LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 5 of total 5

Search options

  1. Article: Spontaneous expulsion of a radial miragel scleral buckle.

    Brown, Sasha L / Bloom, Steven M

    Retina (Philadelphia, Pa.)

    2004  Volume 24, Issue 2, Page(s) 306–307

    MeSH term(s) Aged ; Aged, 80 and over ; Humans ; Hydrogel, Polyethylene Glycol Dimethacrylate/adverse effects ; Male ; Scleral Buckling/adverse effects ; Treatment Failure
    Chemical Substances Hydrogel, Polyethylene Glycol Dimethacrylate (25852-47-5)
    Language English
    Publishing date 2004-04-13
    Publishing country United States
    Document type Case Reports ; Journal Article
    ZDB-ID 603192-4
    ISSN 1539-2864 ; 0275-004X
    ISSN (online) 1539-2864
    ISSN 0275-004X
    DOI 10.1097/00006982-200404000-00021
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    In stock of ZB MED Cologne/Königswinter

    Zs.A 1724: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  2. Book ; Online: Geo-locate Project

    Noone, Simon / Brody, Alison / Brown, Sasha / Cantwell, Niamh / Coleman, Martha / Sarsfield Collins, Louise / Darcy, Caoilfhionn / Dee, Dick / Donegan, Seán / Fealy, Rowan / Flattery, Padraig / Mc Govern, Rhonda / Menkman, Caspar / Murphy, Michael / Phillips, Christopher / Roche, Martina / Thorne, Peter

    eISSN: 2569-7110

    A novel approach to resolving meteorological station location issues with the assistance of undergraduate students

    2019  

    Abstract: The Global Land and Marine Observations Database aims to produce a comprehensive land based meteorological data archive and inventory. This requires the compilation of available land-based station meteorological data information from all known available ... ...

    Abstract The Global Land and Marine Observations Database aims to produce a comprehensive land based meteorological data archive and inventory. This requires the compilation of available land-based station meteorological data information from all known available in-situ meteorological data repositories/sources at multiple timescales (e.g. sub-daily, daily and monthly). During this process the service team members have identified that many of the data sources contained stations with incorrect location coordinates. These stations cannot be included in the processing to be served via the Copernicus Climate Change Service until the issues are satisfactorily resolved. Many of these stations are located in regions of the world where a sparsity of climate data currently exists, such as Southeast Asia and South America. As such, resolving these issues would provide important additional climate data, but this is a very labour-intensive task. Therefore, we have developed the Geo-locate project enrolling the help of undergraduate Geography students at Maynooth University, Ireland, to resolve some of the land-based station geolocation issues. We have successfully run two Geo-locate projects, the first in the second semester of the 2017/18 academic year and the second in the 2018/19 academic year. Both iterations to date have been very successful with 1926 out of 2168 total candidate stations ostensibly resolved, which equates to an 88 % success rate. At the same time, students gained critical skills helping to meet the expected pedagogical outcomes of the second-year curriculum, while producing a lasting scientific legacy. We asked the class of 2018/19 to reflect critically upon the outcomes and present the results herein which provide important feedback on what students felt that they gained from their participation and how we may improve the experience and learning outcomes in future. We will be continuing to run Geo-locate projects over the next few years. Due to the success of the Geo-locate project we encourage other organisations to investigate the potential for engaging university students to help resolve similar data issues while enriching the student experience and aiding the delivery of learning outcomes. This paper provides details of the project, and all supporting information such as project guidelines and templates to enable this.
    Subject code 910
    Language English
    Publishing date 2019-07-05
    Publishing country de
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  3. Book ; Online: Geo-locate project

    Noone, Simon / Brody, Alison / Brown, Sasha / Cantwell, Niamh / Coleman, Martha / Sarsfield Collins, Louise / Darcy, Caoilfhionn / Dee, Dick / Donegan, Seán / Fealy, Rowan / Flattery, Padraig / McGovern, Rhonda / Menkman, Caspar / Murphy, Michael / Phillips, Christopher / Roche, Martina / Thorne, Peter

    eISSN: 2569-7110

    a novel approach to resolving meteorological station location issues with the assistance of undergraduate students

    2019  

    Abstract: The Global Land and Marine Observations Database aims to produce a comprehensive land-based meteorological data archive and inventory. This requires the compilation of available information on data from land-based meteorological stations from all known ... ...

