Results: The systematic synthesis revealed that 1) generative AI-chatbot interventions mostly took place in non-WEIRD countries (Western, Educated, Industrialized, Rich, and Democratic) and 2) there ...

The software industry is racing to write code with artificial intelligence. It is struggling, badly, to make sure that code holds up once it ships. A survey of 200 senior site-reliability and DevOps ...

Dr. Wassnaa Al-Mawee developed an AI-driven learning model to help students develop analytical thinking. KALAMAZOO, Mich.—As educators grapple with the implications of using artificial intelligence ...

As AI agents transition from simple chatbots to autonomous systems capable of managing cloud incidents, navigating complex web interfaces, and executing multi-step API workflows, a new challenge has ...

I’m retired now, but for 30 years I debugged problems in bleeding-edge IBM processors, horizontal microcode, firmware, software and hardware. Then for another nine years I debugged problems in ...

Abstract: This paper presents a comprehensive comparative analysis of three distinct prompt engineering strategies—Zero-Shot, Few-Shot, and Chain-of-Thought—for Python code debugging applications ...

Researchers at UCSD and Columbia University published “ChipBench: A Next-Step Benchmark for Evaluating LLM Performance in AI-Aided Chip Design.” “While Large Language Models (LLMs) show significant ...

A Florida python hunter captured a 202-pound female Burmese python in the Everglades. The captured snake is the second heaviest on record in Florida, measuring 16 feet, 10 inches long. Burmese pythons ...

In the early days of computing, Admiral Grace Hopper famously removed an actual moth from a malfunctioning Harvard Mark II computer, coining the term “debugging.” Today, as organizations race to ...

The native just-in-time compiler in Python 3.15 can speed up code by as much as 20% or more, although it’s still experimental. JITing, or “just-in-time” compilation, can make relatively slow ...

Abstract: Large language models (LLMs) have shown promising code generation capabilities; however, they still face challenges in generating successful code for non-trivial programming tasks. To ...