In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...

Utilize AI to analyze application runtime data (e.g., rendering time, communication latency), obtain optimization suggestions (such as reducing component re-rendering, reusing hardware connections), ...

Top software engineering students are discovering that the jobs they trained for are evaporating just as they graduate. As AI ...

Abstract: To solve the constrained many-objective optimization problems (CMaOPs), the tradeoff among convergence, diversity, and feasibility is a crucial and challenging task. This article proposes a ...

Abstract: The tensor train (TT) is a popular way of representing high-dimensional hyper-rectangular data structures called tensors. It is widely used, for example, in quantum chemistry under the name ...