PINNs
Beyond Market Intelligence keeps PINNs in one place: 2 stories so far. The section currently leads with “Explore physics-informed neural networks without writing a single line of code.” and “From Photonics to AI: Transforming Your PhD into an ML Career”. PINNStudio starts from a familiar pain: a researcher who knows the physics but is buried in boilerplate code. A Ph.D. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every PINNs story on Beyond Market Intelligence, newest first.
Explore physics-informed neural networks without writing a single line of code.
PINNStudio starts from a familiar pain: a researcher who knows the physics but is buried in boilerplate code. Every new PDE problem meant rewriting scripts, debugging, and plotting by hand. That frustration produced a free, open-source no-code GUI that lets you define equations, domains, and architectures through an interface, then auto-generates the DeepXDE code and streams live loss curves and solution plots. It's a practical bridge for students and seasoned users alike, built to keep the focus on science.
From Photonics to AI: Transforming Your PhD into an ML Career
A Ph.D. in quantum optics who wins coding competitions and has already applied ML to grating design and qubit control is not a stretch candidate. That is a portfolio. The question is not whether the transition is reasonable, but how quickly you can reframe your existing work as ML engineering. It is clearly reasonable. Your background is more aligned than you might think. For those seeking direction, our guide on distributed algorithms offers a practical next step to round out your skillset.