Evolving Hardware Languages In The Age Of AI And LLMs

This is not about replacing Verilog. It’s about evolving the hardware development stack so engineers can operate at the level of intent, not just implementation.
IEEE

Automatic programming via large language models with population self-evolution for dynamic fuzzy job shop scheduling problem

Abstract: Heuristic dispatching rules (HDRs) are widely used for solving the dynamic fuzzy job shop scheduling problem (DFJSSP). However, their performance is highly sensitive to specific scenarios ...
InfoWorld

19 large language models for safety or danger

Here’s a quick look at 19 LLMs that represent the state-of-the-art in large language model design and AI safety—whether your goal is finding a model that provides the highest possible guardrails or ...
InfoQ

GitHub Data Shows AI Tools Creating "Convenience Loops" That Reshape Developer Language Choices

GitHub’s Octoverse 2025 report reveals a "convenience loop" where AI coding assistants drive language choice. TypeScript’s 66% surge to the #1 spot highlights a shift toward static typing, as types ...
IEEE

Methods for Estimating Programming Logics Using Machine Learning that Adopts Syntax Trees as Training Data

Abstract: Opportunities for conducting programming education have been increasing, and as such, the demand for its assistance is growing. In order to effectively instruct learners in programming ...