Abstract: This article presents the study of linear fractional programming (LFP) problems under intuitionistic fuzzy setting. The objective of this paper is to solve ...

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...

This video teaches a step-by-step method to solve any circuit problem with confidence and accuracy. Learn how to analyze circuits systematically, apply fundamental laws correctly, and avoid common ...

Microsoft-backed (NASDAQ:MSFT) OpenAI's artificial intelligence models scored high enough to earn a first-place human ranking at the 2025 International Collegiate Programming Contest World Finals in ...

OpenAI on Thursday unveiled its highly anticipated GPT-5, a powerful multi-modal AI model featuring major advancements in problem-solving and coding. The new flagship model was announced during a ...

AI isn’t just writing poems or suggesting meal plans anymore — it’s bringing new possibilities for science and what we know about the world. Scientists can now decode electrons, create new materials ...

For the C implementation on GPUs (recommended for benchmarking), please visit the following repository: $$ \begin{array}{ll} \underset{x \in \mathbb{R}^n}{\min} \quad ...

The objective of the 3D-SCALO problem is to assign the given components to optimal mounting surfaces and position them at the best locations, while satisfying the requirements for (1) heat dissipation ...

Standard computer implementations of Dantzig's simplex method for linear programming are based upon forming the inverse of the basic matrix and updating the inverse ...

In the realm of competitive programming, both human participants and artificial intelligence systems encounter a set of unique challenges. Many existing code generation models struggle to consistently ...