Although computers are overwhelmingly digital today, there’s a good point to be made that analog computers are the more ...

The constant scaling of AI applications and other digital technologies across industries is beginning to tax the energy grid ...

A new technical paper titled “Analog optical computer for AI inference and combinatorial optimization” was published by ...

Combinatorial optimisation is a fundamental field in applied mathematics and computer science that focuses on finding an optimal object from a finite set of objects. In this context, problems are ...

Experimental device harnesses quantum properties for efficient processing at room temperature. Engineers are working to design computers capable of handling a difficult class of tasks known as ...

Integer programming and combinatorial optimization form the backbone of many decision-making and resource allocation problems across diverse fields, from logistics and telecommunications to finance ...

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...

This is a preview. Log in through your library . Abstract This article is a review of combinatorial optimization in science and engineering applications. Combinatorial optimization has found wide ...

This is a preview. Log in through your library . Abstract We show that the stochastic versions of some classical problems in combinatorial optimization may be imbedded in multiparameter subadditive ...

Annealing processors are more energy efficient and quicker at solving mathematical optimization problems than PCs. Researchers at Tokyo University of Science have now developed a new approach to ...

Bicycle sharing systems have become an attractive option to alleviate traffic in congested cities. However, rebalancing the number of bikes at each port as time passes is essential, and finding the ...