Some chipmakers aim to outgun the competition with sheer performance. Flagship GPUs, for example, focus on FLOPS and huge ...

Abstract: This paper presents a MATLAB code for Adaptive Fuzzy Campus Placement based Optimization Algorithm (AFCPOA), a novel approach designed to address the solutions to single and multi-objective ...

Discover how Group Relative Policy Optimization (GRPO) works with a clear breakdown of the core formula and working Python code. Perfect for those diving into advanced reinforcement learning ...

What if the key to unlocking the full potential of your AI-powered workflows lies not in adding more tools but in optimizing the ones you already have? For developers and teams using Claude Code, the ...

In this paper, the smoothed finite element method, incorporated with the level set method, is employed to carry out the topology optimization of continuum structures. The structural compliance is ...

Delve into the potential of handwritten PTX code for enhancing GPU performance in CUDA applications, as outlined by NVIDIA experts. As the demand for accelerated computing continues to rise within ...

Have you ever been surprised by how quickly costs can spiral when working with large language models like Claude Code? While these tools are undeniably powerful for coding, problem-solving, and ...

ABSTRACT: We explore the performance of various artificial neural network architectures, including a multilayer perceptron (MLP), Kolmogorov-Arnold network (KAN), LSTM-GRU hybrid recursive neural ...

The internet (and especially my inbox) has been awash with buzz about vibe coding, a term coined by a former OpenAI founder and master programmer who waxed poetic about using an AI to do a lot of his ...

Software development has benefited greatly from using Large Language Models (LLMs) to produce high-quality source code, mainly because coding tasks now take less time and money to complete. However, ...