Artificial intelligence has moved from crunching physics data in the background to actively proposing new theories and ...
In modern financial markets, recognizing trends is essential for investors seeking profits. Stock databases, or Stock DB, ...
Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
There are lots of examples of facial recognition’s role in helping police to locate wanted and vulnerable people. But as ...
NEC’s facial recognition, marketed under names like NeoFace and NeoFace Reveal, represents some of the most advanced ...
Across the University of Pennsylvania Health System, scientists are now using AI to enhance their understanding of biological systems and modern medicine.
Forbes contributors publish independent expert analyses and insights. I write about relationships, personality, and everyday psychology. For decades, intelligence has been often reduced to a number — ...
ABSTRACT: In this study we are examining expert assessment (EA) non-linear scaled based approach to map original physical scale into a linguistical one. We introduce fuzzification of linguistic ...
Abstract: Emotion recognition in humans is a multidisciplinary field that involves analyzing several types of data. Computational techniques in pattern recognition and machine learning have been ...
ABSTRACT: Image segmentation is a fundamental process in digital image analysis, with applications in object recognition, medical imaging, and computer vision. Traditional segmentation techniques ...