ISO 27001:2013 specifies the requirements for establishing, implementing, maintaining and continually improving an information security management system within the context of the organization.
AI enterprise application in China will usher in an explosive breakthrough in the future.
Data labeling is a key part of artificial intelligence. The way for labeling will largely determine the accuracy and speed of AI algorithm.
Data annotation is one of the most critical steps in developing an AI-based product. If the training data is bad, your AI product is almost guaranteed to fail – garbage in, garbage out.
The incentives only get bigger for those looking to roll out AI-powered innovation into new areas of industry, fields of science, and our day-to-day lives. Here are the 10 trends you need to know about Artificial Intelligence and how AI will impact every aspect of our lives and businesses in the coming decade.
Making everything more efficient should make everybody happier
“Garbage in, garbage out”
Data Annotation Tool Analysis – How to Use LabelMe