Optical illusions are more than just fun; they're brain exercises that boost cognitive skills like memory and pattern ...

Discover the multiple sclerosis (MS) patterns that standard brain scans frequently overlook and why these missed indicators ...

Brain-inspired spiking neural networks bring real-time AI to edge devices, boosting performance, reducing power use, and ...

Listen to the first notes of an old, beloved song. Can you name that tune? If you can, congratulations—it's a triumph of your ...

The union of blockchain's decentralized integrity and the adaptive intelligence of neural networks is a powerful place in ...

In more unconventional domains like chaos-based secure optical communication and photonic reservoir computing, ML enables the ...

Pattern recognition is a cornerstone of Artificial Intelligence ... It gradually progresses from foundational AI tasks to advanced neural network applications, using platforms such as Python, OpenCV, ...

Despite the widespread success of neural networks, their susceptibility to adversarial examples remains a significant challenge. Adversarial training (AT) has emerged as an effective approach to ...

FP has a very complex degradation process. Merging with Fourier transforms and pupil aperture scanning causes difficulty in reconstructing high-resolution images by the commonly used deep neural ...

Aitao Chen. Comparative Study of Pattern Recognition, Neural Networks, and Statistical Regression Approaches to Information Retrieval. PhD Dissertation. Advisor: William S. Cooper. University of ...