It takes a supercomputer weeks to output the properties of one stellar binary. A new study shows AI can do it in a fraction ...

Mixture-of-Recursions (MoR) is a new AI architecture that promises to cut LLM inference costs and memory use without ...

Students gave their consent that their stories could be used for research purposes and might be published. Out of a class of ...

Large language models (LLMs) like BERT and GPT are driving major advances in artificial intelligence, but their size and ...

If you ever stumble upon the mysterious code 297.2/234 and wondered what on earth it means, you’re not alone. This article, ...

This study proposes a comprehensive strategy to optimize the operation of real-world gas pipeline networks and support decision-making. The goal is to improve environmental sustainability by ...

This research explores the use of virtual reality (VR) in Computer Science education to enhance the visualization and understanding of algorithm complexity and data structures. The proposed VR system ...

However, numerical solutions of the RK methods may become inaccurate by the excessive numerical damping if large time steps are used. For this reason, the RK methods were not recommended for the ...

Thirty-eight percent believe the cost of harmonizing data management outweighs its likely benefits. Lack of progress on data management has significant implications for AI adoption, ISG says.

Deep neural networks (DNNs) have been widely used for learning various wireless communication policies. While DNNs have demonstrated the ability to reduce the time complexity of inference, their ...