Sentences with phrase «machine learning involves»

AI or machine learning involves a training model, developing and then running it and showing results.»

Machine learning involves training a computer to recognise patterns in data, and is central to many algorithms that drive Google's services.

Machine learning involves programming computers to learn on their own using actual data from the real world.

Not exact matches

The collaboration will involve creating machine learning methods which can analyze mountains of existing type 1 diabetes research in order to figure out risk factors and, hopefully, effective prevention measures.

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.

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.

I've been asked to talk today about the future of Innovation — typically that involves giving you a list of hot technologies to pay attention to — technologies like machine learning.

As we noted in a previous report, China recently announced a massive AI - driven initiative in the form of a massive 54.87 - hectare, 13.8 billion yuan ($ 2.1 billion) technopark in Beijing that would house companies directly involved in the development of AI technologies and machine learning.

«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.

It's obviously a tremendous awareness - raising exercise for the institutions involved, sprinkling a bit of West End glitter on the field of machine learning.

Using machine learning algorithms, they identified which parts of the data seemed to be the timing control signal between the prefrontal cortex and the amygdala and zeroed in on the individual neurons involved in that circuit.

Many machine - learning algorithms develop deliberative processes that involve so many thousands of complex steps that they're impossible for people to review.

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.

The process often involves machine learning.

«We'll also be involved in the analysis of these data, as well as data from similar detectors, employing advanced techniques such as machine learning.

«The fact that their machine - learning approach has such high specificity and sensitivity and is useful at the level of an individual child is truly impressive,» says Charles Nelson, professor of pediatrics and neuroscience at Harvard University, who was not involved in the study.

Although current estimates of the intellectual power of most computers puts them on a par with insects, Warwick said research involving robots was close to producing a machine with exploratory, puppy - like behaviour that could pass on what it had learnt to its «siblings».

The method they used is known as deep learning, a type of machine learning that involves algorithms that can analyze data, recognize patterns, and make predictions.

These classifications are based on large amounts of data inclusing clinical data, somatic mutations, gene and alternative transcript expression, or structural DNA modification, and involve high - dimensional statistical machine learning techniques.

U.D.R. is a PTF builder, involved with machine - learning development.

I learned early on from my mentors in the iron game, Donne Hale, Chuck Sipes and Peary Rader that free weights involve the little nuances of timing, balance and coordination, something that machines don't offer.

The site offers seven engineering challenges that involve simple machines, communications skills, integration of technology into the curriculum, and collaborative learning.

Many Machine Learning tasks involve behind the scenes work that are tedious and time - consuming, but crucial nonetheless.

Effectively applying AI involves extensive manual effort to develop and tune many different types of machine learning and deep learning algorithms (e.g. automatic speech recognition, natural language understanding, image classification), collect and clean the training data, and train and tune the machine learning models.

In the last three years, I have been working as a contractor on a DARPA R&D contract involving web crawling, dark web, and machine learning.

The first few times you fight a new machine will involve a steep learning curve, and failure remains a very real possibility even after you feel like you've mastered a particular kind of foe.

During the workshop I will be doing an insight into an ongoing research for the Content Aware Studies Project involving machine learning.

He's also involved with an initiative called Houston.AI which began with the realization that emerging technologies, based on artificial intelligence and machine learning, had tremendous potential to improve access to legal services.

And, while Magnum is not an NLP - led platform, once the industry has litigation lawyers working primarily off digital sets of documents then it opens up interesting possibilities to use machine learning technology to improve the lives of solicitors, barristers and judges involved in disputes and to deliver new and valuable legal and / or economic insights.

Diligent case preparation, without question, involves thorough research of pertinent case law and legislation, but with advancing resources such as artificial intelligence, machine learning, and content tagging, the pragmatism of preparation becomes much more time efficient.

Relevant issues around perennial tax concerns and the classification of contractor versus employee can involve machine learning synthesis of case law, regulatory frameworks and annotated bodies of work on the subject.

The fourth stage involves «machine - learning» which requires experts in the field to train Watson by uploading question - answer pairs.

At the most basic level, predictive coding is a «machine learning» process that involves using software to take information entered by people and applying that logic to much larger data sets.

The company has stressed that its philosophy is based around improved design thinking in terms of contracting, using tech tools such as machine learning to make that process better for all involved.

First, language tends to be a big factor in legal tech products, especially those that involve AI and machine learning.

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.

An organization that develops models and standards for electronic discovery has set its sights on developing guidance on technology assisted review (TAR)-- a process that involves using machine learning models to help classify documents.

This type of machine learning doesn't involve labels whatsoever.

The software will allow faster machine learning as it will place more processing speed on procedures, which involves analysis of big data, voice recognition, and photo identification.

But in the real world, AI involves machine learning, deep learning, and many other programmable capabilities that we're just beginning to explore.

Using Halide for the actual image processing and TensorFlow for the machine learning components themselves, Google has built its own software compiler that can optimize the finished production code into software built specifically for the hardware involved.

Google has a ton of experience when it comes to natural language processing and machine learning as well as software that involves voice control, thanks to decades of building out its search capabilities.

Huawei is pushing hard on AI, even with smartphone photography as the image processing involves a lot of machine learning behind the scenes resulting in clearer, sharper and ultimately better.

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...

As an Intern, if selected, I shall initiate involving with others in the department, help them and also learn various aspects of machine operation to become a dependable machine operator.