Training of large models with an ever higher amount of parameters will dramatically change the way how datacenters are built and operated. We see a strong increase in power demand on every level from processor to rack to the entire datacenter. In this contribution we will share our views on future datacenter architectures and demonstrate solutions for all relevant power conversion stages from Grid...

Smart actuators have become central to advancing humanoid robots, bringing essential features such as efficiency, precision, compactness, and safety. Achieving human-like movement requires actuators addressing unique challenges, including stringent thermal management, high accuracy, and fast responsiveness. Unlike industrial automation systems, humanoid robots operate in highly dynamic environment...

Nature Communications is a high-impact, peer-reviewed scientific journal that publishes significant advances across the natural sciences. As part of the Nature Research portfolio, the journal emphasizes rigorous peer review, broad interdisciplinary relevance, and high editorial standards. Publishing with Nature Communications involves a transparent editorial process that begins with a structured i...

Prof. Zhao's research focuses on the development and application of mass spectrometry-based proteomics, combined with chemical biology and other biological approaches, to uncover and study previously undescribed cellular pathways. His current work emphasizes protein post-translational modifications (PTMs) and their roles in epigenetic regulation. Over the past 18 years, his laboratory has discover...

讲座摘要 This talk will present a novel non-linear model reduction method: Probabilistic Manifold Decomposition (PMD), which provides a powerful framework for constructing non-intrusive reduced-order models (ROMs) by embedding a high-dimensional system into a low-dimensional probabilistic manifold and predicting the dynamics. Through explicit mappings, PMD captures both linearity and non-linearity...