Sentences with phrase «own machine learning systems»

RankBrain is the name given to the machine learning system that's used to help the Google search engine process and formulate the appropriate results for a given search.

Machine learning systems work more like a brain, which has billions of neurons each linked to thousands of synapses all working in parallel.

Nervana has built an extensive machine learning system, which runs the gamut from an open - sourced software platform all the way down to an upcoming customized computer chip.

Apple's competitors are fueling their AI and machine learning system with tons of data from customers that has been uploaded and processed in cloud data centers.

Vidrovr: Vidrovr develops multimodal computer vision and machine learning systems to index, tag, and understand video.

The company is using its technology to help customers build and train their own machine learning systems, which adds more value to a rapidly growing cloud business.

Machine Learning Systems have a larger system - level complexity than traditional software - based systems and thus have the potential to incur massive ongoing maintenance costs.

With the «Loyalty Prediction» tool, Facebook is not only curating thousands of data points across its user base to serve up ad audiences, its feeding those data points into a machine learning system that will anticipate what the next data point will be — a stark difference from simply collecting user data.

Because Watson for Oncology is a machine learning system, its outputs are only as good as its inputs.

It's those difficult - to - detect events that VISA — a machine learning system that Brown's Erik Sudderth helped to design — aims to find.

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.

Much of the learning software needed to give cars autonomy is openly available: anyone can download and use Torch or Caffe, two of the most widely used machine learning systems.

A machine learning system then generated a similarity score measuring how alike any two games are.

A machine learning system turns lyrics into song by composing a pop music score to suit the words it's given.

It's possible to trick machine learning systems into hearing and seeing things that aren't really there.

He continues, «For machine learning systems, strong scaling (keeping the total amount of work constant) is more representative of actual performance.»

With a database of over 2 billion mobile profiles, machine learning systems, and advanced predictive intelligence, Liftoff enables marketers to programmatically target mobile users most likely to engage with their apps.

The Machine Learning system offers a comprehensive overview of Big Data and uses it to predict the outcome.

The Machine Learning systems of the future can be likened to a private virtual tutor, offering them the coursework they need just when they need it.

Machine Learning systems require the complete picture, not just a snapshot of the last few days or weeks.

This suite of resources introduces machine learning by providing hands - on experiences to train machine learning systems.

IBM scientists have been granted a patent around a machine learning system that can dynamically shift control of an autonomous vehicle between a human driver and a vehicle control processor in the event of a potential emergency, providing a safety measure that can contribute to accident prevention.

There is a push to include ethics in the discussion surrounding artificial intelligence and machine learning systems and hopefully this will be the first step in dramatically cutting bias.

Over the past few weeks, Mike Shatzkin, Neil Balthaser and Ali Albazaz have debated whether machine learning systems will be able to predict a bestseller (Mike's initial blog post is «Full text examination by computer is very unlikely to predict bestsellers»; Neil's response is «Yes, Machine Learning Can Help Predict a Bestseller»; and Ali's article is «Artificial intelligence and the art of reader - driven publishing.»)

That said, the growing deployment of machine learning systems raises larger questions for publishers that must be addressed soon, before publishers lose control over their intellectual property.

With a database of over 2 billion mobile profiles, machine learning systems, and advanced predictive intelligence, Liftoff enables marketers to programmatically target mobile users most likely to engage with their apps.

Sam Lavigne's work will aim a machine learning system at gallery visitors, demanding they perform movements and mimic behaviors for its benefit.

While AI is in effect «language agnostic», i.e. a machine learning system can be taught to look for patterns in any kind of text, those training it naturally have to be proficient and know what they are looking for.

Artificial Lawyer has long expected to see the leveraging of advanced legal tech, e.g. machine learning systems that can help predict client outcomes, to become a competitive advantage that could help shape the market.

While on one level this may seem a big ask of a machine learning system, the three co-founders are well experienced.

The secondment of associate, Aaron Baer, is unusual in that it is more often the case that law firms invite legal AI companies into their offices to work with them on a consulting basis, for example, to help train staff on how to use NLP and machine learning systems, or to develop new types of document search.

It also perhaps indicates that client demand for machine learning systems that can provide efficiencies in terms of time and accuracy are not just being demanded by the largest global companies based in the UK capital, but now across the country, which remains the world's second largest legal market after the giant US market for legal services.

The thing is is that the AIs that exist right now, and most of the good ones are machine learning systems, the things that you're hearing about today are subsets of machine learning, but there are other things that fall within AI that are not machine learning.

Furthermore, AI systems that are based on machine learning systems and that can not explain how they reach their results may not be appropriate for producing substantive legal conclusions.

In which case there would appear to be a market opportunity to build home - grown legal tech applications across a wide range of areas, from case management to more advanced prediction and machine learning systems.

One interesting question in this context is whom to blame for damages caused by artificial intelligence or machine learning systems?

Kyle's experience involves a wide range of technologies, including computer systems, computer software applications, communication networks, electronic test equipment, data storage systems, semiconductor devices, integrated circuit process technology, satellite television systems, online marketplace systems, enterprise resource planning systems, database systems, machine learning systems, and mechanical devices.

Some observers suggest that machine learning systems such as IBM Watson can replace large numbers of lawyers.

Today, we see due diligence accelerated by machine learning systems but the impact of AI beyond this remains limited.

But, adds Nickerson, all of these new technologies need oversight by lawyers to review and grasp the nuances of the responses churned out by the machine learning systems.

There are literally dozens of components that go into AI systems — from computer vision and machine learning systems to process the world and decide what to do, through to the hardware mechanics to execute those decisions — and Boston Dynamics is one of the few synthesizing all of them in one place successfully, which begs all kinds of questions about what these robots could do in a few years» time, versus what they should be doing.

Dubbed Project Maven, the controversial artificial intelligence surveillance engine uses Google's machine learning system to spot objects in drone footage.

The company has revealed that the next big Windows 10 update will include an AI platform, Windows ML, that lets developers use pre-trained machine learning systems in their apps.

In other updates on the steps announced in June, YouTube says its machine learning systems are catching extremist content on the platform at twice the rate and volume as before, and that it is working with more than a dozen organizations, including Anti-Defamation League, the No Hate Speech Movement, and the Institute for Strategic Dialogue to inform its policies and efforts to identify extremist content.

... Google on Monday announced the release of TensorFlow, its second - generation machine learning system, to the open source community.

It'll work with a new machine learning system intended to cut out false warnings from motion - triggered alerts, together with a redesign of Nest's app that will affect users of its entire range of smart home products.

To make things faster and easier to maintain, Google developed the machine learning systems that automatically compare app behavior and distinguishes those acting abnormally.

Google confirmed that it's providing the DoD with APIs for its TensorFlow machine learning system.

Since the feature works on machine learning system, it learns different ways your face changes over a period of time.

For instance, she pointed out that a vision - learning system that can differentiate between cats and dogs, might not be very useful for business that needs a machine learning system to recognise shoes of different colours.