Examples of using Self-learning algorithms in English and their translations into German
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Self-learning algorithms for recognizing patterns and objects.
Continuous development and improvement of the bots due to self-learning algorithms and cognitive services.
The app uses self-learning algorithms to curate data corresponding to users' interests.
By continously, scene-based planning and decision and self-learning algorithms you achieve highest agility.
Self-learning algorithms are already generating profit from the flood of data in the automotive industry.
Ultra-cold atoms or superheated matter, self-learning algorithms or the circulation of brain fluid in humans.
The self-learning algorithms will ensure that recognition rates automatically increase with each new case.
Data scientists and developers build predictive models with self-learning algorithms, based on relevant data to your business.
I believe that self-learning algorithms will be an integral part of every SKIDATA product in the future.
Data scientists and developers build predictive models with self-learning algorithms, based on relevant data to your business.
Intelligent, self-learning algorithms analyze the behavior of each individual user and react in real time.
OptiHeat develops a smart controller with a cloud platform of self-learning algorithms that optimize the workflow of heat pumps.
They view self-learning algorithms as a black box and are reluctant to put the suggestions into practice during treatment.
Great expectations are being placed especially in the self-learning algorithms to reduce complexity or to generate predictability analyses.
Self-learning algorithms(AI) continuously optimize and improve the results, even in parts of the company.
What we see now is that not only perceptions can be measured,but we can also measure better and better by means of self-learning algorithms.
The system is based on self-learning algorithms incorporating historic production data.
In"The World Without Us" humans will be replaced by machines, Artificial Intelligenceswill be optimized by other AIs and algorithms will be programmed by self-learning algorithms.
In this case, self-learning algorithms support quality control and deliver forecasts for predictive machine maintenance.
GetBucks has developed unique credit-scoring technology with self-learning algorithms that allow the company to keep a default rate below 8.
Intelligent, self-learning algorithms analyze the behavior of every individual user and react automatically in real time.
A combination of statistics, risk models,big data analysis and self-learning algorithms enables nimbusec to detect defacements.
Self-learning algorithms enable the machine to solve even complex non-linear problems by itself, and to interact without instructions.
With the modelling function, you can forecast your energy consumption andassociated costs based on historical data and self-learning algorithms and thus simulate savings.
Self-learning algorithms are no longer programmed from A to Z, but they virtually learn from practice, just like children learn something.
In fact, without sufficient data and self-learning algorithms, a chatbot cannot engage in serious interaction with a human counterpart.
Self-learning algorithms can reduce stock loss and maintenance costs by predictive maintenance approaches and integration into business processes.
The system is based on intelligent, self-learning algorithms that analyze the purchasing behavior of each individual customer, responding individually in real time.
Big data and self-learning algorithms could help producers to gain a better understanding of the complex events in the poultry farm and these can be linked with concepts for sustainable animal nutrition.
Adaptive Memory technology is a set of self-learning algorithms that monitors data usage and constantly places the most frequently used and important data into the high-speed NAND flash memory.