Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...
Self-healing tests became the QA industry's biggest bet in 2025. Vendors claim AI can fix broken automation overnight. Engineering teams are burning budgets on tools that supposedly eliminate ...
When the College Board canceled SAT testing in 2020, hundreds of colleges adopted test-optional admissions policies that fall. The Urban Institute reported that the number of four-year colleges and ...
1 China Southern Power Grid Guizhou Power Supply Co., Ltd, Guangzhou, Guizhou, China 2 Dongfang Electronics Co., Ltd, Yantai, Shandong, China A data-driven framework was proposed in this paper to ...
The developers of Terminal-Bench, a benchmark suite for evaluating the performance of autonomous AI agents on real-world terminal-based tasks, have released version 2.0 alongside Harbor, a new ...
Now that OCIO 2.5 supports Vulkan, it would be great to test that in GitHub Actions. This would probably consist of several tasks, which could potentially be done by different people: Add to libutils ...
Cold functional tests have been completed at unit 2 of the San'ao nuclear power plant in China's Zhejiang province, China General Nuclear has announced. The unit is the second of six HPR1000s (Hualong ...
Abstract: Test case generation is a critical research topic in the field of automated software engineering. In recent years, with the rapid advancement of large language models (LLMs) such as the GPT ...
Integration Testing is the (usually black-box) testing of the application as a whole. We do a pretty good job for integration testing, using a TCL framework. Though there are other options for ...
Tests that simulate the temperatures and pressures which the reactor systems will be subjected to during normal operation have been completed at unit 2 of the Taipingling nuclear power plant. The unit ...
A/B testing is a powerful tool for optimizing SEO strategies, and this article brings you real-world examples and results. Drawing from the expertise of seasoned professionals, these insights offer ...
Large Language Models (LLMs) have shown substantial improvements in reasoning and precision through reinforcement learning (RL) and test-time scaling techniques. Despite outperforming traditional unit ...
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