Sentences with phrase «with machine learning algorithms»

You have knowledge and hands on experience with machine learning algorithms, feature engineering, and model validation and evaluation.

The 3340 mAh battery should keep the device alive for a day or more, while EMUI 5.1 with machine learning algorithms promises an optimized user experience.

«By combining our traditional published content and databases with machine learning algorithms, we can support chemists in innovative research as they advance world knowledge.»

Because of the lab's speed and volume, Hodak says that some companies are tracking their experimental runs with machine learning algorithms, which then analyze the results and churn out suggestions for the next set.

The ~ 200 GB of data for each brain was then analyzed with machine learning algorithms that identify individual neurons by type, according to parameters «learned» from human experts.

That said, we think over the course of 2018 and 2019 investors could come to appreciate how technology companies with large and compounding datasets will be able to combine their data with machine learning algorithms to create new sources of revenue, reduce costs, build predictive models and create compounding competitive advantages.

The dating app's value proposition: quality over quantity with a machine learning algorithm that provides users with one match each day at noon and a system that allows women to rate the men they date in real life.

Base calling was performed with the machine learning algorithm Ibis [63] and overlapping read pairs obtained from paired - end sequencing runs were merged into single sequences.

And companies like KMStandards, Diligence Engine, Seal, and eBrevia are doing creative work with machine learn algorithms in areas other than e-discovery.

The Mate 9 was built smart, with a machine learning algorithm designed to improve device performance over time.

Not exact matches

The technical challenge they had embarked on was indeed daunting, requiring models for turning speech, with all its nuances and inflections, into neatly labeled data that can be fed into machine - learning algorithms, which would then try to extract behavioral patterns from it.

IBM is using machine learning algorithms to train robots to better associate appropriate gestures and tones with phrases.

The industry is getting a makeover, with new offerings like «camera - ready» cosmetics that look great in photos and items that are highly customized — based on machine learning algorithms — for individual consumers.

With machine learning, technology has the ability to help businesses using sophisticated algorithms.

With this investment, Kabbage — a company that combines machine - learning algorithms, data from public profiles on the internet and other factors to rate and then loan small businesses money — will expand its lending products and services.

«Our learning machine algorithm integrates structured market data with unstructured crowd - sourced opinions to identify the bottom - line intelligence regarding stocks.»

Finally, it can do all of this even if it doesn't have the full frontal shot of your face (or even if your face isn't in the photo at all), thanks to a machine learning algorithm that can look at other elements in the picture and associated with the photo's data.

For this project with Rudetsky, we programmed machine learning reinforcement algorithms into Watson Beat.

Prattle uses a machine - learning algorithm to give each Fed communication a score, with a positive score providing a hawkish sentiment, and a negative score a dovish sentiment.

Using proprietary artificial intelligence technology and machine learning algorithms, Paysa analyzes millions of data points including jobs, resumes and compensation information, providing professionals with actionable tools, insights, and research.

Even though the research studied 30,000 cases, «there are still a lot of things that need to be looked at,» he said, «but based on our research and what our testing has shown, we are able to predict the future success of a new campaign that the machine - learning algorithm has never seen before with up to 80 per cent accuracy.»

Last month, Alibaba showcased some of those capabilities when it disclosed that its use of algorithms, artificial intelligence and machine learning, coupled with data, helped to shutter 417 production rackets, arrested 332 suspects and seized fake goods valued at RMB 1.43 billion ($ 207.2 million) in a joint operation with Chinese law enforcement between April and July last year.

The primary objective of Signals is to provide traders with a bounty of trading algorithms, from traditional technical analysis to machine learning methods.

It was built with many components, including analytics dashboards and machine learning algorithms.

With a dedicated team of data scientists and cutting - edge machine learning algorithms, Riskified is continuously developing new fraud prevention tools to maintain its position as the world's leading risk management platform, keeping our merchants one step ahead of frauds.

The Snip online community connects writers to < br / > readers directly, mitigating the risk of censorship and bias inherent in the < br / > legacy news industry.This < br / > entire process is seamless, with end users able to take in their own collection < br / > of snippets which are personalized through machine learning algorithms.

