Results 21 to 30 of about 1,013,754 (226)
Hi-Phy: A Benchmark for Hierarchical Physical Reasoning
CoRR, 2021 Reasoning about the behaviour of physical objects is a key capability of agents operating in physical worlds. Humans are very experienced in physical reasoning while it remains a major challenge for AI. To facilitate research addressing this problem, several benchmarks have been proposed recently.
Xue, Cheng +4 more
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Phys: probabilistic physical unit assignment and inconsistency detection [PDF]
Proceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018 Program variables used in robotic and cyber-physical systems often have implicit physical units that cannot be determined from their variable types. Inferring an abstract physical unit type for variables and checking their physical unit type consistency is of particular importance for validating the correctness of such systems. For instance, a variable
Sayali Kate +4 more
openaire +2 more sources
Phy-Taylor: Physics-Model-Based Deep Neural Networks
CoRR, 2022 Working ...
Yanbing Mao +5 more
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Stimulated Raman adiabatic passage in physics, chemistry, and beyond [PDF]
, 2016 The technique of stimulated Raman adiabatic passage (STIRAP), which allows efficient and selective population transfer between quantum states without suffering loss due to spontaneous emission, was introduced in 1990 (Gaubatz \emph{et al.}, J. Chem. Phys.
N. Vitanov +3 more
semanticscholar +1 more source
Phy-Q: A Testbed for Physical Reasoning
, 2022 Abstract Humans are well-versed in reasoning about the behaviors of physical objects and choosing actions accordingly to accomplish tasks, while it remains a major challenge for AI. To facilitate research addressing this problem, we propose a new testbed that requires an agent to reason about physical scenarios and take an action appropriately.
Cheng Xue +5 more
openaire +1 more source
Digital Storytelling of Physics (DiS-Phy): Learning Physics from Home Through Stories
Journal of Physics: Conference Series, 2021 AbstractThis study aims to develop a product such as “Digital storytelling of Physics (DiS-Phy)” that can be used as a physics’ educational media for distance learning (PJJ) on magnetic field material. DiS-Phy developed as a digital storytelling media which is able to combine several learning media such as writing, pictures and learning videos in one ...
L A Sanjaya +8 more
openaire +1 more source
The European Physical Journal C, 2020 This paper is an addendum to Ref. Eur. Phys. J. C79 (2019) no. 8, 714 that supersedes all results (Tables and Figures) in that paper after including the new data on the B→K∗μμ\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym ...
Marcel Algueró +7 more
semanticscholar +1 more source
Learning multivariate new physics [PDF]
The European Physical Journal C, 2019 We discuss a method that employs a multilayer perceptron to detect deviations from a reference model in large multivariate datasets. Our data analysis strategy does not rely on any prior assumption on the nature of the deviation.
R. D'Agnolo +4 more
semanticscholar +1 more source
Neutrino, electroweak, and nuclear physics from COHERENT elastic neutrino-nucleus scattering with refined quenching factor [PDF]
Physical Review D, 2019 We present an updated analysis of the coherent neutrino-nucleus elastic scattering data of the COHERENT experiment, taking into account the new quenching factor published recently in [Phys. Rev. D 100, 033003 (2019)].
M. Cadeddu +4 more
semanticscholar +1 more source
Towards Visual Discrimination and Reasoning of Real-World Physical Dynamics: Physics-Grounded Anomaly Detection [PDF]
Computer Vision and Pattern RecognitionHumans detect real-world object anomalies by perceiving, interacting, and reasoning based on object-conditioned physical knowledge. The long-term goal of Industrial Anomaly Detection (IAD) is to enable machines to autonomously replicate this skill ...
Wen-Qiao Li +6 more
semanticscholar +1 more source