The process of selecting and blending genes to create artificial networks -- synthetic biology -- holds promise for many applications. But developing artificial networks takes time and is often ...

Shenzhen, May 14, 2025 (GLOBE NEWSWIRE) -- MicroAlgo Inc. Announces Research on Quantum Information Recursive Optimization (QIRO) Algorithm, for Combinatorial Optimization Problems to Expand and Solve ...

Today Fujitsu Laboratories announced a collaboration with the University of Toronto to develop a new computing architecture to tackle a range of real-world issues by solving combinatorial optimization ...

Studies in fruitflies support the idea that regulatory regions of genes control development by acting as molecular 'computers', calculating cell fate according to the combined effects of several ...

We develop a novel framework, the implicit hitting set approach, for solving a class of combinatorial optimization problems. The explicit hitting set problem is as follows: given a set U and a family ...

A fundamental goal of synthetic biology is to predictably and efficiently reprogram cells to perform computations and carry out specific biological tasks 1. Cells genetically engineered with ...

Combinatorial optimization problems are problems that arise in everyday situations, involving the puzzle of determining the shortest route that can be taken between multiple points. Researchers have ...

A team of researchers led by Yumin Dong of Chongqing Normal University has developed a novel method to optimize parametric quantum circuits, a critical component of variational quantum algorithms. The ...

Also known as "combinatorial logic," it refers to a digital logic function made of primitive logic gates (AND, OR, NOT, etc.) in which all outputs of the function are directly related to the current ...

This is a preview. Log in through your library . Abstract Elementary combinatorial problems may be classified into three different combinatorial models (selection, partition and distribution). The ...

(Boston) -- Streamlining the construction of synthetic gene networks has led a team of Boston University researchers to develop a technique that couples libraries of diversified components with ...