Sentences with phrase «volume data processing»

New Bank of America patent filings hint it believes blockchain could one day assist its high - volume data processing objectives.

Not exact matches

Nvidia's core graphics processing chips are popular for self - driving applications because of their ability to process large volumes of visual data very quickly.

The new software targets data - intensive applications requiring high - speed access to massive volumes of information generated by countless devices, sensors, business processes, and social networks; examples include seismic data processing, risk management and financial analysis, weather modeling, and scientific research.

The volume and velocity aspects refer to the data generation process: how to capture and store the data.

Founded in 1978, Computershare is renowned for its expertise in high integrity data management, high volume transaction processing and reconciliations, payments and stakeholder engagement.

One of the major factors has been the increased capability of computers to process vast volumes of data.

They can also process huge amounts of numeric data and identify patterns in a vast volume of new information, which is important for a good technocrat or consultant.

We differentiated between computational approaches (either based on volume data, such as the number of mentions related to a party or candidate or the occurrence of particular hashtags; or endorsement data, such as the number of Twitter followers, Facebook friends or the number of «likes» received on Facebook walls), sentiment analysis approaches, that pay attention to the language and try to attach a qualitative meaning to the comments (posts, tweets) published by social media users employing automated tools for sentiment analysis (i.e., via natural language processing models or the employment of pre-defined ontological dictionaries), and finally what we call supervised and aggregated sentiment analysis (SASA), that is, techniques that exploit the human codification in their process and focus on the estimation of the aggregated distribution of the opinions, rather than on individual classification of each single text (Ceron et al. 2016).

The nature of unconscious thought that emerges from contemporary experiments is radically different from what Freud posited so many years ago: It looks more like a fast, efficient way to process large volumes of data and less like a zone of impulses and fantasies.

In a new approach, members of the team including Dr Attila Popping from International Centre for Radio Astronomy Research and the ARC Centre of All - sky Astrophysics (CAASTRO) in Australia are working with Amazon Web Services to process and move the large volumes of data via the «cloud».

The enormous volume of data was processed by Gati using software called CrystFEL specifically created for this method.

The new WITec Suite software, for WITec imaging systems, was developed to acquire and process large data volumes of large - area, high - resolution measurements, and 3 - D imaging while providing speed, performance, and usability.

Worldwide growing data volumes make conventional electronic processing reach its limits.

The volume of data is far more rapid; more colleagues — even nonscientists — are part of the conversation; and the volume of data able to be collected, reviewed and processed is comparatively massive.

The company is judging success by how much data - processing ability it can squeeze into a given volume.

One of the project's biggest challenges will be coping with the volume of data the telescope will produce, far too much to be processed by human beings.

The MPEG audio codecs xHE - AAC and HE - AAC process data intelligently, reducing data volumes drastically while retaining quality levels.

In addition to using FAU's Cloud computing system, FAU will leverage LexisNexis HPCC Systems ®, the open - source, enterprise - proven platform for big data analysis and processing for large volumes of data in 24/7 environments.

Tony Coad, the managing director of NDL International of London, which collects and processes large volumes of consumer data, says that Britain has the best self - regulated data processing industry in Europe.

The majority of projects in SFB 944 make use of state - of - the - art multimodal imaging techniques, leading to the generation of large volumes of raw and processed experimental data.

The volume of data that is becoming available, however, brings with it the need to process this information accurately and rapidly.

Technologies to visualize neurons in live subjects — as well as process such gargantuan volumes of data — do not yet exist, so only post-mortem studies in simpler organisms are even presently imaginable.

Because of the speed with which these operations can now be done, the volume of data processed can be substantially increased too.

As implied above, Big Data generates volume from the storage and processing of very large quantities of digital information that defies analysis using traditional computing technologies.

The research presented in this volume seems to support incorporating data around adult collaboration into accountability measures — data that «reveals more about how schools actually work — work processes, social interactions, norms and beliefs, and especially how all of this comes together.»

To make the process more complicated, each vendor can choose to get EOD data from another EOD data provider or the exchange itself, or they can produce their own open, high, low, close and volume from the actual trade tick - data, and these data may come from any exchanges.

