Trigent

FEBRUARY 11, 2022

Conversational AI is an interesting blend of tech Natural Language Processing (NLP), machine learning (ML), deep learning, contextual awareness, and Art. The AI element (especially in voice bots) aims to ‘understand’ unspoken emotions and customize the menu’s responses to ensure a more meaningful experience.

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Cloudera

SEPTEMBER 20, 2022

A “comic book” in this context is a story told visually through a series of images, and optionally (though often) in conjunction with written language, e.g., in speech bubbles or as captions. Deep learning models are data hungry, and state-of-the-art systems like DALL·E 2 are trained with massive data sets of images scraped from the internet.

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TechCrunch

DECEMBER 10, 2020

based AI startup that has developed speech technology that translates people’s voices into other languages and is already being used in the video and television industry, has raised £8 million in funding. Papercup , the U.K.-based To do that, he says that Papercup will need to tackle four things. Morgan Freeman, but in German).

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Altexsoft

NOVEMBER 1, 2023

Such complexities underscore the need for robust named entity recognition or NER — a mechanism by which we teach machines to understand various linguistic nuances. This article explains what named entity recognition is, its working principles, and how it is used in real life. What is Named Entity Recognition (NER)? POS tagging.

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John Snow Labs

JUNE 2, 2023

Spark NLP’s deep learning models have achieved state-of-the-art results on sentiment analysis tasks, thanks to their ability to automatically learn features and representations from raw text data. There are separate blog posts for the rule-based systems and for statistical methods.

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Altexsoft

DECEMBER 21, 2021

When people hear about artificial intelligence, deep learning, and machine learning , many think of movie-like robots that resemble or even outperform human intelligence. Others believe that such machines simply consume information and learn from it by themselves. Well… It’s kind of far from the truth.

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Openxcell

JUNE 17, 2022

They learn and make decisions much as humans do. Artificial intelligence helps machines observe, evaluate, and learn from data & errors as a human brain does. Some need massive data, machine learning, or natural language processing. Artificial intelligence interacts with human emotions and ideas. Theory of Mind.

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Altexsoft

DECEMBER 14, 2020

The technologies and tools for unstructured data incorporate both natural language processing and machine learning algorithms. Therefore, they require a certain level of expertise in data science and machine learning to conduct deep data analysis. Sound recognition. Image recognition. Data teams to handle data.

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Altexsoft

OCTOBER 31, 2019

While learning by example comes naturally for us, humans, it’s not that easy for machines and software applications. To know how to recognize at least one object, they must learn about its distinguishing features from a ton of its images made from various angles. What is image recognition and computer vision?

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Altexsoft

MAY 12, 2023

However, it may require more effort to learn than other solutions. If you require more advanced unstructured data analytics, there are different machine learning techniques out there to keep an eye on. Image recognition identifies objects, people, and scenes within images.

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