Sentence examples for algorithmic capabilities from inspiring English sources

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While it appears to provide algorithmic capabilities for the simulation of such systems that are roughly comparable to those of more established approaches such as parallel tempering, it is intrinsically much more suitable for massively parallel computing.

Similar(59)

"We might have unique capabilities in terms of I.Q., algorithmic capability and infrastructure that the average company wouldn't otherwise have," Mr. Mundie said.

Hence, financial computing technologies with algorithmic trading capability, such as the one put forward in this paper, are necessary for the efficient and successful implementation of a pairs trade.

A main open question related to character-based tree reconstruction is designing generalizations of the Perfect Phylogeny approach that couple efficient algorithmic solutions to the capability of explaining the input binary data, by allowing back mutations of some characters.

In performing these evaluations, a basic parameter that we found useful in assessing the algorithmic performance is the capability to process large amount of data, which directly translates to the number particles that can be processed per unit time, the number of particles processed per second (PPS).

By incorporating these readily available experimental capabilities into a rigorous algorithmic framework, we show that overlapping spectra can significantly increase de novo sequencing accuracy and even make it almost error free when enough 'usable' MS spectra are available.

In a prepared statement, DTCP investment partner Guy Horowitz said, "We are excited by Dynamic Yield's strong machine learning capabilities, which allow for predictive, algorithmic user segmentation.

Partly algorithmic humans are not bound by existing human capabilities; new skills and abilities emerge when human intelligence is extended with algorithmic selves.

All three service models are used when it comes to big data: often IaaS for simple access to "unlimited" computing and/or storage capabilities, PaaS to establish one's own linguistic or algorithmic paradigm for processing big data, and SaaS when it comes to simply using a service or a combination of services for big data business analytics.

At the same time, though, wearable devices are more resource-constrained in terms of computational capability and memory, which calls for the design of algorithmic solutions that explicitly take into account these issues.

This algorithmic approach has been conceived with the aim of fully exploiting both the capabilities offered by the Bi-i system, that is, the analog processing based on the ACE16k as well as the digital processing based on the DSP.

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