Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Suleyman, Mustafa"'
Autor:
Nikolov, Stanislav, Blackwell, Sam, Zverovitch, Alexei, Mendes, Ruheena, Livne, Michelle, De Fauw, Jeffrey, Patel, Yojan, Meyer, Clemens, Askham, Harry, Romera-Paredes, Bernardino, Kelly, Christopher, Karthikesalingam, Alan, Chu, Carlton, Carnell, Dawn, Boon, Cheng, D'Souza, Derek, Moinuddin, Syed Ali, Garie, Bethany, McQuinlan, Yasmin, Ireland, Sarah, Hampton, Kiarna, Fuller, Krystle, Montgomery, Hugh, Rees, Geraint, Suleyman, Mustafa, Back, Trevor, Hughes, Cían, Ledsam, Joseph R., Ronneberger, Olaf
Over half a million individuals are diagnosed with head and neck cancer each year worldwide. Radiotherapy is an important curative treatment for this disease, but it requires manual time consuming delineation of radio-sensitive organs at risk (OARs).
Externí odkaz:
http://arxiv.org/abs/1809.04430
Autor:
Kay, Will, Carreira, Joao, Simonyan, Karen, Zhang, Brian, Hillier, Chloe, Vijayanarasimhan, Sudheendra, Viola, Fabio, Green, Tim, Back, Trevor, Natsev, Paul, Suleyman, Mustafa, Zisserman, Andrew
We describe the DeepMind Kinetics human action video dataset. The dataset contains 400 human action classes, with at least 400 video clips for each action. Each clip lasts around 10s and is taken from a different YouTube video. The actions are human
Externí odkaz:
http://arxiv.org/abs/1705.06950
Autor:
BREMMER, IAN1, SULEYMAN, MUSTAFA2
Publikováno v:
Foreign Affairs. Sep/Oct2023, Vol. 102 Issue 5, p26-43. 16p.
Autor:
Nair, Arun, Srinivasan, Praveen, Blackwell, Sam, Alcicek, Cagdas, Fearon, Rory, De Maria, Alessandro, Panneershelvam, Vedavyas, Suleyman, Mustafa, Beattie, Charles, Petersen, Stig, Legg, Shane, Mnih, Volodymyr, Kavukcuoglu, Koray, Silver, David
We present the first massively distributed architecture for deep reinforcement learning. This architecture uses four main components: parallel actors that generate new behaviour; parallel learners that are trained from stored experience; a distribute
Externí odkaz:
http://arxiv.org/abs/1507.04296
Autor:
Hermann, Karl Moritz, Kočiský, Tomáš, Grefenstette, Edward, Espeholt, Lasse, Kay, Will, Suleyman, Mustafa, Blunsom, Phil
Teaching machines to read natural language documents remains an elusive challenge. Machine reading systems can be tested on their ability to answer questions posed on the contents of documents that they have seen, but until now large scale training a
Externí odkaz:
http://arxiv.org/abs/1506.03340
Recently, strong results have been demonstrated by Deep Recurrent Neural Networks on natural language transduction problems. In this paper we explore the representational power of these models using synthetic grammars designed to exhibit phenomena si
Externí odkaz:
http://arxiv.org/abs/1506.02516
Autor:
Suleyman, Mustafa, Bhaskar, Michael
Publikováno v:
Coming Wave; 5/6/2024, p1-4, 4p
Autor:
Bremmer, Ian, Suleyman, Mustafa
Publikováno v:
Foreign Affairs Latinoamérica; ene-mar2024, Vol. 24 Issue 1, p101-113, 13p
Autor:
Suleyman, Mustafa
Publikováno v:
RSA Journal, 2018 Jan 01. 164(5573), 18-21.
Externí odkaz:
https://www.jstor.org/stable/45433474