Tasking, provider of embedded software development tools, announced enhancements to the Tasking toolchain that enable seamless integration of AI in the software development and verification workflows.

Using an AI coding assistant to migrate an application from one programming language to another wasn’t as easy as it looked. Here are three takeaways.

The TASKING toolchain now supports agentic AI workflows that allow OEMs and Tier 1 suppliers to further optimize the entire software development lifecycle of functionally safe and secure systems TASKI ...

AI safety tests found to rely on 'obvious' trigger words; with easy rephrasing, models labeled 'reasonably safe' suddenly fail, with attacks succeeding up to 98% of the time. New corporate research ...

Teach an AI agent how to fish for information and it can feed itself with data. Tell an AI agent to figure things out on its own and it may make things worse. AI agents are machine learning models ...

Why this structure? The code is organized by ML responsibility: data/ handles ingestion, models/ handles XGBoost operations, evaluation/ handles metrics, and training/ contains the iterative loop ...

A new study finds vibe coding improves when humans give the instructions, but declines when AI does, with the best hybrid setup keeping humans foremost, with AI as an arbiter or judge. New research ...

Abstract: An incremental iterative Q-learning algorithm (IIQLA) is proposed to tackle the optimal secure control problem for cyber-physical systems under false data injection attacks. Within a ...

Abstract: To achieve the phase-only polarization pattern synthesis, this letter applies iterative convex optimization to address the nonconvex constant modulus constraint. By maximizing an objective ...