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

Overview Python remains one of the most widely used languages in robotics, thanks to its readability, extensive libraries, ...

Python''s popularity is surging. In 2025, it achieved a record 26.14% TIOBE index rating, the highest any language has ever ...

An AI-powered penetration testing tool is automating offensive cybersecurity, accelerating vulnerability discovery and ...

Python gives you far more control, and the ecosystem is stacked with libraries that can replace most no-code platforms if you ...

Metal-organic frameworks have large internal surface areas, making them useful in a range of applications from engineering to health care. (cr: image created using ChatGPT) This year the Nobel Prize ...

In the rapidly changing world of software development, selecting the perfect testing tool is as vital as crafting well. With so many choices lying at hand, one tool that is capable of withstanding ...

Abstract: Python's dynamic typing system offers flexibility and expressiveness but can lead to type-related errors, prompting the need for automated type inference to enhance type hinting. While ...

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: Software testing is a crucial phase in the software development lifecycle, yet it often becomes a challenging task for engineers who must ensure comprehensive test coverage. While python ...

The 2025 Nobel Prize in Chemistry has been awarded to Richard Robson, Susumu Kitagawa, and Omar M. Yaghi for their groundbreaking work in the design and synthesis of metal-organic frameworks, or MOFs.