Sentence examples for and hardware to develop from inspiring English sources

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This particular set-up and the customized paradigms used in this experiment may be impossible for vendors of commercial stimulus presentation and data acquisition software and hardware to develop for the general neuroscience community due to the specific needs of each research laboratory.

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Funds raised in this campaign will be used to buy and install servers and other hardware, to develop new site functionality, expand mobile services, provide legal defense for the projects, and support the large global community of Wikimedia volunteers.

Venture-capital companies are already investing in quantum encryption devices, and university research groups around the world have large teams working both to build hardware and to develop quantum-computer applications — for example, to model proteins, or to better understand the properties of superconductors.

But the idea, says Benoît Pirenne, head of archive operations at Garching, is to find out what sort of research virtual observatories can be used for; to help astronomers to navigate around the various data formats; to provide heavyweight computer hardware; and to develop the necessary data-mining tools.

Founded in 2005, Fusion-io combines hardware and software to develop a storage memory platform, giving servers native access to data to accelerate enterprise databases and applications while reducing energy consumption.

Harmless is dedicated to the generation of simulators for hardware platforms to develop and test real-time embedded applications.

In this paper, we combine these two different heterogeneous architectures, software architecture-Hadoop framework and hardware architecture-GPU, to develop a high performance cloud computing service for protein sequence alignment.

The paper by C.-L. Hung and G.-J. Hua entitled " Local alignment tool based on hadoop framework and GPU architecture" combines two different heterogeneous architectures, software architecture-Hadoop framework and hardware architecture-GPU, to develop a high performance cloud computing service, called Cloud-BLASTP, for protein sequence alignment.

Fundamental requirements in pursuing these issues are to deeply study the processes in order to represent them at the hardware level, and to develop a distributed control system to handle emergent behaviour.

Rising interest in metabolomics has led vendors of molecular separation and detection equipment to develop hardware, software, and support specifically for metabolomics.

This approach is scalable in respect of how many data sources can be integrated (the number can be limited only by the hardware availability) and relatively inexpensive to develop and maintain as we deliberately keep human intervention at a minimum.

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