Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

The original version of this story appeared in Quanta Magazine. In 1939, upon arriving late to his statistics course at UC Berkeley, George Dantzig—a first-year graduate student—copied two problems ...

Abstract: This study proposes LiP-LLM: integrating linear programming and dependency graph with large language models (LLMs) for multi-robot task planning. For multi-robots to efficiently perform ...

Fossil fuels, currently the most widely used energy source, exert a significant impact on the environment by serving as the primary contributors to greenhouse gas emissions. Furthermore, diesel ...

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...

Apple is shifting more iPhone production to India ahead of next month’s iPhone 17 launch, Bloomberg reports. The company will build all four iPhone 17 models there, and for the first time US-bound ...

Use of linear programming models has grown so extensively in recent years that the whole concept for organizing a computer code has undergone a radical change. It no longer is adequate merely to ...

An artificial intelligence safety firm has found that OpenAI's o3 and o4-mini models sometimes refuse to shut down, and will sabotage computer scripts in order to keep working on tasks. When you ...

As modern .NET applications grow increasingly reliant on concurrency to deliver responsive, scalable experiences, mastering asynchronous and parallel programming has become essential for every serious ...

ABSTRACT: With the rapid development of global economic integration and digital technology, the transportation system, as a core component of the supply chain, has become a key factor influencing the ...