One of the most pervasive and significant challenges in materials science is the prediction of the equilibrium structure and properties of interfaces in multicomponent systems as processing variables ...

We present a genetic algorithm for the multiple-choice integer program that finds an optimal solution with probability one (though it is typically used as a heuristic). General constraints are relaxed ...

A new algorithm developed by researchers at Columbia University can analyze thousands of variants across the genome and estimate a person's risk of developing chronic kidney disease -- and it works in ...

ABSTRACT In this paper, an optimization method is proposed to improve the efficiency of a transmission equipped electric vehicle (EV) by optimizing gear shift strategy. The idea behind using a ...

Proteogenomics explores how genetic information translates into protein expression and function, and the role of changes across DNA, RNA, and proteins in influencing disease development and ...

Roula Khalaf, Editor of the FT, selects her favourite stories in this weekly newsletter. A global team of scientists has discovered how to make more accurate predictions of genetic mutations that ...

For the last few years or so, the story in the artificial intelligence that was accepted without question was that all of the big names in the field needed more compute, more resources, more energy, ...