    Abstract The Global Land and Marine Observations Database aims to produce a comprehensive land-based meteorological data archive and inventory. This requires the compilation of available information on data from land-based meteorological stations from all known available in situ meteorological data repositories/sources at multiple timescales (e.g. sub-daily, daily, and monthly). During this process the service team members have identified that many of the data sources contain stations with incorrect location coordinates. These stations cannot be included in the processing to be served via the Copernicus Climate Change Service until the issues are satisfactorily resolved. Many of these stations are in regions of the world where a sparsity of climate data currently exists, such as Southeast Asia and South America. As such, resolving these issues would provide important additional climate data, but this is a very labour-intensive task. Therefore, we have developed the Geo-locate project – that enrols the help of undergraduate geography students at Maynooth University, Ireland – to resolve some of the land-based station geolocation issues. To date, we have run two Geo-locate projects: the first in the 2017/2018 academic year and the second in the 2018/2019 academic year. Both iterations have been very successful with 1926 of the 2168 total candidate stations ostensibly resolved, which equates to an 88 % success rate. At the same time, students have gained critical skills that helped to meet the expected pedagogical outcomes of the second-year curriculum, while producing a lasting scientific legacy. We asked the class of 2018/2019 to reflect critically upon the outcomes, and we present the results herein; these results provide important feedback on what students felt that they gained from their participation and how we may improve the experience and learning outcomes in future. We will be continuing to run Geo-locate projects over the next few years. We encourage other organizations to investigate the potential for engaging university students to help resolve similar data issues while enriching the student experience and aiding in the delivery of learning outcomes. This paper provides details of the project, and all supporting information such as project guidelines and templates to enable other organizations to instigate similar programmes.
    Subject code 910
    Language English
    Publishing date 2019-11-08
    Publishing country de
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  4. Article: Temporal jitter disrupts speech intelligibility: a simulation of auditory aging.

    Pichora-Fuller, M Kathleen / Schneider, Bruce A / Macdonald, Ewen / Pass, Hollis E / Brown, Sasha

    Hearing research

    2007  Volume 223, Issue 1-2, Page(s) 114–121

    Abstract: We disrupted periodicity cues by temporally jittering the speech signal to explore how such distortion might affect word identification. Jittering distorts the fine structure of the speech signal with negligible alteration of either its long-term ... ...

    Abstract We disrupted periodicity cues by temporally jittering the speech signal to explore how such distortion might affect word identification. Jittering distorts the fine structure of the speech signal with negligible alteration of either its long-term spectral or amplitude envelope characteristics. In Experiment 1, word identification in noise was significantly reduced in young, normal-hearing adults when sentences were temporally jittered at frequencies below 1.2kHz. The accuracy of the younger adults in identifying jittered speech in noise was similar to that found previously for older adults with good audiograms when they listened to intact speech in noise. In Experiment 2, to rule out the possibility that the reductions in word identification were due to spectral distortion, we also tested a simulation of cochlear hearing loss that produced spectral distortion equivalent to that produced by jittering, but this simulation had significantly less temporal distortion than was produced by jittering. There was no significant reduction in the accuracy of word identification when only the frequency region below 1.2kHz was spectrally distorted. Hence, it is the temporal distortion rather than the spectral distortion of the low-frequency components that disrupts word identification.
    MeSH term(s) Acoustic Stimulation ; Adult ; Aging/physiology ; Aging/psychology ; Hearing Loss/physiopathology ; Hearing Loss/psychology ; Humans ; Models, Psychological ; Noise ; Speech Intelligibility/physiology
    Language English
    Publishing date 2007-01
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 282629-x
    ISSN 1878-5891 ; 0378-5955
    ISSN (online) 1878-5891
    ISSN 0378-5955
    DOI 10.1016/j.heares.2006.10.009
    Database MEDical Literature Analysis and Retrieval System OnLINE

    Full text online

    More links

    Kategorien

    In stock of ZB MED Cologne/Königswinter

    Zs.A 1467: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  5. Book ; Online: Gemini

