Google has opened applications for its 2026 Student Researcher Program, an initiative designed to foster academic ...

FSNet is a new problem-solving tool that can find the optimal solution to an extremely complex problem without violating any of the problem’s many constraints. Developed at MIT, FSNet could help power ...

Reliable fault diagnostics in gearboxes is of great importance to industries to improve production quality and reduce maintenance costs. In this paper, an improved evolving fuzzy (iEF) technique is ...

Abstract: The Difference of Convex (DC) optimization problem holds significant importance in both optimization theory and practical applications. In recent years, numerous algorithms have been ...

I’ve run a strategic innovation exercise with dozens of growth-stage teams, and the results are consistently eye-opening. The exercise is simple but uncomfortable. Teams temporarily abandon their ...

In the ever-evolving world of artificial intelligence, deep neural networks (DNNs) have revolutionized data processing, offering unparalleled accuracy across various ...

Abstract: Recent advancements in deep learning architectures have made it possible to solve a wide range of classification problems present in industrial applications. However, many CNN architectures ...

Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative ...