Zobrazeno 1 - 10
of 433
pro vyhledávání: '"I.m"'
Autor:
Wyder, Philippe Martin, Bakhda, Riyaan, Zhao, Meiqi, Booth, Quinn A., Modi, Matthew E., Song, Andrew, Kang, Simon, Wu, Jiahao, Patel, Priya, Kasumi, Robert T., Yi, David, Garg, Nihar Niraj, Jhunjhunwala, Pranav, Bhutoria, Siddharth, Tong, Evan H., Hu, Yuhang, Goldfeder, Judah, Mustel, Omer, Kim, Donghan, Lipson, Hod
Biological lifeforms can heal, grow, adapt, and reproduce -- abilities essential for sustained survival and development. In contrast, robots today are primarily monolithic machines with limited ability to self-repair, physically develop, or incorpora
Externí odkaz:
http://arxiv.org/abs/2411.11192
Autor:
Hepworth, K. J., Church, Christopher
Data visualizations are inherently rhetorical, and therefore bias-laden visual artifacts that contain both explicit and implicit arguments. The implicit arguments depicted in data visualizations are the net result of many seemingly minor decisions ab
Externí odkaz:
http://arxiv.org/abs/2411.17704
Autor:
Rangapur, Aryan, Rangapur, Aman
Large language models have gained considerable interest for their impressive performance on various tasks. Within this domain, ChatGPT and GPT-4, developed by OpenAI, and the Gemini, developed by Google, have emerged as particularly popular among ear
Externí odkaz:
http://arxiv.org/abs/2405.18344
Autor:
Berry, David M.
Today we live in computational abundance whereby our everyday lives and the environment that surrounds us are suffused with digital technologies. This is a world of anticipatory technology and contextual computing that uses smart diffused computation
Externí odkaz:
http://arxiv.org/abs/2407.05922
Autor:
Hoffmann, Felix, Kebschull, Udo
In this publication, a novel architecture for Proof-of-Useful-Work blockchain consensus which aims to replace hash-based block problems with Monte Carlo simulation-based block problems to donate computational power to real-world HEP experiments is de
Externí odkaz:
http://arxiv.org/abs/2404.09093
Publikováno v:
Engineering Fracture Mechanics, Volume 293, 1st December 2023, 109868
To this date the safety assessment of materials, used for example in the nuclear power sector, commonly relies on a fracture mechanical analysis utilizing macroscopic concepts, where a global load quantity K or J is compared to the materials fracture
Externí odkaz:
http://arxiv.org/abs/2403.18337
The objective of this paper is to provide an introduction to the principles of Bayesian joint modeling of longitudinal measurements and time-to-event outcomes, as well as model implementation using the BUGS language syntax. This syntax can be execute
Externí odkaz:
http://arxiv.org/abs/2403.07778
Autor:
Weigend, Fabian C, Liu, Xiao, Sonawani, Shubham, Kumar, Neelesh, Vasudevan, Venugopal, Amor, Heni Ben
This paper introduces iRoCo (intuitive Robot Control) - a framework for ubiquitous human-robot collaboration using a single smartwatch and smartphone. By integrating probabilistic differentiable filters, iRoCo optimizes a combination of precise robot
Externí odkaz:
http://arxiv.org/abs/2403.07199
Autor:
Lee, Serin, Kim, S.
This paper presents a novel approach at the intersection of machine learning and number theory, focusing on the classification of prime and non-prime numbers. At the core of our research is the development of a highly sparse encoding method, integrat
Externí odkaz:
http://arxiv.org/abs/2402.03363
Autor:
Łoś, Marcin, Służalec, Tomasz, Maczuga, Paweł, Vilkha, Askold, Uriarte, Carlos, Paszyński, Maciej
Physics-Informed Neural Networks (PINNs) have been successfully applied to solve Partial Differential Equations (PDEs). Their loss function is founded on a strong residual minimization scheme. Variational Physics-Informed Neural Networks (VPINNs) are
Externí odkaz:
http://arxiv.org/abs/2401.02300