Приклади вживання Visual data Англійська мовою та їх переклад на Українською
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Visual data, the things we see people doing, the environments they live in, the interactions between people and groups.
Block 7. Use of R language for visual data analysis.
A database of visual data allows you to send, comment on and search for images.
The GPU is responsible for processing the visual data that is seen on the monitor.
In 2019, visual data and artificial intelligence will provide a more valuable and personalized experience in communications.
Her next search of the universe shifted to visual data rather than radio signals.
Modern machine learning algorithms(such as e.g. neural networks)can be used to conduct a high-quality analysis of visual data.
Sophia uses artificial intelligence, visual data processing and facial recognition and can hold simple conversations on pre-defined topics.
It turned out that children's eyes"run" very often,and their young minds process large amounts of visual data, and very quickly.
The visual data obtained entailed the storage and processing of personal data, closely linked to the private sphere of individuals.
Psychologists believe this 40-millisecond delay occurs while the brain translates the visual data into aural sounds it can understand.
The Court also observes that the visual data obtained entailed the storage and processing of personal data, closely linked to the private sphere of individuals.
The T-Pod is level 4 autonomous,the second highest category, and uses a Nvidia Drive platform to process visual data in real time.
This may be because the brain compensates for visual data it is not receiving by creating fantasy images, often images from memory.
Join us for a complimentary webinar covering the power of observation, how to observe in context with research,and steps to analyze and make meaning from visual data.
An initial customization of visual data and information to key user requirements will help improve usability and eliminate the need for different user personas.
Outfitted with a 360-degree laser, radar and cameras, the Google Self-Driving LexusRX 450H collects an incredible amount of visual data- a reported 1GB of data per second.
Our brains process visual data 60,000 times faster than text, and that should be enough to convince you that visuals can greatly improve your social media campaign.
The new generation of robotic applications strongly depend on the ability to acquire, organize,and interpret surrounding visual data in real-time in order to stay aware of the environmental situation and act adequately.
In order to implement snapshot processing the visual data of the new camera Nanyang technological University writes changes between the intensity of illumination of the individual pixels of your sensor that reduces the output data. .
While each of these stream processors doesn't have near as much computing performance as a CPU core,they work together to process visual data much more efficiently, allowing for significantly improved graphical performance.
Some of these new technologies- the ability to interpret visual data, develop algorithms to write or interpret news, and collect and analyze increasing amounts of data- will allow journalists“to do richer, deeper reporting, fact checking and editing.
All equipment will be electronically stabilized, and observation and sighting systems will come with laser rangefinders,day-night cameras and third generation thermal imaging, with visual data displayed on a screen.
Capturing data in this way means that teams can use visual data to create analysis boards that go beyond articulated behavior, to take a more cultural view of observed behaviors.
ETL tools in most cases contain a GUI that helps users conveniently transform data, using a visual data mapper, as opposed to writing large programs to parse files and modify data types.
Capturing data in this way means that teams can use visual data to create analysis boards that go beyond articulated behavior, to take a more cultural view of observed behaviors.
ETL tools contain a GUI that helps users to transform data conveniently,using a visual data mapper, as opposed to writing large programs to parse files and modify data types.