Vulnerabilities in popular AI and ML Python libraries used in Hugging Face models with tens of millions of downloads allow ...

ENVIRONMENT: DESIGN cutting-edge software solutions while working on global projects for a provider of sustainable and cost-effective Solar Energy seeking to fill the role of an Intermediate Front End ...

Python''s popularity is surging. In 2025, it achieved a record 26.14% TIOBE index rating, the highest any language has ever reached, largely driven by AI and data trends. 58% of developers now use ...

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 ...

Agentic systems are stochastic, context-dependent, and policy-bounded. Conventional QA—unit tests, static prompts, or scalar “LLM-as-a-judge” scores—fails to expose multi-turn vulnerabilities and ...

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 ...

What if the programming language you rely on most is on the brink of a transformation? For millions of developers worldwide, Python is not just a tool, it’s a cornerstone of their craft, powering ...

Abstract: Presents a collection of slides covering the following topics: smart unit testing; unit test framework; unit test feature; sample unit test specification; model based testing; fault ...

Kairos Power has installed the reactor vessel for its third Engineering Test Unit, which is under construction in Oak Ridge, Tennessee. The non-nuclear prototype will be used to pilot new ...

Tests that simulate the temperatures and pressures which the reactor systems will be subjected to during normal operation have been completed at unit 1 of the San'ao nuclear power plant in China's ...

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 ...