Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Serkan, Cabi"'
Autor:
Andrew Ward, Darren Yang, Wesley P. Wong, Serkan Cabi, Elisha Krieg, Bhavik Nathwani, Prakash Shrestha, Yi Luo, Toma E. Tomov, William M. Shih, James I. MacDonald, Hans T. Bergal, Alexander Johnson-Buck
Publikováno v:
Nature Nanotechnology. 16:1362-1370
Decoding the identity of biomolecules from trace samples is a longstanding goal in the field of biotechnology. Advances in DNA analysis have substantially affected clinical practice and basic research, but corresponding developments for proteins face
Autor:
Prakash, Shrestha, Darren, Yang, Toma E, Tomov, James I, MacDonald, Andrew, Ward, Hans T, Bergal, Elisha, Krieg, Serkan, Cabi, Yi, Luo, Bhavik, Nathwani, Alexander, Johnson-Buck, William M, Shih, Wesley P, Wong
Publikováno v:
Nature nanotechnology. 16(12)
Decoding the identity of biomolecules from trace samples is a longstanding goal in the field of biotechnology. Advances in DNA analysis have substantially affected clinical practice and basic research, but corresponding developments for proteins face
Autor:
Misha Denil, David J. Barker, Sergio Gomez Colmenarejo, Ziyu Wang, Nando de Freitas, Ksenia Konyushova, Mel Vecerik, Serkan Cabi, David Budden, Jonathan Scholz, Alexander Novikov, Scott Reed, Yusuf Aytar, Oleg P. Sushkov, Rae Jeong, Konrad Zolna
Publikováno v:
Robotics: Science and Systems
We present a framework for data-driven robotics that makes use of a large dataset of recorded robot experience and scales to several tasks using learned reward functions. We show how to apply this framework to accomplish three different object manipu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::949a18797a593e4bc0f952ace525ffc7
Autor:
Ziyu Wang, Nando de Freitas, Saran Tunyasuvunakool, Raia Hadsell, Andrei Rusu, Serkan Cabi, Yuke Zhu, Josh Merel, Nicolas Heess, Tom Erez, János Kramár
Publikováno v:
Robotics: Science and Systems
We propose a model-free deep reinforcement learning method that leverages a small amount of demonstration data to assist a reinforcement learning agent. We apply this approach to robotic manipulation tasks and train end-to-end visuomotor policies tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e223b3355ed5af0a9400def814b8a551
http://arxiv.org/abs/1802.09564
http://arxiv.org/abs/1802.09564
Autor:
Mario Salazar, Fatma Basibuyuk Sahin, Hilde Herrema, Isin Cakir, Yu-Hsin Chiu, Sang Won Park, Umut Ozcan, Lewis C. Cantley, Serkan Cabi
Bromodomain-containing protein 7 (BRD7) is a member of the bromodomain-containing protein family that is known to play a role as tumor suppressors. Here, we show that BRD7 is a component of the unfolded protein response (UPR) signaling through its ab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a11513a31551bef7c3d331165f8d498
https://europepmc.org/articles/PMC4079724/
https://europepmc.org/articles/PMC4079724/
Publikováno v:
Physical Review D. 76
It is well-entrenched folklore that torsion gravity theories predict observationally negligible torsion in the solar system, since torsion (if it exists) couples only to the intrinsic spin of elementary particles, not to rotational angular momentum.