Results 1 to 10 of about 87,865 (217)

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, S. V. Sai Santosh, Sumit Jagdish Darak   +2 more
openaire   +3 more sources

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, Vimukthini Pinto, Chathura Nagoda Gamage, Ekaterina Nikonova, Peng Zhang 0021, Jochen Renz   +5 more
openaire   +4 more sources

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, Pinto, Vimukthini, Gamage, Chathura, Zhang, Peng, Renz, Jochen   +4 more
openaire   +4 more sources

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, John-Paul Ore, Xiangyu Zhang 0001, Sebastian G. Elbaum, Zhaogui Xu   +4 more
openaire   +1 more source

Phy-Taylor: Physics-Model-Based Deep Neural Networks

CoRR, 2022
Working ...
Yanbing Mao, Lui Sha, Huajie Shao, Yuliang Gu, Qixin Wang 0001, Tarek F. Abdelzaher   +5 more
openaire   +2 more sources

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, E A Putri, F C Wibowo, D K Robby, R W D Puspa, W A Pertiwi, L K Sianipar, W Qoiriyah, H Sitompul   +8 more
openaire   +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, Vimukthini Pinto, Chathura Gamage, Ekaterina Nikonova, Peng Zhang, Jochen Renz   +5 more
openaire   +1 more source

Teaching quantum interpretations : revisiting the goals and practices of introductory quantum physics courses [PDF]

, 2015
This work was supported in part by NSF CAREER Grant No. 0448176, NSF DUE No. 1322734, NSF IUSE No. 1432204, the University of Colorado, and the University of St Andrews.Most introductory quantum physics instructors would agree that transitioning students
Charles Baily, Baily, Charles, Finkelstein, Noah D., Noah D. Finkelstein   +3 more
core   +1 more source

Report and recommendations on multimedia materials for teaching and learning quantum physics [PDF]

, 2015
An international collaboration of physicists, affiliated with Multimedia Physics for Teaching and Learning (MPTL) and MERLOT, performed a survey and review of multimedia-based learning materials for quantum physics and quantum mechanics.
Kohnle, A., Santi, L, Kohnle, A, Girwidz, R, Silva, J., Michelini, M, Greczyło, T., SANTI, Lorenzo Gianni, Melder, T., Mason, B, Silva, J, Debowska, E., Greczylo, T., Greczyło, T., Melder, T, Arpornthip, T., Santi, L., Dębowska, E, Girwidz, R., MICHELINI, Marisa, Michelini, M., Arpornthip, T, Greczyło, T, Mason, B.   +23 more
core   +1 more source

A new introductory quantum mechanics curriculum [PDF]

, 2014
The Institute of Physics New Quantum Curriculum consists of freely available online learning and teaching materials (quantumphysics.iop.org) for a first course in university quantum mechanics starting from two-level systems.
Kohnle, Antje, Prokopas, Martynas, Gytis Kulaitis (7170299), Bozhinova, Inna, Antje Kohnle (3726961), Mark Everitt (1250502), Everitt, Mark, Dan Browne (7170293), Browne, Dan, Swinbank, Elizabeth, Martynas Prokopas (7170302), Elizabeth Swinbank (7170308), Kulaitis, Gytis, Raine, Derek, Inna Bozhinova (7170290), Kok, Pieter, Fomins, Aleksejs, Aleksejs Fomins (7170296), Pieter Kok (5100035), Derek Raine (7170305)   +19 more
core   +1 more source