What is the difference between AI, Machine Learning, NLP, and Deep Learning? This question was originally answered on Quora by Dmitriy Genzel.

The use of NLP text-mining tools is essential for organizations seeking to jumpstart their machine-learning process and minimize the need for manual data coding.

As a result, NLP greatly extends the capabilities and effectiveness of machine learning. The Deepfake Challenge Then, there is the “most entertaining” fraud of them all: deepfakes.

To show how ML and NLP are spreading across the industry, WatersTechnology highlights 20 stories from the last 12 months that feature unique uses of AI.

The process used to build most of the machine-learning models we use today can't tell if they will work in the real world or not—and that’s a problem.

Top 25 Machine Learning Startups To Watch In 2021 Augury – Augury combines real-time monitoring data from production machinery with AI and machine learning algorithms to determine machine health ...

Subtle signs of Alzheimer's disease can emerge decades before a diagnosis—often in the form of irregular behaviors that reflect very early stages of brain dysfunction. But until now, identifying ...

The implications of this are wide and varied, and data scientists are coming up with new use cases for machine learning every day, but these are some of the top, most interesting use cases ...

Machine learning has a problem with data mismanagement and a culture where anything goes, according to a recent AI research survey.