Abstract: Recently, the field of 3D medical segmentation has been dominated by deep learning models employing Convolutional Neural Networks (CNNs) and Transformer-based architectures, each with its ...

Hyderabad: Artificial Intelligence (AI) is transforming the way sleep disorders are diagnosed, with researchers at the ...

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

Akhil Nagori, Evann Sun, and Lucas Shengwen Yen spent about five months creating a pair of 3D-printed smart glasses that can ...

ARDS is a life-threatening lung condition causing severe breathing failure. New research shows AI could personalize ...

While some AI courses focus purely on concepts, many beginner programs will touch on programming. Python is the go-to ...

Acute respiratory distress syndrome (ARDS) remains a major challenge in critical care, with mortality rates often exceeding 35–40%. Mechanical ...

Abstract: Several studies have analyzed traffic patterns using Vehicle Detector (VD) and Global Positioning System (GPS) data. VD records the speed of vehicles passing through detectors, GPS data ...

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...

Most languages use word position and sentence structure to extract meaning. For example, "The cat sat on the box," is not the same as "The box was on ...

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