5 applications of generative adversarial networks
Generative adversarial networks are a type of neural network that can generate new images from a given set of images that are similar to the given dataset, yet individually different….
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Insights on AI, machine learning, computer vision, and enterprise technology.
Taking transportation and logistics to new places with RPA
Transportation is an important aspect of many industries such as construction, clothing, food, and manufacturing. Managers need to actively track products right from their origin to their final destination. They…
Exploring Named Entity Recognition use cases across industries
Information extraction is the process of extracting structured information from semi-structured or unstructured data automatically. In most cases, information extraction involves processing human language in unstructured data so that machines…
5 deep learning challenges businesses should be aware of
Deep learning is everywhere. From your Google voice assistant to your ‘Netflix and chill’ recommendations to the very humble Grammarly — they’re all powered by deep learning. Deep learning has…
Can AI revolutionize quality assurance?
Quality assurance is a major area of concern for many enterprises spread across various industries. Quality assurance is necessary as it helps businesses meet their clients’ demands, helping build trust…
Everything you need to know about adaptive resonance theory
Suppose you grew up in one town and moved to another for several years, and now you have to move back. The streets and avenues of that town would have…
How product recommendation systems can benefit businesses
A product recommendation system is a subclass of information filtering that uses machine learning to provide personalized recommendations to consumers based on their data. For instance, they can provide appropriate…