Finally, annotations return to Google Analytics. Use them to capture business context, align teams and speed up your analysis. The post How to use GA4 annotations to add context and clarity to your ...

Python’s been the language of data science since before machine learning was trendy, and now you can use it for building AI ...

This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

DeepSeek can't generate images from a chatbot. To use DeepSeek to generate images, you will have to use Janus-Pro. Check this post to see how to do the same.

Tumor-infiltrating lymphocytes (TILs) play a crucial role in host antitumor processes. High level of TILs is associated with better outcomes for patients. We aim to automatically quantify TILs without ...

Understanding the significance of data annotation helps us appreciate the hidden work that powers the AI systems we use daily. As these technologies grow smarter, so will the labeling methods, making ...

Data annotation ensures AI models learn from structured and accurate datasets, improving their performance. It helps tailor AI to specific use cases, enhances data quality, and supports complex tasks ...

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In recent years, the technique of search-based image annotation on a large-scale data set has demonstrated great success. Rather than directly mapping visual features to texts which is inevitably ...

As AI evolves, data annotation—or the work done by humans to train AI—has emerged as a potential way to make money.