What is training data? How is it different from learning data? How much do you need? We explain how to create it in-house or outsource it, and what to be careful of when collecting it! January 19, 2026
A summary of the latest examples of companies using generative AI! A thorough explanation of the benefits and implementation methods. January 19, 2026
What is AI-based character recognition (AI-OCR)? A thorough explanation of the process, advantages, disadvantages, and key points to consider when implementing it! January 19, 2026
A thorough explanation of how to collect data for machine learning! The steps to building a dataset and the benefits of outsourcing January 16, 2026
How does object detection work? A thorough explanation of the amount of data required, use cases, and construction steps! January 16, 2026
What is a bounding box? How is it used in YOLO? A thorough explanation of the advantages and disadvantages of object detection methods January 16, 2026
What is semantic segmentation? Explaining types, methods, and image processing application examples! January 16, 2026
What is image recognition? Types, mechanisms, AI development processes, case studies and key considerations. January 16, 2026
The importance of establishing annotation rules: Introduction to examples and key points January 16, 2026
What is annotation? Why is it necessary for AI use? Explaining the process and work involved January 16, 2026