Researchers propose S-GAI, a spectral geometry-aware initialization framework for sigmoidal MLPs that encodes dataset geometry into network weights. Using SVD to extract class-wise spectral features, …
An engineer seeking real-world experience with ML surrogates for CFD and FEA simulations asks about practical architectures, data efficiency, physics-informed approaches, and generalization. The quest…
Researchers optimized abrasive water jet machining parameters for an Al6061 hybrid composite using regression models and multi-criteria optimization. The study, published in Scientific Reports on June…
A detailed breakdown of the PyTorch training loop reveals common placement errors that silently break training, such as moving the model to a device after optimizer creation or calling gradient clippi…
Researchers trained deep MLPs to memorize secret binary strings and found that naturally learned behaviors resist detection by both human-made input-optimization algorithms and learned algorithms, pos…
Engineers are increasingly using machine learning surrogate models to accelerate computational fluid dynamics (CFD) and finite element analysis (FEA) simulations, replacing traditional hour-long solve…
Researchers introduced Ghost Attractor Networks, a dynamical decoder that uses basin-structured latent representations for closed-loop sequential generation. The 2.3-million-parameter Ghost matched th…
Researchers found that repetition loops in Gemma 4 instruction-tuned LLMs can be fixed by editing as few as one neuron, but the fix does not resolve deeper 'doom loops' caused by missing knowledge. Th…
Researchers introduced Geometry-Aware Tabular Diffusion (GATD), a method that improves tabular data synthesis by feeding pairwise angles and lengths from column value differences into diffusion denois…