New study explores a factorization machine with quadratic-optimization annealing-based optimization framework for RNA design.

Pneumatic artificial muscle (PAM), as a key driving component of soft robot, faces the difficulty of high precision control because of its strong nonlinear and hysteresis characteristics. This paper ...

Download BoTorch tutorial to learn practical Bayesian model-based search with a modern PyTorch library. Explore setup, examples, custom models, acquisition strategies, and links to BoTorch ...

In this work, we address a question that has attracted intense interest in recent years: whether machine learning-assisted algorithms can genuinely outperform classical approaches in challenging ...

Accurate disaster prediction combined with reliable uncertainty quantification is crucial for timely and effective decision-making in emergency management. However, traditional deep learning methods ...

Machine learning models are increasingly applied across scientific disciplines, yet their effectiveness often hinges on heuristic decisions such as data transformations, training strategies, and model ...

An image of the 3D printed nano lattice (left) and a cell of the lattice resting on a bubble (right). Image credits: Peter Serles/University of Toronto For years, scientists have been hunting for ...

Acute respiratory distress syndrome (ARDS) is a clinical syndrome triggered by pulmonary or extra-pulmonary factors with high mortality and poor prognosis in the ICU. The aim of this study was to ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

Hyperparameter optimization lies at the core of developing robust and reliable machine learning models. Unlike parameters learned during training, hyperparameters are set prior to the learning process ...