    Gemini Team / Anil, Rohan / Borgeaud, Sebastian / Wu, Yonghui / Alayrac, Jean-Baptiste / Yu, Jiahui / Soricut, Radu / Schalkwyk, Johan / Dai, Andrew M. / Hauth, Anja / Millican, Katie / Silver, David / Petrov, Slav / Johnson, Melvin / Antonoglou, Ioannis / Schrittwieser, Julian / Glaese, Amelia / Chen, Jilin / Pitler, Emily /
    Lillicrap, Timothy / Lazaridou, Angeliki / Firat, Orhan / Molloy, James / Isard, Michael / Barham, Paul R. / Hennigan, Tom / Lee, Benjamin / Viola, Fabio / Reynolds, Malcolm / Xu, Yuanzhong / Doherty, Ryan / Collins, Eli / Meyer, Clemens / Rutherford, Eliza / Moreira, Erica / Ayoub, Kareem / Goel, Megha / Tucker, George / Piqueras, Enrique / Krikun, Maxim / Barr, Iain / Savinov, Nikolay / Danihelka, Ivo / Roelofs, Becca / White, Anaïs / Andreassen, Anders / von Glehn, Tamara / Yagati, Lakshman / Kazemi, Mehran / Gonzalez, Lucas / Khalman, Misha / Sygnowski, Jakub / Frechette, Alexandre / Smith, Charlotte / Culp, Laura / Proleev, Lev / Luan, Yi / Chen, Xi / Lottes, James / Schucher, Nathan / Lebron, Federico / Rrustemi, Alban / Clay, Natalie / Crone, Phil / Kocisky, Tomas / Zhao, Jeffrey / Perz, Bartek / Yu, Dian / Howard, Heidi / Bloniarz, Adam / Rae, Jack W. / Lu, Han / Sifre, Laurent / Maggioni, Marcello / Alcober, Fred / Garrette, Dan / Barnes, Megan / Thakoor, Shantanu / Austin, Jacob / Barth-Maron, Gabriel / Wong, William / Joshi, Rishabh / Chaabouni, Rahma / Fatiha, Deeni / Ahuja, Arun / Liu, Ruibo / Li, Yunxuan / Cogan, Sarah / Chen, Jeremy / Jia, Chao / Gu, Chenjie / Zhang, Qiao / Grimstad, Jordan / Hartman, Ale Jakse / Chadwick, Martin / Tomar, Gaurav Singh / Garcia, Xavier / Senter, Evan / Taropa, Emanuel / Pillai, Thanumalayan Sankaranarayana / Devlin, Jacob / Laskin, Michael / Casas, Diego de Las / Valter, Dasha / Tao, Connie / Blanco, Lorenzo / Badia, Adrià Puigdomènech / Reitter, David / Chen, Mianna / Brennan, Jenny / Rivera, Clara / Brin, Sergey / Iqbal, Shariq / Surita, Gabriela / Labanowski, Jane / Rao, Abhi / Winkler, Stephanie / Parisotto, Emilio / Gu, Yiming / Olszewska, Kate / Zhang, Yujing / Addanki, Ravi / Miech, Antoine / Louis, Annie / Shafey, Laurent El / Teplyashin, Denis / Brown, Geoff / Catt, Elliot / Attaluri, Nithya / Balaguer, Jan / Xiang, Jackie / Wang, Pidong / Ashwood, Zoe / Briukhov, Anton / Webson, Albert / Ganapathy, Sanjay / Sanghavi, Smit / Kannan, Ajay / Chang, Ming-Wei / Stjerngren, Axel / Djolonga, Josip / Sun, Yuting / Bapna, Ankur / Aitchison, Matthew / Pejman, Pedram / Michalewski, Henryk / Yu, Tianhe / Wang, Cindy / Love, Juliette / Ahn, Junwhan / Bloxwich, Dawn / Han, Kehang / Humphreys, Peter / Sellam, Thibault / Bradbury, James / Godbole, Varun / Samangooei, Sina / Damoc, Bogdan / Kaskasoli, Alex / Arnold, Sébastien M. R. / Vasudevan, Vijay / Agrawal, Shubham / Riesa, Jason / Lepikhin, Dmitry / Tanburn, Richard / Srinivasan, Srivatsan / Lim, Hyeontaek / Hodkinson, Sarah / Shyam, Pranav / Ferret, Johan / Hand, Steven / Garg, Ankush / Paine, Tom Le / Li, Jian / Li, Yujia / Giang, Minh / Neitz, Alexander / Abbas, Zaheer / York, Sarah / Reid, Machel / Cole, Elizabeth / Chowdhery, Aakanksha / Das, Dipanjan / Rogozińska, Dominika / Nikolaev, Vitaly / Sprechmann, Pablo / Nado, Zachary / Zilka, Lukas / Prost, Flavien / He, Luheng / Monteiro, Marianne / Mishra, Gaurav / Welty, Chris / Newlan, Josh / Jia, Dawei / Allamanis, Miltiadis / Hu, Clara Huiyi / de Liedekerke, Raoul / Gilmer, Justin / Saroufim, Carl / Rijhwani, Shruti / Hou, Shaobo / Shrivastava, Disha / Baddepudi, Anirudh / Goldin, Alex / Ozturel, Adnan / Cassirer, Albin / Xu, Yunhan / Sohn, Daniel / Sachan, Devendra / Amplayo, Reinald Kim / Swanson, Craig / Petrova, Dessie / Narayan, Shashi / Guez, Arthur / Brahma, Siddhartha / Landon, Jessica / Patel, Miteyan / Zhao, Ruizhe / Villela, Kevin / Wang, Luyu / Jia, Wenhao / Rahtz, Matthew / Giménez, Mai / Yeung, Legg / Lin, Hanzhao / Keeling, James / Georgiev, Petko / Mincu, Diana / Wu, Boxi / Haykal, Salem / Saputro, Rachel / Vodrahalli, Kiran / Qin, James / Cankara, Zeynep / Sharma, Abhanshu / Fernando, Nick / Hawkins, Will / Neyshabur, Behnam / Kim, Solomon / Hutter, Adrian / Agrawal, Priyanka / Castro-Ros, Alex / Driessche, George van den / Wang, Tao / Yang, Fan / Chang, Shuo-yiin / Komarek, Paul / McIlroy, Ross / Lučić, Mario / Zhang, Guodong / Farhan, Wael / Sharman, Michael / Natsev, Paul / Michel, Paul / Cheng, Yong / Bansal, Yamini / Qiao, Siyuan / Cao, Kris / Shakeri, Siamak / Butterfield, Christina / Chung, Justin / Rubenstein, Paul Kishan / Agrawal, Shivani / Mensch, Arthur / Soparkar, Kedar / Lenc, Karel / Chung, Timothy / Pope, Aedan / Maggiore, Loren / Kay, Jackie / Jhakra, Priya / Wang, Shibo / Maynez, Joshua / Phuong, Mary / Tobin, Taylor / Tacchetti, Andrea / Trebacz, Maja / Robinson, Kevin / Katariya, Yash / Riedel, Sebastian / Bailey, Paige / Xiao, Kefan / Ghelani, Nimesh / Aroyo, Lora / Slone, Ambrose / Houlsby, Neil / Xiong, Xuehan / Yang, Zhen / Gribovskaya, Elena / Adler, Jonas / Wirth, Mateo / Lee, Lisa / Li, Music / Kagohara, Thais / Pavagadhi, Jay / Bridgers, Sophie / Bortsova, Anna / Ghemawat, Sanjay / Ahmed, Zafarali / Liu, Tianqi / Powell, Richard / Bolina, Vijay / Iinuma, Mariko / Zablotskaia, Polina / Besley, James / Chung, Da-Woon / Dozat, Timothy / Comanescu, Ramona / Si, Xiance / Greer, Jeremy / Su, Guolong / Polacek, Martin / Kaufman, Raphaël Lopez / Tokumine, Simon / Hu, Hexiang / Buchatskaya, Elena / Miao, Yingjie / Elhawaty, Mohamed / Siddhant, Aditya / Tomasev, Nenad / Xing, Jinwei / Greer, Christina / Miller, Helen / Ashraf, Shereen / Roy, Aurko / Zhang, Zizhao / Ma, Ada / Filos, Angelos / Besta, Milos / Blevins, Rory / Klimenko, Ted / Yeh, Chih-Kuan / Changpinyo, Soravit / Mu, Jiaqi / Chang, Oscar / Pajarskas, Mantas / Muir, Carrie / Cohen, Vered / Lan, Charline Le / Haridasan, Krishna / Marathe, Amit / Hansen, Steven / Douglas, Sholto / Samuel, Rajkumar / Wang, Mingqiu / Austin, Sophia / Lan, Chang / Jiang, Jiepu / Chiu, Justin / Lorenzo, Jaime Alonso / Sjösund, Lars Lowe / Cevey, Sébastien / Gleicher, Zach / Avrahami, Thi / Boral, Anudhyan / Srinivasan, Hansa / Selo, Vittorio / May, Rhys / Aisopos, Konstantinos / Hussenot, Léonard / Soares, Livio Baldini / Baumli, Kate / Chang, Michael B. / Recasens, Adrià / Caine, Ben / Pritzel, Alexander / Pavetic, Filip / Pardo, Fabio / Gergely, Anita / Frye, Justin / Ramasesh, Vinay / Horgan, Dan / Badola, Kartikeya / Kassner, Nora / Roy, Subhrajit / Dyer, Ethan / Campos, Víctor / Tomala, Alex / Tang, Yunhao / Badawy, Dalia El / White, Elspeth / Mustafa, Basil / Lang, Oran / Jindal, Abhishek / Vikram, Sharad / Gong, Zhitao / Caelles, Sergi / Hemsley, Ross / Thornton, Gregory / Feng, Fangxiaoyu / Stokowiec, Wojciech / Zheng, Ce / Thacker, Phoebe / Ünlü, Çağlar / Zhang, Zhishuai / Saleh, Mohammad / Svensson, James / Bileschi, Max / Patil, Piyush / Anand, Ankesh / Ring, Roman / Tsihlas, Katerina / Vezer, Arpi / Selvi, Marco / Shevlane, Toby / Rodriguez, Mikel / Kwiatkowski, Tom / Daruki, Samira / Rong, Keran / Dafoe, Allan / FitzGerald, Nicholas / Gu-Lemberg, Keren / Khan, Mina / Hendricks, Lisa Anne / Pellat, Marie / Feinberg, Vladimir / Cobon-Kerr, James / Sainath, Tara / Rauh, Maribeth / Hashemi, Sayed Hadi / Ives, Richard / Hasson, Yana / Li, YaGuang / Noland, Eric / Cao, Yuan / Byrd, Nathan / Hou, Le / Wang, Qingze / Sottiaux, Thibault / Paganini, Michela / Lespiau, Jean-Baptiste / Moufarek, Alexandre / Hassan, Samer / Shivakumar, Kaushik / van Amersfoort, Joost / Mandhane, Amol / Joshi, Pratik / Goyal, Anirudh / Tung, Matthew / Brock, Andrew / Sheahan, Hannah / Misra, Vedant / Li, Cheng / Rakićević, Nemanja / Dehghani, Mostafa / Liu, Fangyu / Mittal, Sid / Oh, Junhyuk / Noury, Seb / Sezener, Eren / Huot, Fantine / Lamm, Matthew / De Cao, Nicola / Chen, Charlie / Elsayed, Gamaleldin / Chi, Ed / Mahdieh, Mahdis / Tenney, Ian / Hua, Nan / Petrychenko, Ivan / Kane, Patrick / Scandinaro, Dylan / Jain, Rishub / Uesato, Jonathan / Datta, Romina / Sadovsky, Adam / Bunyan, Oskar / Rabiej, Dominik / Wu, Shimu / Zhang, John / Vasudevan, Gautam / Leurent, Edouard / Alnahlawi, Mahmoud / Georgescu, Ionut / Wei, Nan / Zheng, Ivy / Chan, Betty / Rabinovitch, Pam G / Stanczyk, Piotr / Zhang, Ye / Steiner, David / Naskar, Subhajit / Azzam, Michael / Johnson, Matthew / Paszke, Adam / Chiu, Chung-Cheng / Elias, Jaume Sanchez / Mohiuddin, Afroz / Muhammad, Faizan / Miao, Jin / Lee, Andrew / Vieillard, Nino / Potluri, Sahitya / Park, Jane / Davoodi, Elnaz / Zhang, Jiageng / Stanway, Jeff / Garmon, Drew / Karmarkar, Abhijit / Dong, Zhe / Lee, Jong / Kumar, Aviral / Zhou, Luowei / Evens, Jonathan / Isaac, William / Chen, Zhe / Jia, Johnson / Levskaya, Anselm / Zhu, Zhenkai / Gorgolewski, Chris / Grabowski, Peter / Mao, Yu / Magni, Alberto / Yao, Kaisheng / Snaider, Javier / Casagrande, Norman / Suganthan, Paul / Palmer, Evan / Irving, Geoffrey / Loper, Edward / Faruqui, Manaal / Arkatkar, Isha / Chen, Nanxin / Shafran, Izhak / Fink, Michael / Castaño, Alfonso / Giannoumis, Irene / Kim, Wooyeol / Rybiński, Mikołaj / Sreevatsa, Ashwin / Prendki, Jennifer / Soergel, David / Goedeckemeyer, Adrian / Gierke, Willi / Jafari, Mohsen / Gaba, Meenu / Wiesner, Jeremy / Wright, Diana Gage / Wei, Yawen / Vashisht, Harsha / Kulizhskaya, Yana / Hoover, Jay / Le, Maigo / Li, Lu / Iwuanyanwu, Chimezie / Liu, Lu / Ramirez, Kevin / Khorlin, Andrey / Cui, Albert / LIN, Tian / Georgiev, Marin / Wu, Marcus / Aguilar, Ricardo / Pallo, Keith / Chakladar, Abhishek / Repina, Alena / Wu, Xihui / van der Weide, Tom / Ponnapalli, Priya / Kaplan, Caroline / Simsa, Jiri / Li, Shuangfeng / Dousse, Olivier / Piper, Jeff / Ie, Nathan / Lui, Minnie / Pasumarthi, Rama / Lintz, Nathan / Vijayakumar, Anitha / Thiet, Lam Nguyen / Andor, Daniel / Valenzuela, Pedro / Paduraru, Cosmin / Peng, Daiyi / Lee, Katherine / Zhang, Shuyuan / Greene, Somer / Nguyen, Duc Dung / Kurylowicz, Paula / Velury, Sarmishta / Krause, Sebastian / Hardin, Cassidy / Dixon, Lucas / Janzer, Lili / Choo, Kiam / Feng, Ziqiang / Zhang, Biao / Singhal, Achintya / Latkar, Tejasi / Zhang, Mingyang / Le, Quoc / Abellan, Elena Allica / Du, Dayou / McKinnon, Dan / Antropova, Natasha / Bolukbasi, Tolga / Keller, Orgad / Reid, David / Finchelstein, Daniel / Raad, Maria Abi / Crocker, Remi / Hawkins, Peter / Dadashi, Robert / Gaffney, Colin / Lall, Sid / Franko, Ken / Filonov, Egor / Bulanova, Anna / Leblond, Rémi / Yadav, Vikas / Chung, Shirley / Askham, Harry / Cobo, Luis C. / Xu, Kelvin / Fischer, Felix / Xu, Jun / Sorokin, Christina / Alberti, Chris / Lin, Chu-Cheng / Evans, Colin / Zhou, Hao / Dimitriev, Alek / Forbes, Hannah / Banarse, Dylan / Tung, Zora / Liu, Jeremiah / Omernick, Mark / Bishop, Colton / Kumar, Chintu / Sterneck, Rachel / Foley, Ryan / Jain, Rohan / Mishra, Swaroop / Xia, Jiawei / Bos, Taylor / Cideron, Geoffrey / Amid, Ehsan / Piccinno, Francesco / Wang, Xingyu / Banzal, Praseem / Gurita, Petru / Noga, Hila / Shah, Premal / Mankowitz, Daniel J. / Polozov, Alex / Kushman, Nate / Krakovna, Victoria / Brown, Sasha / Bateni, MohammadHossein / Duan, Dennis / Firoiu, Vlad / Thotakuri, Meghana / Natan, Tom / Mohananey, Anhad / Geist, Matthieu / Mudgal, Sidharth / Girgin, Sertan / Li, Hui / Ye, Jiayu / Roval, Ofir / Tojo, Reiko / Kwong, Michael / Lee-Thorp, James / Yew, Christopher / Yuan, Quan / Bagri, Sumit / Sinopalnikov, Danila / Ramos, Sabela / Mellor, John / Sharma, Abhishek / Severyn, Aliaksei / Lai, Jonathan / Wu, Kathy / Cheng, Heng-Tze / Miller, David / Sonnerat, Nicolas / Vnukov, Denis / Greig, Rory / Beattie, Jennifer / Caveness, Emily / Bai, Libin / Eisenschlos, Julian / Korchemniy, Alex / Tsai, Tomy / Jasarevic, Mimi / Kong, Weize / Dao, Phuong / Zheng, Zeyu / Liu, Frederick / Zhu, Rui / Geller, Mark / Teh, Tian Huey / Sanmiya, Jason / Gladchenko, Evgeny / Trdin, Nejc / Sozanschi, Andrei / Toyama, Daniel / Rosen, Evan / Tavakkol, Sasan / Xue, Linting / Elkind, Chen / Woodman, Oliver / Carpenter, John / Papamakarios, George / Kemp, Rupert / Kafle, Sushant / Grunina, Tanya / Sinha, Rishika / Talbert, Alice / Goyal, Abhimanyu / Wu, Diane / Owusu-Afriyie, Denese / Du, Cosmo / Thornton, Chloe / Pont-Tuset, Jordi / Narayana, Pradyumna / Li, Jing / Fatehi, Sabaer / Wieting, John / Ajmeri, Omar / Uria, Benigno / Zhu, Tao / Ko, Yeongil / Knight, Laura / Héliou, Amélie / Niu, Ning / Gu, Shane / Pang, Chenxi / Tran, Dustin / Li, Yeqing / Levine, Nir / Stolovich, Ariel / Kalb, Norbert / Santamaria-Fernandez, Rebeca / Goenka, Sonam / Yustalim, Wenny / Strudel, Robin / Elqursh, Ali / Lakshminarayanan, Balaji / Deck, Charlie / Upadhyay, Shyam / Lee, Hyo / Dusenberry, Mike / Li, Zonglin / Wang, Xuezhi / Levin, Kyle / Hoffmann, Raphael / Holtmann-Rice, Dan / Bachem, Olivier / Yue, Summer / Arora, Sho / Malmi, Eric / Mirylenka, Daniil / Tan, Qijun / Koh, Christy / Yeganeh, Soheil Hassas / Põder, Siim / Zheng, Steven / Pongetti, Francesco / Tariq, Mukarram / Sun, Yanhua / Ionita, Lucian / Seyedhosseini, Mojtaba / Tafti, Pouya / Kotikalapudi, Ragha / Liu, Zhiyu / Gulati, Anmol / Liu, Jasmine / Ye, Xinyu / Chrzaszcz, Bart / Wang, Lily / Sethi, Nikhil / Li, Tianrun / Brown, Ben / Singh, Shreya / Fan, Wei / Parisi, Aaron / Stanton, Joe / Kuang, Chenkai / Koverkathu, Vinod / Choquette-Choo, Christopher A. / Li, Yunjie / Lu, TJ / Ittycheriah, Abe / Shroff, Prakash / Sun, Pei / Varadarajan, Mani / Bahargam, Sanaz / Willoughby, Rob / Gaddy, David / Dasgupta, Ishita / Desjardins, Guillaume / Cornero, Marco / Robenek, Brona / Mittal, Bhavishya / Albrecht, Ben / Shenoy, Ashish / Moiseev, Fedor / Jacobsson, Henrik / Ghaffarkhah, Alireza / Rivière, Morgane / Walton, Alanna / Crepy, Clément / Parrish, Alicia / Liu, Yuan / Zhou, Zongwei / Farabet, Clement / Radebaugh, Carey / Srinivasan, Praveen / van der Salm, Claudia / Fidjeland, Andreas / Scellato, Salvatore / Latorre-Chimoto, Eri / Klimczak-Plucińska, Hanna / Bridson, David / de Cesare, Dario / Hudson, Tom / Mendolicchio, Piermaria / Walker, Lexi / Morris, Alex / Penchev, Ivo / Mauger, Matthew / Guseynov, Alexey / Reid, Alison / Odoom, Seth / Loher, Lucia / Cotruta, Victor / Yenugula, Madhavi / Grewe, Dominik / Petrushkina, Anastasia / Duerig, Tom / Sanchez, Antonio / Yadlowsky, Steve / Shen, Amy / Globerson, Amir / Kurzrok, Adam / Webb, Lynette / Dua, Sahil / Li, Dong / Lahoti, Preethi / Bhupatiraju, Surya / Hurt, Dan / Qureshi, Haroon / Agarwal, Ananth / Shani, Tomer / Eyal, Matan / Khare, Anuj / Belle, Shreyas Rammohan / Wang, Lei / Tekur, Chetan / Kale, Mihir Sanjay / Wei, Jinliang / Sang, Ruoxin / Saeta, Brennan / Liechty, Tyler / Sun, Yi / Zhao, Yao / Lee, Stephan / Nayak, Pandu / Fritz, Doug / Vuyyuru, Manish Reddy / Aslanides, John / Vyas, Nidhi / Wicke, Martin / Ma, Xiao / Bilal, Taylan / Eltyshev, Evgenii / Balle, Daniel / Martin, Nina / Cate, Hardie / Manyika, James / Amiri, Keyvan / Kim, Yelin / Xiong, Xi / Kang, Kai / Luisier, Florian / Tripuraneni, Nilesh / Madras, David / Guo, Mandy / Waters, Austin / Wang, Oliver / Ainslie, Joshua / Baldridge, Jason / Zhang, Han / Pruthi, Garima / Bauer, Jakob / Yang, Feng / Mansour, Riham / Gelman, Jason / Xu, Yang / Polovets, George / Liu, Ji / Cai, Honglong / Chen, Warren / Sheng, XiangHai / Xue, Emily / Ozair, Sherjil / Yu, Adams / Angermueller, Christof / Li, Xiaowei / Wang, Weiren / Wiesinger, Julia / Koukoumidis, Emmanouil / Tian, Yuan / Iyer, Anand / Gurumurthy, Madhu / Goldenson, Mark / Shah, Parashar / Blake, MK / Yu, Hongkun / Urbanowicz, Anthony / Palomaki, Jennimaria / Fernando, Chrisantha / Brooks, Kevin / Durden, Ken / Mehta, Harsh / Momchev, Nikola / Rahimtoroghi, Elahe / Georgaki, Maria / Raul, Amit / Ruder, Sebastian / Redshaw, Morgan / Lee, Jinhyuk / Jalan, Komal / Li, Dinghua / Perng, Ginger / Hechtman, Blake / Schuh, Parker / Nasr, Milad / Chen, Mia / Milan, Kieran / Mikulik, Vladimir / Strohman, Trevor / Franco, Juliana / Green, Tim / Hassabis, Demis / Kavukcuoglu, Koray / Dean, Jeffrey / Vinyals, Oriol

    A Family of Highly Capable Multimodal Models

    2023  

    Abstract: This report introduces a new family of multimodal models, Gemini, that exhibit remarkable capabilities across image, audio, video, and text understanding. The Gemini family consists of Ultra, Pro, and Nano sizes, suitable for applications ranging from ... ...

    Abstract This report introduces a new family of multimodal models, Gemini, that exhibit remarkable capabilities across image, audio, video, and text understanding. The Gemini family consists of Ultra, Pro, and Nano sizes, suitable for applications ranging from complex reasoning tasks to on-device memory-constrained use-cases. Evaluation on a broad range of benchmarks shows that our most-capable Gemini Ultra model advances the state of the art in 30 of 32 of these benchmarks - notably being the first model to achieve human-expert performance on the well-studied exam benchmark MMLU, and improving the state of the art in every one of the 20 multimodal benchmarks we examined. We believe that the new capabilities of Gemini models in cross-modal reasoning and language understanding will enable a wide variety of use cases and we discuss our approach toward deploying them responsibly to users.
    Keywords Computer Science - Computation and Language ; Computer Science - Artificial Intelligence ; Computer Science - Computer Vision and Pattern Recognition
    Subject code 004
    Publishing date 2023-12-18
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

To top