EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses machine learning to gain meaningful insights from complex biological data.

Multiple space agencies plan to return astronauts to the moon by the end of this decade. Along with commercial and ...

A new data-driven technique for obstacle avoidance in autonomous vehicles is reported in the International Journal of Vehicle ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

Description This workshop on Engineering Design Optimization using MATLAB® and Python™ addresses the shape optimization of mechanical components for strength.

Based on the open-source optimization tool OpenMDAO, a multidisciplinary design and optimization (MDO) framework is constructed using Python, with development costs as the optimization objective.

Therefore, automated design space exploration, embedding automated safety analysis, becomes crucial for optimal system design. This article proposes a framework for model-based optimization of ...

This article proposes a framework for model-based optimization of safety-critical mechatronic systems facing two major challenges as follows. 1) Modeling and exploration of a large design space ...

This presentation introduces EDEN, the Exploration & Design Engineering Network, which leverages advances in high-performance computing and generative neural networks to formally tackle configuration ...