Physics-Informed Neural Networks: The Case for Small Architectures

Physics-Informed Neural Networks (PINNs) are often significantly overparameterized in research settings. Senior developer Ahmad Wael critiques this trend, showing that for low-frequency PDEs like Burgers’ equation or hyperelasticity, networks can be reduced by up to 400x without losing accuracy. Learn to build leaner, more efficient ML architectures by starting small.

WordPress AI Guidelines: Why Code Quality Still Trumps Speed

The Make WordPress team has released the official WordPress AI Guidelines to combat “AI slop” and ensure core contributions remain high-quality. These guidelines focus on five core principles: human responsibility, transparency in disclosure, GPLv2 licensing compatibility, and prioritizing maintainable code over automated volume. Learn why human oversight is still non-negotiable for WordPress developers.

Data Science as Engineering: Foundations and Identity

Data science is facing an identity crisis. By shifting toward an engineering-first mindset, we move from theoretical “science projects” to robust, maintainable production systems. Learn why treating Data Science as Engineering is essential for modern software development, featuring practical WordPress implementation strategies and senior-level insights.