Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...

From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...

A groundbreaking study published in Soil Ecology Letters unveils a novel deep learning method to rapidly and accurately identify soil-dwelling ...

The BCTVNet neural network provides accurate and rapid target volume delineation for cervical cancer brachytherapy ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, innovatively launches a quantum-enhanced deep convolutional neural network image 3D reconstruction ...

Master’s thesis position (M.Sc. student) in Deep Learning for Healthcare.

Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Dementia, including Alzheimer’s (AD) and frontotemporal dementia (FTD), often causes overlapping symptoms, making diagnosis ...

Artificial intelligence is moving from the lab into the clinic, and one of its most provocative promises is that it might spot Alzheimer’s disease by looking into the back of the eye. Instead of ...

Abstract: The electrocardiogram (ECG) is an important tool in diagnosing heart diseases. In this study, we introduce ECGNet a customized deep learning model that utilizes advanced activation functions ...

Organizations that track the material are reporting a surge in A.I. images and videos, which are threatening to overwhelm law enforcement. By Cecilia Kang Cecilia Kang has covered child online safety ...