AI boosts bird sound identification accuracy

In a study conducted at the University of Helsinki, AI was trained to classify bird sounds with increasing accuracy. The ...

WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi ...

WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning BEIJING, Jan. 05, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the ...

WORK Medical Grants East China Exclusive Distribution Rights for AI-Automated Blood Cell ...

WORK Medical Technology Group LTD (Nasdaq: WOK) (“WORK Medical”, the “Company” or “we”), a supplier of medical devices in ...
Frontiers

Listening to stars: audio-inspired multimodal learning for star classification

Spectroscopic analysis is essential in modern astronomy, as spectra encode a wealth of physical information through their characteristic features, such as absorption and emission lines. These spectral ...
IEEE

Deep Learning Based Audio Classification Using Multi Feature Fusion Techniques

Abstract: This research explores the classification of environmental sounds using the UrbanSound8K dataset, introducing a novel feature fusion technique that combines spectrograms, scalograms, and Mel ...
The New York Times

This Kind of Sleep Is Essential for a Healthy Brain

Two particular phases in your nightly routine seem to play outsize roles in cognitive health. By Mohana Ravindranath A good night’s sleep isn’t just about the number of hours you log. Getting quality ...
Frontiers

Deep learning and explainable AI for classification of potato leaf diseases

The accurate classification of potato leaf diseases plays a pivotal role in ensuring the health and productivity of crops. This study presents a unified approach for addressing this challenge by ...
IEEE

Audio-Based Symptom Classification Using Deep Learning: The V-Cold Approach

Abstract: Advanced deep learning methods were created to classify health symptoms from audio recordings and overcome drawbacks of conventional diagnostic methods, which frequently necessitated ...