Zobrazeno 1 - 10
of 146
pro vyhledávání: '"Tad Hogg"'
Autor:
Nuno R. B. Martins, Amara Angelica, Krishnan Chakravarthy, Yuriy Svidinenko, Frank J. Boehm, Ioan Opris, Mikhail A. Lebedev, Melanie Swan, Steven A. Garan, Jeffrey V. Rosenfeld, Tad Hogg, Robert A. Freitas
Publikováno v:
Frontiers in Neuroscience, Vol 13 (2019)
The Internet comprises a decentralized global system that serves humanity’s collective effort to generate, process, and store data, most of which is handled by the rapidly expanding cloud. A stable, secure, real-time system may allow for interfacin
Externí odkaz:
https://doaj.org/article/11014d5ad8014aa1a2e7368d7ef3b8ab
Autor:
Kristina Lerman, Tad Hogg
Publikováno v:
PLoS ONE, Vol 9, Iss 2, p e98914 (2014)
With the advent of social media and peer production, the amount of new online content has grown dramatically. To identify interesting items in the vast stream of new content, providers must rely on peer recommendation to aggregate opinions of their m
Externí odkaz:
https://doaj.org/article/2e1a2909ff83453baf4004e410e60152
Autor:
Tad Hogg
Publikováno v:
Journal of Micro-Bio Robotics. 17:93-102
Microscopic robots in the body could harvest energy from ultrasound to provide on-board control of autonomous behaviors such as measuring and communicating diagnostic information and precisely delivering drugs. This paper evaluates the acoustic power
Publikováno v:
Proceedings of the International AAAI Conference on Web and Social Media. 5:13-22
What will social media sites of tomorrow look like? What behaviors will their interfaces enable? A major challenge for designing new sites that allow a broader range of user actions is the difficulty of extrapolating from experience with current site
Autor:
Bernardo A. Huberman, Tad Hogg
Publikováno v:
AI and Ethics. 1:347-353
The rapid growth in digital data forms the basis for a wide range of new services and research, e.g, large-scale medical studies. At the same time, increasingly restrictive privacy concerns and laws are leading to significant overhead in arranging fo
Publikováno v:
Proceedings of the ACM on Human-Computer Interaction. 4:1-20
Crowdsourcing systems aggregate decisions of many people to help users quickly identify high-quality options, such as the best answers to questions or interesting news stories. A long-standing issue in crowdsourcing is how option quality and human ju
Publikováno v:
Quantum Science and Technology. 8:015017
We develop a framework for analyzing layered quantum algorithms such as quantum alternating operator ans\"atze. Our framework relates quantum cost gradient operators, derived from the cost and mixing Hamiltonians, to classical cost difference functio
Publikováno v:
Quantum Machine Intelligence. 3
Generative models have the capacity to model and generate new examples from a dataset and have an increasingly diverse set of applications driven by commercial and academic interest. In this work, we present an algorithm for learning a latent variabl
We study the relationship between the Quantum Approximate Optimization Algorithm (QAOA) and the underlying symmetries of the objective function to be optimized. Our approach formalizes the connection between quantum symmetry properties of the QAOA dy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3dc0d54fdfcfb6f44c56259546be34d1
http://arxiv.org/abs/2012.04713
http://arxiv.org/abs/2012.04713
Autor:
BahaaAlDeen M. AboAlNaga, Erhan Akdogan, Mehmet Emin Aktan, A. Altamirano, Ahmad Taher Azar, Francesco Belotti, Iram Tariq Bhatti, Andrea Bolzoni Villaret, Barbara Buffoli, Jonathan Casas, Riccardo Cassinis, Nathalia Cespedes, Lingbo Cheng, Carlos A. Cifuentes, Francesco Doglietto, Bita Fallahi, Zahra Fathy, Marco Ferrari, Marco Maria Fontanella, Osman Hasan, Lena Hirtler, Tad Hogg, Habiba Ibrahim, Iyani N. Kalupahana, Akhilesh Kumar, Amit Kumar, L. Leija, Changsheng Li, Xiaojian Li, Ahmed Madian, Alba Madoglio, Davide Mattavelli, Nada Ali Mohamed, Marcela Múnera, R. Muñoz, Zbigniew Nawrat, Piero Nicolai, Godwin Ponraj, Mohammad Javad Pourmand, Vittorio Rampinelli, Adnan Rashid, Hongliang Ren, Luigi Fabrizio Rodella, J. Antonio Ruvalcaba, Alberto Schreiber, Mojtaba Sharifi, Dong Sun, Mazen Ahmed Taha, Fabio Tampalini, Mahdi Tavakoli, Ramna Tripathi, A. Vera, Francesca Zappa, Guoniu Zhu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4a9dcc099044d9e02fc456e57110355
https://doi.org/10.1016/b978-0-12-817463-0.09990-1
https://doi.org/10.1016/b978-0-12-817463-0.09990-1