The machine's unique self - learning Genetic Algorithm (GA) technology offers maximum detection sensitivity and reliability, with the most sophisticated models able to spot impurities down to 0.3 mm in size.

The machines use patented software with a self - learning algorithm called Genetic Algorialgorithm called Genetic AlgorithmAlgorithm (GA).

They're machine - learning algorithms that researchers teach to recognize symptoms of a particular condition, using example images labeled with whether or not that patient had that condition.

«We built a simple yet robust machine - learning algorithm that can identify which video you watched — within a predetermined set of videos — with a high degree of accuracy,» Dubin says.

The other team employed a new 3D sensor and computer algorithms on a tablet computer and machine learning — a type of artificial intelligence — for the first time allowing surgeons to precisely measure the area, depth, and tissue type of chronic wounds with a mobile device.

As a graduate student at M.I.T.'s Media Lab, he wanted to teach a robot to talk, so he programmed Toco with sophisticated image and speech processing software combined with machine - learning algorithms that he hoped would do the trick.

By analyzing tweets and air quality information together, Ram and her collaborators were able to use machine learning algorithms to predict with 75 percent accuracy whether the emergency room could expect a low, medium or high number of asthma - related visits on a given day.

Zafar and colleagues tested their technique by designing a crime - predicting machine - learning algorithm with specific nondiscrimination instructions.

So computer and data scientists are coming up with creative ways to work around the black box status of machine - learning algorithms.

Big Data thus presents complex challenges for software developers, as the necessary algorithms can only be created with the aid of specialist skills in a wide range of different fields, such as statistics, machine learning, visualization, databases, and high - performance computing.

Fukui then used a novel machine learning algorithm prepared by his group to analyze the sounds and compare them with PSG data taken from the same sleeping students.

They tracked the resulting neural activity using functional magnetic resonance imaging (fMRI) and, with the help of a machine learning algorithm, showed they could classify the brain activity associated with each item.

The study to be presented by Jason Talbot, assistant professor of radiology at the University of California, San Francisco, involved using semiautomated image analysis with machine - learning algorithms to assess the accuracy of axial T2 - weighted radiomic features for classifying patients by degree of neurologic injury.

Still, the principle that Carleo (who recently moved to the Flatiron Institute in New York), together with Matthias Troyer, Guglielmo Mazzola (both at ETH) and Giacomo Torlai from the University of Waterloo as well as colleagues at the Perimeter Institute and the company D - Wave in Canada have used for their machine learning algorithm is quite similar.

SUPERVISED LEARNING A type of machine learning in which the algorithm compares its outputs with the correct outputs during tLEARNING A type of machine learning in which the algorithm compares its outputs with the correct outputs during tlearning in which the algorithm compares its outputs with the correct outputs during training.

A machine learning algorithm that writes rap lyrics in English and Finnish is now free online for anyone to play with, Motherboard reports.

But with machine learning, computer algorithms can quickly flip through available stacks of images, identifying patterns that reveal a star's properties.

Machine learning algorithms can predict failure times of laboratory quakes with remarkable accuracy.

It is an extension of TAMER that uses deep learning — a class of machine learning algorithms that are loosely inspired by the brain to provide a robot the ability to learn how to perform tasks by viewing video streams in a short amount of time with a human trainer.

As researchers team up with computer scientists to develop powerful algorithms and machine learning tools, they are increasing their capacity to identify patterns in huge datasets of biological information and reveal unknown connections to human disease.

«Our latest work is unique insofar as it identifies concept alterations that are associated with suicidal ideation and behavior, using machine - learning algorithms to assess the neural representation of specific concepts related to suicide,» Just said.

Founded by data scientists, clinicians, and microbiologists from MIT and OpenBiome, Finch uses machine - learning algorithms informed by high - throughput molecular data to reverse engineer successful experiences with fecal transplantation.

When coupled with deep neural networks — a type of machine - learning algorithm that has demonstrated high accuracy in performing pattern and image recognition — the devices would be able to provide continuous data collection to detect irregular heart rhythms.

Evaluating the diagnostic utility of applying a machine learning algorithm to diffusion tensor MRI measures in individuals with major depressive disorder.