Results 91 to 100 of about 2,054 (164)
Brain‐Inspired Neuromorphic Device for Artificial Intelligent Robots Applications
Brain‐inspired neuromorphic devices mimic biological systems to provide an efficient hardware foundation for embodied intelligent robotics. This review explores the material systems and corresponding computing architectures of neuromorphic devices that support low‐power perception, adaptive learning, and real‐time decision‐making.
Jiachen Han +3 more
wiley +1 more source
Baselining Large Language Model Performance in Systems Engineering Using SysEngBench
ABSTRACT In the rapidly evolving field of artificial intelligence (AI), large language model s (LLMs) have demonstrated impressive capabilities in generating natural language. However, their proficiency in specialized domains, particularly in the field of systems engineering (SE), remains less explored and unquantified.
Ryan Bell +3 more
wiley +1 more source
Tailoring Model‐Based Systems Engineering for Sub‐100 g PlanarSats: A Power‐First View Stack
ABSTRACT This paper addresses how to apply model‐based systems engineering (MBSE) to ultrasmall planar satellites under severe power and resource constraints. PlanarSats are sub‐100‐gram spacecraft built as single printed‐circuit boards where the same surface must host both electronics and solar cells, so power generation, geometry, and component ...
Mehmet Şevket Uludaǧ +1 more
wiley +1 more source
Splatshop: Efficiently Editing Large Gaussian Splat Models
Abstract We present Splatshop, a highly optimized toolbox for interactive editing (selection, deletion, painting, transformation, …) of 3D Gaussian Splatting models. Utilizing a comprehensive collection of heuristic approaches, we carefully balance between exact and fast rendering to enable precise editing without sacrificing real‐time performance. Our
Markus Schütz +5 more
wiley +1 more source
Simulating Quantum Field Theories on Gate-Based Quantum Computers
We implement a simulation of a quantum field theory in 1+1 space–time dimensions on a gate-based quantum computer using the light-front formulation of the theory.
Gayathree M. Vinod, Anil Shaji
doaj +1 more source
Real‐Time Rendering of Dynamic Line Sets using Voxel Ray Tracing
Abstract Real‐time rendering of dynamic line sets is relevant in many visualization tasks, including unsteady flow visualization and interactive white matter reconstruction from Magnetic Resonance Imaging. High‐quality global illumination and transparency are important for conveying the spatial structure of dense line sets, yet remain difficult to ...
B. Kraaijeveld +3 more
wiley +1 more source
Euclidean effective theory for partons in the spirit of Steven Weinberg
The standard formulation of parton physics involves light-cone correlations of quark and gluon fields in a hadron, which leads to a widespread impression that it can only be studied through real-time Hamiltonian dynamics or light-front quantization ...
Xiangdong Ji
doaj +1 more source
Light front quantization—A technique for relativistic and realistic nuclear physics [PDF]
Applications of relativistic light front dynamics to computing wave functions of heavy nuclei are reviewed. The motivation for this is the desire to find wave functions, expressed in terms of the plus-momentum variable, that simplify the analyses of high energy experiments such as deep inelastic scattering, Drell-Yan production, (e,e') and (p,p').Some ...
openaire +2 more sources
Authoring Terrestrial Planets with Diffusion Models
Abstract To support the design and subsequent generation of terrestrial planets for use in the creative media, we propose a solution that employs a generative model trained on satellite data from planetary bodies with a defined solid surface, such as the Earth and Mars.
Oliver Borg +6 more
wiley +1 more source
Scalable Computation of Topological Abstractions for Scalar Data
Abstract Topological data analysis has become an important tool for large scale scalar data analysis and visualization, efficiently extracting the inherent structure and features of interest of the data. However, with growing dataset sizes and complexity, it is increasingly becoming infeasible to compute topological abstractions of interest in serial ...
M. Will +6 more
wiley +1 more source

