Machine learning allows researchers to learn from data and account for the complexity, noise and variability of individuals. By using large bio-signal datasets, machine-learning algorithms are ...

Data science platform Kaggle is hosting a Wikipedia dataset that’s specifically optimized for machine learning applications. Data science platform Kaggle is hosting a Wikipedia dataset that ...

Just two-and-a-half years after guiding South Florence to its first state title, LaNorris Sellers is bringing the football program added resources. At a ceremony on Thursday night, the man who ...

The $13 trillion global construction industry has long struggled with inefficiencies, delays, and corruption. Traditionally, these have been hard to avoid. The industry is highly fragmented and ...

Forbes contributors publish independent expert analyses and insights. Christer Holloman writes about the future of finance and technology.

The goal is to develop a system capable of classifying news articles as real or fake using natural language processing (NLP) techniques and machine learning algorithms. Preprocessing of textual data ...

Abstract: Lane detection algorithm (LDA) is a crucial and necessary component for autonomous vehicles to ensure safe driving in various environments. Deep learning-based lane ... analyze various ...

Face Detection using OpenCV involves automatically locating human faces within images or video frames. Using pre-trained models like Haar Cascades or deep learning-based detectors (such as DNN models) ...