Sentences with phrase «for machine learning tasks»

Graphics are 30 % faster over the A10 and its designed for machine learning tasks.

The GPU is for 3D apps and games and is also built for machine learning tasks.

Not exact matches

That machine learning — the ability for computers to learn to recognize things or complete tasks without specific programming allowing them to do so — is a transformative technology is generally accepted.

According to a report on disruptive technologies from the McKinsey Global Institute, advances in artificial intelligence, machine learning and user interfaces like voice recognition are automating knowledge - worker tasks once deemed impossible for machines to tackle.

With the incorporation of artificial intelligence (AI), bots are no longer one dimensional search tools, they are dynamic machines that can query information, learn your behaviors, anticipate problems, and organize tasks for their human counterparts.

The stage that we are at the moment is that there needs to be a mixture of tasks completed by people and the rest by machine learning, but Sutton explored how the number of people required to fulfil the function of the middle and back office will eliminate the need for people.

But while machine learning theorists have made progress in teaching computers to perform specific tasks within a strict set of parameters — such as how to parallel park a car or plumb encyclopedias for answers to trivia questions — their programs don't enable computers to generalize in an open - ended way.

The I - Pace is also filled with the latest driving tech that incorporates artificial intelligence machine learning to automate certain tasks to reduce the number of possible distractions for the driver, including features like an available head - up display and a navigation system that can suggest routes closer to charging stations and parking garages.

Their detailed examination also let see that, on one hand, changes will be especially important in routine work, but, on the other hand, much more limited for complex legal tasks because of the machine learning - based approaches difficulties in processing situations outside the training set on which they learn.

In summary, the consensus from the panel was that AI solutions will need training for tasks that are not already «machine - learned» and this to some extent connected to all three of the above points.

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.

Other examples of potential machine learning applications include: the discovery and identification of «non-obvious relationships» within large document collections extracting «subtle but useful patterns that can be employed to automate certain complex tasks»; analysing contracts for both structural aspects and potential correlations **; using automated document clustering techniques to assist in finding «prior art» in patent law cases to determine whether a patent application is new or not.

Surden does identify a number of limitations with these automated approaches, but he concludes that machine learning can be applied to «certain typical «easy - cases» so that the attorney's cognitive efforts and time can be conserved for those tasks likely to actually require higher - order legal skills.»

However, by applying «machine learning» — the ability for software to train itself without being programmed — to the review of contracts and other legal tasks, teams can save time that is better used elsewhere.

The ultimate goal is for the robot to use machine learning and computer vision to scan its surrounding environment and identify tasks it could help with.

(The technical name for this is TensorFlow Lite, which puts machine learning tasks on the phone, so the device can instantly take care of the job in real time, rather than ping the cloud and wait for a response.)

Therrien told reporters that «in the world of new technology,» enforcing consent is a difficult task, because the ways in which modern companies utilize user data — for big data, machine learning or artificial intelligence — doesn't lend itself to asking individual users for consent.

Qualcomm is already targeting these components for power efficient use with machine learning, image processing, and data crunching tasks.

The Storm Market platform also will include two new categories: Storm Shop, a category that allows shoppers to earn cryptocurrency rewards for everyday purchases, and Storm Gigs, which leverages the gig economy by rewarding users with cryptocurrency for completing specific tasks such as QA Testing and Machine Learning tasks.

Microsoft's new AI platform, Windows ML, will allow Windows 10 developers to easily incorporate machine learning tasks for their apps.

The latest update for Pixel Visual Core improvements bring more efficient HDR + image processing and other machine learning tasks.

The API, says Google, is one of many machine - learning models that is pre-trained and up for the task of, in this case, turning speech into written words.

There's no doubt Huawei will be talking up the AI potential of the new P20, P20 Plus and P20 Lite too — the Kirin 970 is specially engineered to better deal with the kind of machine learning tasks required for mobile AI.

Combining these accelerators with an expansive library of processor instructions (think of these as training manuals for CPUs that let them specialize in specific tasks like machine learning), ARM is claiming that Dynamiq will deliver a 50 times increase in «AI - related performance» over the next three to five years.

But, Dynamiq goes beyond offering just additional flexibility, and will also let chip makers optimize their silicon for tasks like machine learning.