Abstract.In this paper, a new penalty function approach is proposed for the linear bilevel multiobjective programming problem. Using the optimality conditions of the lower level problem, we transform ...

For the last few years, chain-of-thought prompting has become the central method for reasoning in large language models. By encouraging models to “think aloud,” researchers found that step-by-step ...

Optimization techniques have become a core tool for solving complex problems across diverse fields such as engineering design, economic planning, and scientific discovery. When tackling real-world ...

Artificial intelligence is getting smarter every day, but it still has its limits. One of the biggest challenges has been ...

After a mathematics win in July, Gemini 2.5 Deep Think has now scored a gold-medal level performance in competitive coding.

OpenAI's artificial intelligence models scored high enough to earn a first-place human ranking at the 2025 International ...

Gemini's solutions for this year's ICPC were scored by the event coordinators, but Google also turned Gemini 2.5 loose on ...

MIAMI GARDENS — Here’s a story that tells why Ollie Gordon might answer a nagging Miami Dolphins problem: His mother had to bring his birth certificate to youth football games to prove her oversized ...

Roman Empire 1, Evil Empire 0. That would have been the headline in a different time and place, back when the New York Yankees were good enough to be considered evil and consistent enough to be ...

Here's how to use artificial intelligence as a search tool to find grocery deals -- just make sure you double check that the info is up to date. Amanda Smith is a freelance journalist and writer. She ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...

Abstract: The sparsity-regularized linear inverse problem has been widely used in many fields, such as remote sensing imaging, image processing and analysis, seismic deconvolution, compressed sensing, ...