Most of the public conversation regarding the use of AI-driven autonomous lethal weapons centers on how much humans should ...

Young, T. , Guymon, J. , Pankow, M. and Ngaile, G. (2026) A Material Removal Prediction Framework for Ball EEM Polishing in ...

Productivity – An accelerated end-to-end path from high-level quantum modeling in Classiq, to hybrid execution using NVIDIA CUDA-Q. This will accelerate the path to value for customers of all types.

Building self-improving AI skills in Claude Code involves using an autonomous iterative loop to refine performance over time. Simon Scrapes introduces this concept through the lens of Andrej ...

When Chinese humanoid robots flipped, sparred, and performed martial arts alongside human performers – including children – on national television during the Spring Festival Gala, it was easy to ...

Cybersecurity has always been adversarial. Defenders build controls, attackers find ways around them, and the cycle repeats. But artificial intelligence has fundamentally altered this dynamic. Today’s ...

Most people quit after a single AI output and blame the tool, but AI isn’t built to deliver perfect results on the first try. The real value of AI technology emerges through iteration. Vague prompts ...

Ralph is a development methodology based on continuous AI agent loops. As Geoffrey Huntley describes it: "Ralph is a Bash loop" - a simple while true that repeatedly feeds an AI agent a prompt, ...

Abstract: In the field of robotics, particularly in human–robot interaction, rapid and precise torque control is crucial. This study presents a closed-loop iterative optimized (CIO) approach designed ...

Large language models (LLMs) are powerful assistants, but they can also be manipulated to bypass safety guardrails. Attackers may craft "trick instructions" designed to make an AI ignore its own rules ...