When I visit with non-IT corporate executives and ask them about artificial intelligence (AI), machine learning (ML) and natural language processing (NLP), they tell me that they have initiatives ...

In my previous article for the Forbes Technology Council, I argued that the rise of large language models (LLMs) and deep learning would be a renaissance for natural language processing (NLP), and I ...

Deep learning has yielded some fantastic results for basic natural language processing (NLP) functions such as named entity recognition (NER), document classification and sentiment analysis — not to ...

Natural language processing (NLP) is the ability of a computer program to understand human language as it's spoken and written -- referred to as natural language. It's a component of AI. Computers ...

AI is a rapidly evolving field that has the potential to impact almost all aspects of life and society. In this article, AI refers to all levels of artificial intelligence, including Narrow AI, ...

Just 10 years ago, most application development testing strategies focused on unit testing for validating business logic, manual test cases to certify user experiences, and separate load testing ...

The course explores a breadth of Natural Language Processing (NLP) applications with a focus on contemporary, state-of-the-art systems, often based on deep learning techniques. Topics include word ...

Humans want to speak to machines the same way they speak to each other -- in natural language, not the language of machines. The field of natural language processing in computing emerged to provide a ...

Learn the basics about natural language processing, a cross-discipline approach to making computers hear, process, understand, and duplicate human speech. It wasn’t too long ago that talking to a ...