Running an optical character recognition (OCR) server might sound like it would need some powerful hardware, like a rack-mounted, water-cooled machine, or at least a nice desktop or laptop. But if you ...

One of the central challenges in modern machine learning is understanding how neural networks generalize knowledge learned from training data to unseen test data. While numerous empirical techniques ...

Football, as one of the most popular sports globally, its unpredictability of match outcomes has long been a topic of significant interest. Accurate prediction of football match outcomes can enhance ...

The image presents a compelling two-dimensional framework for understanding artificial intelligence capabilities, organized along axes of Generality (specialized to general tasks) and Strength (simple ...

In communities of living organisms, dynamic behavior is often driven by social interactions. Hydrodynamics simplifies the description of systems composed of many interacting constituents. While ...

1 Information System Department, Faculty of Commerce and Business Administration Helwan University, Cairo, Egypt. 2 Computer Science Department, Faculty of Computer and Artificial Intelligence, Helwan ...

Picture a tentacled, many-eyed beast, with a long tongue and gnarly fangs. Atop this writhing abomination sits a single, yellow smiley face. “Trust me,” its placid mug seems to say. That’s an image ...

The emergence of chaotic behavior through coupled learning dynamics is a problem of fundamental importance that lies at the intersection of diverse fields such as social sciences, complexity science, ...

Machine learning and deep learning have been widely embraced, and even more widely misunderstood. In this article, I’ll step back and explain both machine learning and deep learning in basic terms, ...

With the emergence and development of the Back Propagation neural network (BPNN), its unique learning, generalization, and non-linear characteristics have been gradually excavated and fully applied in ...

Objectives We used machine learning algorithms to track how the ranks of importance and the survival outcome of four socioeconomic determinants (place of residence, mother’s level of education, wealth ...