Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
Rare earth elements are essential for modern technology, but their similar chemistry makes separation difficult and expensive ...
Liver cirrhosis, the common endpoint of chronic liver disease, is characterized by diffuse fibrosis, pseudolobule formation, and vascular distortion ...
I went through six full-bag fittings to find my perfect set, and here's how I stumbled upon what might be the greatest 5-iron ...
PolarGrad (Polar Gradient methods; Lau et al., 2025) is a class of matrix-gradient optimizers based on the concept of gradient-anisotropy preconditioning in optimization. It has close relation to Muon ...
Recently, a research team led by Prof. Zhao Bangchuan from the Institute of Solid State Physics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, in collaboration with Prof. Xiao Yao ...
This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...
Real-world optimization problems often require an external “modeling engine” that computes fitnesses or data that are then input to an objective function. These programs often have much longer ...
Scottish scientist Dr. Stuart Pugh developed a method for improvement selection called Pugh’s Controlled Convergence. More commonly known as the Pugh Matrix, it formalizes the decision-making process ...
A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
Abstract: In recent years, visual tracking methods based on convolutional neural networks and transformers have achieved remarkable performance and have been successfully applied in fields such as ...
Abstract: The bypass switch is an important component for protecting the modular multilevel converter submodule in the flexible DC transmission system. Due to the low impedance of the flexible DC ...