A research team led by TU Darmstadt has transformed a difficult problem in quantum physics into a much simpler version ...

A research team from the Ningbo Institute of Materials Technology and Engineering (NIMTE) of the Chinese Academy of Sciences has developed a new method to enhance the efficiency of dynamics modeling ...

Machine learning method improves accuracy of inverse protein folding for drug design by University of Sheffield edited by Lisa Lock, reviewed by Robert Egan Editors' notes ...

This work presents GenDP, a programmable dynamic programming acceleration framework that supports general-purpose acceleration for genomics kernels in commonly used sequencing pipelines.

In this paper, we study the distributed optimization problem of general linear multi-agent systems with heterogeneous dynamics under directed weight-unbalanced communication topologies. Compared with ...

In this paper, we report the development of a linear-scaling method for the formation of Coulomb matrices that is based on a new proposal of how to employ the multipole expansion. The method, called ...

In this process, we propose a series of unique strategies for ordered structure programming, such as interfacial, unconstrained, or modular methods. These methods either reduce the usage of patterned ...

CSCA 5414: Dynamic Programming, Greedy Algorithms CSCA 5414: Dynamic Programming, Greedy Algorithms Get a head start on program admission Preview this course in the non-credit experience today! Start ...

We introduce novel algorithms for solving dynamic programming problems in economics on a quantum annealer, a specialized quantum computer used for combinatorial optimization. Quantum annealers begin ...