Sentences with phrase «machine learning team»

Glassdoor is a Pledge 1 % member; You'll be part of a very fast - growing and rapidly innovating machine learning team within Glassdoor,...

Apple's machine learning team published an all - new research paper today that dives deep into how Apple uses AI to power one of the most basic Siri commands.

Two of the workers joining Thalmic Labs are engineers from Iran and Pakistan who will be joining Thalmic's machine learning team.

Just a day after Uber announced the acquisition, however, the head of its machine learning team, Danny Lange, announced he had left and joined video game startup Unity Technologies.

And the applied machine learning team working on Deep Text was created in the fall, so this project is less than a year old.

Seattle, WA USA About Blog Mighty AI enables machine learning teams to generate accurate and diverse annotations on their datasets to train, validate, and test their algorithms.

Not exact matches

That a man of his experience and expertise chose Windward is humbling, and a testament to our team's success in marrying machine - learning with deep, maritime domain expertise.

While IBM has been selling Watson data crunching for several years, Kenny said that many of those deals have involved IBM's consulting teams helping businesses use the company's machine learning services.

After more than a decade of research on the use of machine learning to detect disease - causing mutations in DNA, Brendan Frey, biomedical engineering professor at the University of Toronto, this week launched his company, Deep Genomics, to bring the technology his team developed to the public at large.

LeadCrunch's DeepFind machine learning platform collects proprietary data as it searches for key patterns that can help your sales team turn a lead into a paying customers.

Developing an effective content creation machine requires a team effort, from getting team members involved in research and creation, to reaching out to guest contributors and getting community feedback on themes they want to learn more about.

Of course, it'll be a great recruitment tool for the company; the more data women enter about their reproductive cycles — and Glow gets personal: It asks about the sexual positions couples use while attempting to conceive, for example — the better Glow will work as Levchin, Huang, and the team apply machine - learning to the information to develop a deeper understanding of how to advise future users on how and when to conceive.

With the new influx of $ 140 million, Ghodsi and team are hoping to tackle the next big problem in the big data / machine learning / AI world: the lack of trained people.

Machine - learning then spots potential risks and even notifies the customer's care team.

The opportunities are very appealing, especially if you have a team that is strong on both crypto, quantitative trading, and machine learning.

Its team includes specialists in Big Data Analytics, Machine Learning algorithms and Cyber Warfare experts.

So you've got founding team risks, are the founders going to be able to work together; then you have product risk, can you build the product; you will have technical risk, maybe you need a machine learning breakthrough or something.

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.

Using visual tools to empower our teams and backing them up with smart system like machine deep learning we can provide the smartest supply chain in the world.

«I made the case that we needed a group focused on data mining, machine learning, and visualization research to involve not just astronomers but also computer scientists and statisticians,» says Kirk Borne, who chairs the informatics and statistics team.

«The team science approach pioneered at Berkeley Lab is being put to use to integrate all the information within the machine learning context,» said Wainwright.

The team also showed that this distillation process can be improved, drawing upon established techniques of machine learning, whereby physics provides the key information on which data set should be used to seek the relevant patterns.

Using a computer trained with a type of machine learning, the team then identified more than 70,000 fishing vessels and tracked their activity.

The interdisciplinary team of Harvard researchers, in collaboration with MIT and Samsung, developed a large - scale, computer - driven screening process, called the Molecular Space Shuttle, that incorporates theoretical and experimental chemistry, machine learning and cheminformatics to quickly identify new OLED molecules that perform as well as, or better than, industry standards.

To quantify bias, one team turned to a type of AI known as machine learning, which allows computers to analyze large quantities of data and find patterns automatically.

Then, to narrow the field, a team of researchers from the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS), led by Ryan Adams, Assistant Professor of Computer Science, developed new machine learning algorithms to predict which molecules were likely to have good outcomes, and prioritize those to be virtually tested.

The team's four machine - learning algorithms ranged in accuracy from 77.5 % to 85 %.

Google research scientist Lily Peng, a physician, led a team that developed a machine learning algorithm to diagnose a patient's risk of diabetic retinopathy from a retinal scan.

This year, for example, 341 math - minded teams entered an NCAA prediction contest hosted by Kaggle, an outfit that brings machine - learning might and prediction prowess to all sorts of complex problems.

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.

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.

His team's approach utilizes a machine learning system to analyze text and generate a score that represents each article's likeliness that it is fake news.

The team plans to continue exploring the design space of potential ssDNA - grafted colloidal nanostructures, improving its forward models, and bring in more advanced machine learning techniques.

Emotiv solved this brain — computer interface problem with the help of a multidisciplinary team that included neuroscientists, who understood the brain at a systems level (rather than individual cells), and computer engineers with a knack for machine learning and pattern recognition.

For a machine - learning algorithm that exhibits this kind of discrimination, Hardt's team suggested switching some of the program's past decisions until each demographic gets erroneous outputs at the same rate.

Burke's team used a machine learning technique called a convolutional neural network, which has revolutionized the field of machine vision.

The research team, which includes Dr Oscar Martinez Mozos, a specialist in machine learning and quality of life technologies, and Dr Grzegorz Cielniak, who works in mobile robotics and machine perception, aim to develop a system that will recognise visual clues in the environment.

The team checks these power forecasts against what actually materializes, and machine learning then improves the predictive models.

For Novotny, the feature is crucial because it will allow his team to «sample» qubits during the process, which opens the door to D - Wave exploring a different type of machine - learning algorithm that could learn to recognize much more complex patterns of cyberattacks.

The research, published in the journal PeerJ Computer Science, shows how the team utilised what is known as a «high throughput machine learning algorithm» to «read» the computer information behind eBay listings.

The team then entered the brain activity measures and behavioral test scores into a machine - learning algorithm.

Branson said she is happy to share her data with others after first publishing her own results, and her team has made its machine learning software (the Janelia Automatic Animal Behavior Annotator) freely available for download.

By using a machine - learning algorithm, the research team was able to understand the relationship between sentence meaning and brain activation patterns in English and then recognize sentence meaning based on activation patterns in Portuguese.

Now a team of researchers has used computer - vision and machine - learning techniques in fruit flies to create behavior anatomy maps that will help us understand how specific brain circuits generate Drosophila aggression, wing extension, or grooming.

Using all available geologic, tectonic and geothermal heat flux data for Greenland — along with geothermal heat flux data from around the globe — the team deployed a machine learning approach that predicts geothermal heat flux values under the ice sheet throughout Greenland based on 22 geologic variables such as bedrock topography, crustal thickness, magnetic anomalies, rock types and proximity to features like trenches, ridges, young rifts, volcanoes and hot spots.

The GTRI team is also engaged in other areas of research that support design security analysis, including exact - and fuzzy - pattern matching, graph analytics, machine learning / emergent behavior, logic reduction, waveform simulation, and large graph visualization.

Instead of randomly testing individual compounds, the team turned to AI and machine learning to build predictive models from experimental data.

The team continues to develop its model, but in the end «machine learning is only as powerful as the data we can get access to,» Preot ¸ iuc - Pietro says.

Using advanced machine learning, a cross disciplinary team of University of California San Diego researchers developed technology that mined Twitter to identify entities illegally selling prescription...

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.