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Verbundvorhaben PHYSICS: PHY security innovations for communication systems
PHYSICS erforscht neuartige und integrierte Erkennungs-, Abschwächungs-, und Kompensationsstrategien bei Angriffen auf Kommunikationsnetze, sodass die Anforderungen von Sicherheit, Resilienz und Privatsphäre der Kommunikations-Infrastrukturen erfüllt werden.
Oliver Michler +6 more
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Toward Intelligent Reconfigurable Wireless Physical Layer (PHY) [PDF]
IEEE Open Journal of Circuits and Systems, 2021 Next-generation wireless networks are getting significant attention because they promise 10-factor enhancement in mobile broadband along with the potential to enable new heterogeneous services. Services include massive machine type communications desired for Industrial 4.0 along with ultra-reliable low latency services for remote healthcare and ...
Neelam Singh +2 more
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Phy-Q as a measure for physical reasoning intelligence
Nature Machine Intelligence, 2023 Abstract Humans are well versed in reasoning about the behaviours of physical objects and choosing actions accordingly to accomplish tasks, while this remains a major challenge for artificial intelligence. To facilitate research addressing this problem, we propose a new testbed that requires an agent to reason about physical scenarios
Cheng Xue 0008 +5 more
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Traditional convolutional neural networks (CNNs) are intrinsically limited by their local receptive fields, which hinders their capability to capture long-range contextual dependencies in a single layer. Although global convolution operators formulated in the spectral domain successfully expand the receptive field to the entire image scale with a ...
Jincheng Zhang
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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
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Phy-Taylor: Physics-Model-Based Deep Neural Networks
CoRR, 2022 Working ...
Yanbing Mao +5 more
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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
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