A research team from the Ningbo Institute of Materials Technology and Engineering (NIMTE) of the Chinese Academy of Sciences ...

This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

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 ...

Stanford University researchers report the discovery of eight previously unknown genes that, when expressed in tobacco leaves, reconstitute the Taxol precursor baccatin III at levels matching its ...

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 ...