As the Ψ-family has grown, a practical question has naturally appeared: with several related frameworks now available, which one should you actually use for a particular scientific or engineering problem? The answer is not simply to choose the newest framework, because these methods are not redundant versions of the same idea. Each one was developed [...]
September 2026
Attribution and scope: this tutorial builds on Ψ-NN, introduced by Liu et al. (2025, Nature Communications). That foundational framework is not my work. Ψ-HDL, Ψ-xLSTM, and Ψ-Vortex are my own extensions of that research direction. The promise of this tutorial: the companion tutorials left our physics-obeying model able to speak „circuit“ through Ψ-HDL and to [...]
Today, my latest work, “Ψ-Vortex: Structure-Regularized Recurrent Learning for Latent Thermal-Coupling Inference and Verilog-A Compact Modeling of Three-Dimensional Neuromorphic Devices,” has been published in IEEE Access (IF: 4.2). The supplementary experiments document can be seen here. The Ψ-Vortex design rationale document can be seen here. The code, data, configurations, trained artifacts, and reproducibility materials for [...]
Today I submitted PSI-MEM (Physics Structure-Informed Modeling of Printed Memristors for Neuromorphic and Intelligent Sensing), my own very first research proposal built around a research direction that I developed and now want to take into an experimental setting. The proposal was submitted to the Marie Skłodowska-Curie Actions Postdoctoral Fellowships (MSCA-PF) call, with CENIMAT|i3N at NOVA [...]
I recently bought the Xiaomi Portable Electric Air Compressor 2 from Amazon for €36, mainly because I needed to put some air into the tyres of my Dacia Duster Mat Edition, which is fitted with Dunlop all-season tyres. Being a new car, it was due for its first Hauptuntersuchung (HU) after three years, which I [...]
In my previous article, „Better World Models for a Multipolar World„, I wrote about the danger of societies becoming trapped inside models of reality that no longer describe the world particularly well. As an AI researcher, the comparison comes naturally to me because we know that a model can become extremely confident while learning from [...]
There’s a saying floating around the hardware world that sums up one of the biggest mistakes in Edge AI right now: „Don’t kill a mosquito with a cannon.“ Note: Please, never kill insects. They are advanced living beings and deserve respect. If you hurt one by mistake, apologize for it, as I do. Sometimes this [...]
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