Sentences with phrase «machine learning techniques for»

The analyses were then combined with modern machine learning techniques for data analysis, which enabled the integration of all data and global analyses of the entire immune system in blood.

Not exact matches

Instead, he said that the new chip, in conjunction with other chips, can be used for very specific kinds of machine learning techniques, although he didn't elaborate further.

Considering that a fax machine is apt to need service as frequently as a laser printer or an electronic typewriter — about one and a half times a year — learning to perform even a minor repair (for example: «Soldering Tips and Techniques») will sooner or later cover the price of the book.

The gym is also equipped with a non-traditional kind of scoreboard, which will showcase developers who come up with the best learning techniques for the machines.

US Army researchers recently unveiled a new method for applying machine learning techniques to facial recognition using thermal...

Signals is a playground for those who want to experiment with different trading models and machine learning techniques, as well as building and optimizing strategies and sharing them with others.

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.

For this example, we've built an approach using a Support Vector Regression, a common non-linear machine - learning technique.

«Machine learning and applying statistical techniques are suitable for repeatable experiments or applied to physical systems, which are predictable, where markets are not.»

Innovative machine learning techniques — often working under the hood of cutting edge solutions — make it possible to understand not only what's resonating with customers now, but what they'll be looking for further data, images, videos — or ignoring it because it's just too messy?

«We chose to attack the problem using machine learning implemented on a D - Wave quantum annealer, in order to test our ability to translate complicated real - life biology problems to the setting of quantum machine learning, and to look for any advantages this approach might offer over more conventional, yet state - of - the - art classical machine learning techniques,» Lidar added.

These are just a few recent additions to a small, but expanding, toolbox of techniques for forcing fairness on machine - learning systems.

For about the last ten years, researchers have been using artificial intelligence techniques called machine learning to decode human brain activity.

Rice University computer scientists have adapted a widely used technique for rapid data lookup to slash the amount of computation — and thus energy and time — required for deep learning, a computationally intense form of machine learning.

Additionally, the hippocampal and amgydalar shape will be used as features for classification and prediction of depression diagnosis and treatment response using advanced machine - learning techniques.

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.

In this case, seven different characteristics were necessary for predicting how the materials behaved, and our team's grad student Cory Simon's application of machine learning techniques greatly sped up the material discovery process by eliminating those that didn't meet the criteria.»

The challenges will test CANDLE's advanced machine learning approach — deep learning — that, in combination with novel data acquisition and analysis techniques, model formulation and simulation, will help arrive at a prognosis and treatment plan designed specifically for an individual patient.

«By developing and demonstrating rapid analysis techniques, such as data mining, graph analytics and machine learning, together with workflows that will facilitate productive usage on our systems for applications, we will pave the way for more and more science communities to use supercomputers for their big data challenges in the future,» said Venkat Vishwanath, ALCF Data Sciences Group Lead.

In a new paper, Schneider et al. outline a blueprint for a next - generation climate model that would employ advancements in data assimilation and machine learning techniques to learn continuously from real - world observations and high - resolution simulations.

Machine learning techniques provide cost - effective alternatives to traditional methods for extracting underlying relationships between information and data and for predicting future events by processing existing information to train models.

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.

Surden frames this machine learning process as an «outcome - oriented view of intelligence» and sees a lot of potential for applying these types of techniques in legal practice.

This search for great accountability was interesting, as it mirrored one of the greatest criticism folks have towards AI — that they can't trust the «black box» nature of some machine learning techniques.

The number of malicious apps removed from the store rose more than 70 percent in 2017 from 2016 to 700,000, thanks to an improved machine learning detection algorithm for malicious and abusive techniques, according to the company's end - of - year report.

«We've been building out, for many years, a collection of well over 75 machine learning algorithms and techniques to help drive content discovery and delivery,» explains Chris Phillips, Pandora's Chief Product Officer, of the personalization technology.

And it looks like it's going to take a while for other companies to catch up to Apple's TrueDepth camera and machine - learning techniques.

«We've been building out, for many years, a collection of well over 75 machine learning algorithms and techniques to help drive content discovery and delivery,» Pandora chief product officer of personalization technology Chris Phillips told TechCrunch.

I have experience as a statistical modeler and analyst developing risk models using multivariate techniques, marketing segmentation using clustering, process analysis using decision tree machine learning techniques, and time series analysis for...