Overcoming test data hurdles with realistic synthetic data Quality datasets are crucial for AI training, but the need to protect real-world data can slow development and implementation.

Current Behavior When running tests in my KMP library, Kotbase, often test tasks fail with a failure to write the test results to either XML or HTML (usually XML, unless disabled, then HTML fails).

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23andMe's Data Breach Settlement Could Net You Free Money: Here's How The clock is ticking and you've got less than 2 weeks left to file a claim and get part of the 23andMe class-action settlement.

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Binunya, F. and Zhou, H. (2025) Multilingual Text Recognition and Assistance for Low-Resource Languages Using Computer Vision. Open Access Library Journal, 12, 1-20. doi: 10.4236/oalib.1113574 .

With version control, access management, and workflow automation built in, these platforms streamline reviews, approvals, and ...

Seabed-origin oil spills pose distinct challenges in marine pollution management due to their complex transport dynamics and ...

Using the rule-based state machine and the stateful rule tree, the quantity of test data can be reduced. Experimental results indicate that our method can discover the same vulnerabilities as ...