Generative AI (GenAI) has become an indispensable collaborator in various domains and reshaped how humans accomplish diverse tasks, ranging from data analysis to content creation. However, the current human- GenAI interaction loop faces three fundamental breakdowns: 1) the Instruction Gap, where users struggle to express complex and abstract intent with low-bandwidth prompts, 2) the Interpretation...

Given the scale and complexity of today's datasets, people face a critical challenge during visual data analysis: an overwhelming number of decisions. These decisions—about what, where, when, and how to visualize data—directly influence the quality of the analysis process and outcomes. For example, a user must decide what attributes to visualize, whether to apply filters, or which chart type best ...

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...