Big Data primarily refers to the processing of large, complex and rapidly changing data voluData primarily refers to the processing of large, complex and rapidly changing data voludata volumes.

eCast's value is derived from proprietary techniques developed by AER to quality control, analyze, and process the volumes of ECMWF ensemble forecast data; similar, yet subtly different forecasts are transformed into valuable information.

This first volume in the series looks at Mann, the hockey stick's dramatic rise, its trashing of history, mishandling of data and risible statistical processes, and the bigger issues that arose in its wake: the politicization and then corruption of science, and the thuggish retaliation meted out to scientists brave enough to question it.

Second, «All they have done is to throw it all together,» is a specious contrivance both reflecting no understanding of the process of building a dataset, and also denying the volumes of complaints that not all the data that was available was being used.

al. (1998) Proxy Data Base and Northern Hemispheric Average Temperature Series,» was published in Energy and Environment (Volume 14, Number 6 / November 2003), a journal that was not carried in the ISI listing of peer - reviewed journals and whose peer review process has been widely criticized for allowing the publication of substandard papers.

The two - day FAMOS workshop will include sessions on 2017 sea ice highlights and sea ice / ocean predictions, reports of working groups conducting collaborative projects, large - scale arctic climate modeling (ice - ocean, regional coupled, global coupled), small (eddies) and very small (mixing) processes and their representation and / or parameterization in models, and new hypotheses, data sets, intriguing findings, proposals for new experiments and plans for 2018 FAMOS special volume of publications.

Such quantities require purpose - built platforms that are able to process massive data volumes at very high speed.

We recently ran into a situation where the volume of data being processed crashed our server, without warning.

Faced with the need to manage greater volumes of data as well as multiplying communications channels, organisations and their legal representatives will have little choice but to implement new technology - based processes to reduce the time needed to identify and manage information required to satisfy...

Faced with the need to manage greater volumes of data as well as multiplying communications channels, organisations and their legal representatives will have little choice but to implement new technology - based processes to reduce the time needed to identify and manage information required to satisfy regulatory and legal demands.

«Ultimately, the volume of data is increasing, so in order to keep the costs down, you need to have a defensible process in place and good partners.»

When the process is finished, the system will report on the nature and volume of the data held by individual custodians.

Descriptive analytics uses advanced technologies such as natural language processing and machine learning to mine large volumes of historic legal data and turn it into actionable insights.

Collected data must be filtered to reduce the volume that is endemic in the electronic world and processed into a uniform and reviewable form.

If grappling with large volumes of electronically stored information (ESI) and understanding technology jargon and processes were not enough for the litigator, issues of data privacy (not to be confused with data security) are arising.

We offer all the services needed to help contain costs and reduce the huge volume of discovery - related data that is often associated with litigation and investigation processes.

Given the fact that the volume of Electronically Stored Information (ESI) is doubling every two years, data analysis is the primary means by which legal professionals can streamline the discovery process to make it affordable, reasonable and proportional for all parties involved.

In modern eDiscovery, Early Case Assessment (ECA) is seen as an essential component in reducing costs as a result of reducing data volumes for both processing and more importantly, review.

Clearly, in large IT forensic investigations involving multiple suspects and data sources, combining traditional identification methodologies with ECA tools can help to massively reduce the volumes of data requiring preservation, processing and analysis.

A strong preservation process should take into account e-discovery defensibility as well the need to control data volumes, support larger company goals (including not disrupting other business processes), and keep legal teams focused on the merits of litigation.

Currently, the collective stream of data and processed invoices represents more than $ 10 billion in legal spend, 2 million invoices, and well over 300,000 matters gathered over the past 4 years, with the volume of data available for analysis growing at a rapid pace.

Deploy our inventive strategies to facilitate early case assessment, accelerate processing, and reduce your data volumes by as much as 85 %.

A 2016 IT upgrade has apparently «made a huge difference», while Addleshaw's deal volume arm are «using all sorts of AI and data platforms to streamline work processes».

But now, it seems like in - house counsel are expected to have business acumen to come with data to back up their intuition and their recommendations, and to be able to process these huge volumes of legal work product efficiently and cost effectively.»