Sentences with phrase «machine learning applications»

Modified the application tier of one of the company's machine learning applications to use ODBC instead of LINQ

Summary: Senior data scientist statistical machine learning expert * Senior Data Scientist / Applied Mathematician / Statistician: Experienced architect and developer of statistics and machine learning applications in many areas.

«To expand the reach of HDR +, to handle the most challenging imaging and machine learning applications, and to deliver lower - latency and even more power - efficient HDR + processing, we have created Pixel Visual Core.»

It will support image processing on machine learning applications and HDR + image processing.

Soon, PCs will operate complex machine learning applications locally that normally run in the cloud.

In a press statement, a Google spokesperson confirmed that the company was giving the DOD access to its open - source TensorFlow software, used in machine learning applications that are capable of understanding the contents of photos.

In the future we could see this leading to more imaging and machine learning applications too.

Google.ai is the company's new AI platform for developers, allowing them to build machine learning applications in the cloud.

The software has a feature that will let you use your device as a virtual touchpad and keyboard for a PC, and they will also support Android's neural network API to let developers make full use of hardware acceleration for machine learning applications.

Built for machine learning applications, TPU has been running in Google's data centers for more than a year.

Machine learning applications like predictive coding have been around for years and are well established.

Other examples of potential machine learning applications include: the discovery and identification of «non-obvious relationships» within large document collections extracting «subtle but useful patterns that can be employed to automate certain complex tasks»; analysing contracts for both structural aspects and potential correlations **; using automated document clustering techniques to assist in finding «prior art» in patent law cases to determine whether a patent application is new or not.

For example, create an outline of the desired outcomes in order to identify Machine Learning applications in your organization, such as how it will help you reduce employee turnover or manage HR operations more effectively.

Rohit presented his work on using machine learning applications for predicting prognosis in primary melanoma based on gene expression profiles derived from primary melanoma tumours.

There are machine learning applications like RecargaPay, the mobile wallet focused on financial services for the unbanked, that enable the consumer's ability to self - serve thanks to digital capabilities.

«A machine learning application, like the one in the paper, is one direction» for quantum computers, Hen says.

Rather, the machine learning application parses the query and dynamically mines the underlying data set for the answer.

Not exact matches

There are a lot of open - source resources for machine learning and artificial intelligence applications.

Iranian - born engineer Amir Moravej drew on his own experience to build a service that uses machine learning to assist people with their applications

The enterprise chatbot - building solution uses machine learning technology to develop data - driven applications for businesses of all kinds.

Cardamone told CNBC, «We're starting to see more sophisticated machine learning and blockchain based applications become useful for different industries.

The 55 - year - old Dane has developed machine learning and AI applications for some of the prominent tech - companies in the world, including Amazon, Google, Microsoft, and Uber.

Within those areas, you'll see a focus on such real - world applications as machine learning, network security, visual computing, natural language processing, among others.»

At Madrona, he is focusing on Machine Learning / Artificial Intelligence, Intelligent Applications and Developer centric platforms and tools.

The National Academies of Sciences, Engineering, and Medicine organized a two - day workshop on the capabilities and applications of artificial intelligence and machine learning for the intelligence community on August 9 - 10, 2017.

Alibaba is developing its own neural network chip, the Ali - NPU, which will be used in AI applications, such as image video analysis, machine learning,...

Topic: AI & Machine Learning: From Hype to Real World Application Location: McKay Atrium, E. Craig Wall, Jr..

Cybersecurity ・ Regulation and Compliance Tech ・ Payments Tech ・ Specialty Lending ・ Capital Markets Tech ・ Blockchain Applications to Banking Processes ・ Cryptocurrency ・ Banking SaaS / PaaS Solutions ・ Digital Identity ・ B2B2C Financial Tools ・ Insurtech ・ Big Data Analytics, Machine Learning, and AI

Sameer Gandhi, partner at Accel, says he invested because he believes «Deserve's application of machine learning is a big opportunity to advance beyond the FICO system in a technologically sophisticated way and give future generations better ways to establish credit.

The application leverages cloud computing and machine learning to automatically collect and analyze business documents for financial reporting, reconciliation and audit proofing.

Less obvious, we believe, are the opportunities emerging for enterprise software - as - a-service (SaaS) application companies as machine learning advances and as customers embrace SaaS deployment models over more cumbersome «on - premise» technology deployments (meaning those installed in an enterprise's data center).

The Intercept reports Facebook denied FBLearner Flow is used for marketing applications, but that it does use machine learning for ads.

Twitter today is taking another step to build up its machine learning muscle, and also potentially to improve how it delivers photos and videos across its apps: the company is acquiring Magic Pony Technology, a company based out of London that has developed techniques of using neural networks (systems that essentially are designed to think like human brains) and machine learning to provide expanded data for images — used, for example, to enhance a picture or video taken on a mobile phone; or to help develop graphics for virtual reality or augmented reality applications.

While Facebook denied FBLearner Flow is used for marketing applications, it's difficult to separate it from machine learning that drives Facebook's «Loyalty Prediction» tool.

One application that has seen immediate return for companies adopting machine learning capable AI is Multi-Echelon Inventory Optimization (MEIO), which has been shown to reduce inventories by 30 % while maintaining or improving customer fill rates.

Our application leverages cloud computing and machine learning to automatically collect and analyze business documents for financial reporting, reconciliation and audit proofing.

«We are excited to invest in real - world, practical applications of machine learning and artificial intelligence.

The Pure Storage Data Platform, powered by all - flash storage, offers a simpler, more effective, and more flexible solution for cloud infrastructure and data - rich applications like artificial intelligence, machine learning and big data analytics.

«Machine learning tools are really coming of age and starting to see applications in a lot of scientific domains,» said Adams.

While Balch had long practiced machine learning for his academic job, the financial application of the technology was merely a «hobby» for him at the time, he says.

Ong, who leads the Materials Virtual Lab and is a faculty member in the Sustainable Power and Energy Center at UC San Diego, uses a combination of high - throughput calculations and machine learning to discover next - generation materials for energy applications, including batteries, fuel cells and LEDs.

In the first practical application for the machine learning, the team worked with Assistant Professor Jim Cahoon, Ph.D., in the UNC Department of Chemistry to design a new electrode material for a type of low - cost solar cells.

He added that the application of automated machine learning methods would be useful as a potential screening tool.

What we have shown is that the machine can, by itself, learn the rules and their applications from the literature available.»

The study, published in the October 28 Early Online edition of Proceedings of the National Academy of Sciences (PNAS), is the first to demonstrate the application of this methodology to the design of self - assembled nanostructures, and shows the potential of machine learning and «big data» approaches embodied in the new Institute for Data Sciences and Engineering at Columbia.

Machine - learning prediction methods have been extremely productive in applications ranging from medicine to allocating fire and health inspectors in cities.

This is typically achieved through dimensionality reduction, feature extraction and application of various machine learning algorithms to classify signals.

Machine learning algorithms are widely used in applications like biometric identification systems and weather trend data, and allow researchers to understand and compare complex sets of data through simple visual representations.

A form of machine learning called deep learning is one of the key technologies behind recent advances in applications like real - time speech recognition and automated image and video labeling.

Today, Sentient released five papers and a web portal reporting significant progress in taking this step, focusing on three areas: (1) DL architectures are evolved to exceed state of the art in three standard machine learning benchmarks; (2) techniques are developed for increasing performance and reliability of evolution in real - world applications; and (3) evolutionary problem solving is demonstrated on very hard computational problems.