Purpose: Is used to train the machine learning model. Function: Think of it as the study material for the model. It provides examples and patterns for the model to learn from and build its internal ...

AI systems are increasingly being integrated into safety- and mission-critical applications ranging from automotive to health care and industrial IoT, stepping up the need for training data that is ...

AI is upending the way robots learn, leaving companies and researchers with a need for more data. Getting it means wrestling with a host of ethical and legal questions. Since ChatGPT was released, we ...

Big data with encrypted computer code. Safe your data. Cyber internet security and privacy concept. Data is at the heart of today's advanced AI systems, but it's costing more and more -- making it out ...

Simple annotation work is no longer enough for advanced AI, says Turing's CEO, who says models need complex, real-world data.

As companies collect more data than ever before, the need for professionals who can make sense of business data is growing too. Managing complex, growing datasets makes data literacy knowledge ...

The Internet is a vast ocean of human knowledge, but it isn’t infinite. And artificial intelligence (AI) researchers have nearly sucked it dry. The past decade of explosive improvement in AI has been ...

Artificial intelligence (AI) applications are data-intensive by nature, requiring vast amounts of data during development and training stages, followed by efficient storage solutions for long-term ...