Convolutional Neural Networks (CNNs)—the most widely used AI model for image recognition—process images using ... models to ...

Our novel approach is dedicated to refining image classification using customized CNN ... This repository demonstrates a simple and effective implementation of a Convolutional Neural Network (CNN) ...

Prof. Esti Yeger-Lotem, Dr. Michael Fire, Dr. Jubran Juman, and Dr. Dima Kagan developed the algorithm to analyze these PPI networks to detect "anomalous" proteins—those that stand out due to ...

How do neural networks work? It's a question that can confuse novices ... results across various settings to support the CRH and PAH on tasks that include image classification and self-supervised ...

On the other side of the spectrum, it feels like our feeds are filling up with cosmetic surgery content, no matter our algorithm. Image: iStock On the other side of the spectrum, it feels like our ...

The award-winning IEEE conference paper, "Modified AI-based Learning Approach to Secure Data using Deep Learning Algorithms ... (MLPs), convolutional neural networks (CNNs), and recurrent ...

Recently proposed SNN training algorithms have significantly reduced the number of time steps (down to 1) for improved latency and energy efficiency, however, they target only convolutional neural ...

Laboratory of Mathematics and Complex Systems (Ministry of Education of China), School of Mathematical Sciences, Beijing Normal University, Beijing, P. R. China ...