Examples of using Deep-learning in English and their translations into Slovak
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Instead, they may only need a handful of Cerebras chips for their deep-learning needs.
Onboard deep-learning processors could make better decisions, but only if they don't use too much power.
Another micromote they presented at ISSCC incorporates a deep-learning processor that can operate a neural network while using just 288 microwatts.
Using deep-learning techniques, the system can also provide a“sentiment score” for specific five-second intervals within a conversation.
Once an artist adds a paint stroke in a specific color, a deep-learning model trained on a million images fills in the texture and lighting detail.
People also translate
Highlights the significance of European initiatives on cloud computing and high-performance computing,which will further enhance the development of deep-learning algorithms and the processing of big data;
Researchers have created a deep-learning system that can teach a robot simply by observing a human's actions.
The TV will understand spoken natural language andquickly search for content, and with deep-learning technology, they will continue to learn over time.
Google Cloud Video Intelligence uses deep-learning models, based on its existing Tensorflow frameworks, to analyze videos and tag them depending on the specific content they contain.
Vast majority of AI's applications today are based on the category of algorithms known as deep learning;it is this class of deep-learning algorithms find patterns in data.
While deep-learning has propelled much progress in object recognition and scene understanding, predicting human memory has often been viewed as a higher-level cognitive process that computer scientists will never be able to tackle,” says another member of the team, Aude Oliva.
The first case might occur, for example, if a deep-learning algorithm is fed more photos of light-skinned faces than dark-skinned faces.
NVIDIA, the Massachusetts Institute of Technology andAalto University researchers in a spectacular video show how deep-learning algorithm can perform professional-level imaging.
Bias can creep in at many stages of the deep-learning process, and the standard practices in computer science aren't designed to detect it.
However, the CORRUX‘s contributionrefuted this stereotype by documenting that machine learning and deep-learning models already exist also in the construction industry.
DeepMind, Google's artificial-intelligence unit, has created a deep-learning system that analyzes someone's health records, including information such as vital signs and blood test results, and then predicts the chance of acute kidney injury(AKI).
Satellite images taken by the European Space Agency eachweek from May to October are fed into a deep-learning algorithm originally developed by the Tartu Observatory.
At a recent competition held at CERN,the world's biggest particle-physics laboratory, deep-learning algorithms did a better job of spotting the signatures of subatomic particles than the software written by physicists- even though the programmers who created these algorithms had no particular knowledge of physics.
Insists on the need to make better use of new technological approaches, based on increased computational power and better access to sizeable amounts of data,in order to foster the development of deep-learning neural networks which make HLTs a real solution to the problem of language barriers;
When a pedestrian enters that zone, custom-designed deep-learning algorithms analyze their motion path, determining within a second whether or not they intend to cross the road.
Insists on the necessity to make better use of new technological approaches, based on increased computational power and better access to sizeable amounts of data,fostering the development of deep-learning neural networks that are making Human Language Technologies a real solution to overcome language barriers;
Radar-Integrated Video Cameras: The integration of high-precision radar with deep-learning intelligent cameras enables long-distance detection under any weather condition.
Insists on the need to make better use of new technological approaches, based on increased computational power and better access to sizeable amounts of data,in order to foster the development of deep-learning neural networks which make human language technologies(HLTs) a real solution to the problem of language barriers;