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pro vyhledávání: '"McShane P"'
Explanation is key to people having confidence in high-stakes AI systems. However, machine-learning-based systems -- which account for almost all current AI -- can't explain because they are usually black boxes. The explainable AI (XAI) movement hedg
Externí odkaz:
http://arxiv.org/abs/2409.18052
Autor:
Oruganti, Sanjay, Nirenburg, Sergei, McShane, Marjorie, English, Jesse, Roberts, Michael K., Arndt, Christian
This paper presents a novel approach to multi-robot planning and collaboration. We demonstrate a cognitive strategy for robots in human-robot teams that incorporates metacognition, natural language communication, and explainability. The system is emb
Externí odkaz:
http://arxiv.org/abs/2409.18047
Autor:
Oruganti, Sanjay, Nirenburg, Sergei, McShane, Marjorie, English, Jesse, Roberts, Michael K., Arndt, Christian
We present HARMONIC, a framework for implementing cognitive robots that transforms general-purpose robots into trusted teammates capable of complex decision-making, natural communication and human-level explanation. The framework supports interoperab
Externí odkaz:
http://arxiv.org/abs/2409.18037
Autor:
Goncharov, Artem, Gorocs, Zoltan, Pradhan, Ridhi, Ko, Brian, Ajmal, Ajmal, Rodriguez, Andres, Baum, David, Veszpremi, Marcell, Yang, Xilin, Pindrys, Maxime, Zheng, Tianle, Wang, Oliver, Ramella-Roman, Jessica C., McShane, Michael J., Ozcan, Aydogan
Publikováno v:
ACS Nano (2024)
Optical continuous glucose monitoring (CGM) systems are emerging for personalized glucose management owing to their lower cost and prolonged durability compared to conventional electrochemical CGMs. Here, we report a computational CGM system, which i
Externí odkaz:
http://arxiv.org/abs/2406.09442
Autor:
McShane, Greg
We discuss the relationship between Penner's $\lambda$-length and the norms of Eisenstein integers. This leads to a geometric proof of the fact, attributed to Fermat, that every prime $p$ of the form $3k + 1$ is the norm of an Eisenstein integer that
Externí odkaz:
http://arxiv.org/abs/2403.14375
The paper describes a system that uses large language model (LLM) technology to support the automatic learning of new entries in an intelligent agent's semantic lexicon. The process is bootstrapped by an existing non-toy lexicon and a natural languag
Externí odkaz:
http://arxiv.org/abs/2312.16378
Autor:
Masai, Hidetoshi, McShane, Greg
A number of questions related to the length spectrum of surfaces are discussed and in particular the existence of pairs of surfaces which though not isometric are isospectral. Here by isospectral we mean that a pair of bodies have the same distributi
Externí odkaz:
http://arxiv.org/abs/2308.12109
Autor:
Mariam M. Konaté, Julia Krushkal, Ming-Chung Li, Li Chen, Yuri Kotliarov, Alida Palmisano, Rini Pauly, Qian Xie, P. Mickey Williams, Lisa M. McShane, Yingdong Zhao
Publikováno v:
Journal of Translational Medicine, Vol 22, Iss 1, Pp 1-14 (2024)
Abstract Background With poor prognosis and high mortality, pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal malignancies. Standard of care therapies for PDAC have included gemcitabine for the past three decades, although resistance
Externí odkaz:
https://doaj.org/article/8450290fb1bd45a187afecbd4534732f
Autor:
Staffan Arvidsson McShane, Ulf Norinder, Jonathan Alvarsson, Ernst Ahlberg, Lars Carlsson, Ola Spjuth
Publikováno v:
Journal of Cheminformatics, Vol 16, Iss 1, Pp 1-17 (2024)
Abstract Conformal prediction has seen many applications in pharmaceutical science, being able to calibrate outputs of machine learning models and producing valid prediction intervals. We here present the open source software CPSign that is a complet
Externí odkaz:
https://doaj.org/article/5bc293f6d66346fca78338f8c969d309
Publikováno v:
Materials and Design, 224, p. 111398
Additive Manufacturing (AM) has enabled the fabrication of metallic cellular materials that are of interest in the design of lightweight impact resistant structures. However, there is a need to understand the interactions between: (i) the material ar
Externí odkaz:
http://arxiv.org/abs/2212.00438