In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

The development of catalysts has long depended on trial-and-error methods, which are time-consuming and often yield ...

Designing Data Centers for Next-Gen Language Models” was published by Intel Corporation and Georgia Tech. An excerpt from the ...

Sigmetrix champions early-stage tolerance analysis to help engineers create manufacturable, high performance products without ...

Innovations in assistive AI and, ultimately, increased autonomy with agentic AI will redefine what engineers can achieve ...

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 ...

R wrapper for Van der Maaten's Barnes-Hut implementation of t-Distributed Stochastic Neighbor Embedding - jkrijthe/Rtsne ...

Several variants of evolutionary algorithms (EAs) have been applied to solve the project scheduling problem (PSP), yet their performance highly depends on design choices for the EA. It is still ...

Chemical trapping strategies have recently emerged as powerful approaches for investigating the structural dynamics of E3 ligase-catalyzed substrate ubiquitination. However, current ...

Master's Programme in Design is organized by the School of Arts, Design and Architecture. The Master’s Programme in Design offers three majors for specializing in Collaborative and Industrial Design ...

This paper describes the design analysis and optimization of a novel 3-degrees of freedom (DOF) wearable parallel robot developed for ankle rehabilitation treatments. To address the challenges arising ...