Sentences with phrase «used machine learning systems»

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.

Huawei also uses this machine learning system to monitor how you use the phone, and what apps you frequently use, to try and predict what you do on a regular basis.

Not exact matches

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.

«Using machine learning to find a needle in a haystack is where computers can help us transcend our limitations,» says Professor Adam Pah from Northwestern University's Kellogg School of Management and Northwestern's Institute on Complex Systems (NICO).

Microsoft is among a wave of tech companies including IBM and GE with major ambitions in the health care space, particularly when it comes to using machine learning and artificial intelligence to bolster the medical system.

«We use high - performance transactions systems, complex rendering and object caching, workflow and queuing systems, business intelligence and data analytics, machine learning and pattern recognition, neural networks and probabilistic decision making, and a wide variety of other techniques,» founder and CEO Jeff Bezos famously noted in a 2010 letter to shareholders.

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.

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.

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.

Dr Sarvapali Ramchurn, co-author from ECS, adds: «Smart energy systems that use machine learning techniques are increasingly integrated in all aspects of our lives.

The IBM Watson system that played Jeopardy! used a machine - learning - based system that took a lot of data that existed in the world — things like Wikipedia and so on — and used that data to learn how to answer questions about the real world.

Creators of machine - learning systems «used to be able to look at the source code of our programs and understand how they work, but that era is long gone,» says Simon DeDeo, a cognitive scientist at Carnegie Mellon University in Pittsburgh.

Using machine learning, the researchers collected hundreds of quantities that characterize the arrangements of particles in each system, quantities that individually might not be expected to reveal much.

Using what are called brain — machine interfaces (BMIs)-- essentially cyborg connections between prosthetic devices and the nervous system — researchers for the first time were able to show that the process of learning to use a BMI - controlled device can trigger significant neurological recovery in patients with chronic spinal cord injuries.

Computing experts at Sandia National Laboratories have launched an effort to help discover what computers of the future might look like, from next - generation supercomputers to systems that learn on their own — new machines that do more while using less energy.

The open source software package the researchers have designed, known as Microbial Dynamical Systems INference Engine (MDSINE), uses advanced machine learning technologies to accurately predict how microbial communities in the gut will grow and interact over time.

The automated system uses natural language processing and machine learning to analyze the text of privacy policies.

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.

Both Oxford's MozzWear Android app and Stanford's web - based Abuzz system let you record a mosquito's buzz using the microphone on any basic mobile phone, and then analyse the acoustic profile using a machine - learning algorithm.

A video analysis system uses motion tracking and machine learning to rate how good surgeons are at suturing wounds.

In order to make the process of pain detection more accurate, the Cambridge researchers behind the current study used the SPFES as the basis of an AI system which uses machine learning techniques to estimate pain levels in sheep.

The system, devised by engineers at electronics manufacturer Mitsubishi Electric in Tokyo, uses a machine learning technique they call «deep clustering».

Indeed, the researchers» new paper includes a mathematical proof that the particular type of machine - learning system they use, which was intended to offer what Poggio calls a «biologically plausible» model of the nervous system, will inevitably yield intermediary representations that are indifferent to angle of rotation.

«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.

Through Machine Learning, the system uses neural network algorithms to provide personalized learning paths for learners aligned to their business objLearning, the system uses neural network algorithms to provide personalized learning paths for learners aligned to their business objlearning paths for learners aligned to their business objectives:

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

I'm currently working for Eagle Vision Systems, where we specialize in using computer vision and machine learning to solve motion control problems for industrial robotics.

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The enhanced system will use a machine - learned model to give more weight to newer, more helpful reviews from Amazon customers.

It is also useful for machine - learning systems that can use past decisions as a source of data to provide tailored insights about how decision - makers have traded off various factors.

RAVN Systems: RAVN uses natural language processing and machine learning to index, organise, discover and summarise content.

«I thought tax is such a fantastic area to use machine learning, because the tax system is so complex and deep.

In fact, it seems a surprising reason not to implement AI systems, given that an AI's machine learning capability will improve via the use of a training set of documents.

That means you can't iron all the bugs out of the code because some legal relationships — in this case — are too complex.1 So someone will have to code the contract, maintain the code, improve the code, calibrate the machine learning on which the conditions are based, calibrate the value systems used by the AI contract drafters, and so on.

Their peer - reviewed research paper, «Evaluation of Machine - Learning Protocols for Technology - Assisted Review in Electronic Discovery,» also showed that using random documents was the least effective method for training a TAR system.

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 is a system for using machine learning to perform due diligence and contract analysis, tedious review tasks typically relegated to large - firm corporate associates.

Rank Brain is a machine - learning system developed by Google and is used to help process search results from queries entered by users.

The machine learning evaluates the user's facts using the ingested case law to identify the substantively correct classification and the system's confidence.

Fresh on the Radar — More AI — US legal tech startup eBrevia has just launched Bespoke, a system that uses AI / machine learning to review and analyse contract terms.

The platform uses machine learning to automatically interpret the questions that clients enter into the system so it can match them with the right type of attorney.

The system is built on IBM Watson, a technology platform that uses natural language processing and machine learning to find relevant information from large amounts of unstructured data, basically written in text, rather than neatly situated in the rows and columns of a database.

That when clients hear so much about AI systems, and see their own companies using machine learning and NLP elsewhere in the business, then it's hard for them not to wonder what's going on and ask their advisers about it as well.

The system uses machine learning to help companies match invoices to payments received in real - time, reducing the need for manual work.

This does indeed look like a very positive step as the reality is that not having the time to contribute to innovation, especially in areas such as machine learning training for NLP systems, is a key reason why new tech doesn't get adopted or why piloted tech never gets fully used.

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.

The dual - camera system provides 2x optical zoom, and uses a combination of parallax effect and machine - learning to separate the foreground from the background to simulate shallow depth of field.

Currently, ORI is partnering with researchers and institutes globally to move forward the research and the challenges that come with the use of machine learning and robotic systems in various systems.

He's not against A.I. in general, with Tesla using machine learning to develop an autonomous driving system, but in November 2017 he evoked Nate Dogg and Warren G in a call to «regulate.»