Physicists in China have observed five phases in localization physics within a single quantum system. Using an advanced ...

He built interfaces that allowed engineers, scientists and everyday people to solve difficult problems without having to ...

The generative AI era began for most people with the launch of OpenAI's ChatGPT in late 2022, but the underlying technology — the "Transformer" neural network architecture that allows AI models to ...

15-Feb-2023: Simple examples from vOptGeneric have been adapted for MOA 15-Feb-2023: vOptGeneric.jl is no longer under active development 15-Feb-2023: vOptGeneric.jl has been redesigned and ...

Influence Maximization (IM) is a fundamental problem in network science with applications in viral marketing, information dissemination, cybersecurity, and epidemiology. Classical IM solvers often ...

Combinatorial optimization problems (COPs) encompass a class of problems that are aimed at finding optimal or near-optimal solutions within a finite solution space and that are prevalent in both ...

For the C implementation on GPUs (recommended for benchmarking), please visit the following repository: $$ \begin{array}{ll} \underset{x \in \mathbb{R}^n}{\min} \quad ...

Researchers used generative AI to develop a physics-informed technique to classify phase transitions in materials or physical systems that is much more efficient than existing machine-learning ...

Abstract: Quadratic programming problems are of up most importance in a variety of relevant practical fields, as e.g., portfolio selection. This work presents and develops an original and novel fuzzy ...

The ability to solve complex problems methodically and systematically is of utmost importance in the practice of Engineering. There is a growing interest in exploring potential contributions of ...

As remote sensing and imaging geodesy technology, Synthetic Aperture Radar (SAR), which can be spaceborne or airborne, has shown unique Earth observation capacity in recent decades. Compared to ...