances in the field of medical imaging and computational neuroscience have transformed the landscape of brain pathology detection. The application ...
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 ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
GitHub

hiba255/cesnet-anomaly-detection

Traditional firewalls only block known threats. This system detects any anomalous behavior — including zero-day attacks — without requiring labeled data.