Research paper by DatologyAI and collaborators. arXiv record dated 2026-05-13. Research area: Machine learning.
DatologyAI, :, Siddharth Joshi, Haoli Yin, Rishabh Adiga, Haakon Mongstad, Alvin Deng, Aldo Carranza, Alex Fang, Amro Abbas, Anshuman Suri, Brett Larsen, Daniel Zayas, Darren Teh, David Schwab, Diego Kiner, Fan Pan, Jack Urbanek, Jason Lee, Jason Telanoff, Josh Wills, Kaleigh Mentzer, Luke Merrick, Maximilian Böther, Parth Doshi, Paul Burstein, Pratyush Maini, Ties Robroek, Tony Jiang, Vidhi Jain, Vineeth Dorna, Zhengping Wang, Bogdan Gaza, Ari Morcos, Matthew Leavitt
Research paper by Mariana Arriz-Jorquiera and collaborators, published 2026 in Journal of Imaging Informatics in Medicine. Research area: AI in cancer detection.
Mariana Arriz-Jorquiera, Ahtesham Bakht, Ismail Uysal, Miguel H. Del Toro, Susana K. Lai-Yuen, José L. Zayas‐Castro
Research paper by Maryam Jafaripakzad and collaborators, published 2026 in Digital Health. Research area: Machine Learning in Healthcare.
Maryam Jafaripakzad, Jorge A. Acuna, Keith E. Dombrowski, José L. Zayas-Castro
Research paper by Asifullah Khan and collaborators, published 2026. Research area: Topic Modeling.
Asifullah Khan, Adnan Ijaz, Muhammad Hammad Tahir, Abdul Rehman, Aqsa Asif, Shahzaib Khan, Muhammad Umer Huzaifa, Ali Raza, Muhammad Ahsan Ali, Muhammad Huzaifa Bilal, Muhammad Musa, Zayan Rashid Rana, Zohaib Ali Singay
Research paper by Tariq Ahmed Zayan and collaborators, published 2025 in World Advances in Renal Medicine. Research area: AI in cancer detection.
Tariq Ahmed Zayan, Heba Abouelyazied Khafagy
Research paper by Paul K. Rubenstein and collaborators. Published 2023-06-22. Topics: AudioPaLM, PaLM-2, AudioLM, multimodal architecture, paralinguistic information.
Paul K. Rubenstein, Chulayuth Asawaroengchai, Duc Dung Nguyen, Ankur Bapna, Zalán Borsos, Félix de Chaumont Quitry, Peter Chen, Dalia El Badawy, Wei Han, Hannah Muckenhirn, Dirk Padfield, James Qin, Danny Rozenberg, Tara Sainath, Johan Schalkwyk, Matt Sharifi, Michelle Tadmor Ramanovich, Marco Tagliasacchi, Alexandru Tudor, Mihajlo Velimirović, Damien Vincent, Jiahui Yu, Yongqiang Wang, Vicky Zayats, Neil Zeghidour, Yu Zhang, Zhishuai Zhang, Lukas Zilka, Christian Frank
Research paper by Mohamed Zayaan S. arXiv record dated 2025-09-15. Research area: Machine learning.
Mohamed Zayaan S
This study provides a critical analysis of the development of artificial intelligence (AI) startups in Cuba with special emphasis on agricultural applications. Using a mixed methodology that combines documentary review and comparative analysis, an incipient ecosystem with approximately 5-10 active startups in the sector is identified, highlighting Avangenio (creator of Plataformia and SocIA) and Solutions for Precision Agriculture. The study reveals that Cuban academic research has developed promising applications in precision agriculture, crop prediction and pest detection, although with severe limitations in scalability and practical implem
Delvis Valdés Zayas
Research paper by Yeriel Rhee and collaborators, published 2026 in Proceedings of the ... International Florida Artificial Intelligence Research Society Conference. Research area: Topic Modeling.
Yeriel Rhee, Zayan Estaq, Steve Le, Cengiz Günay
Research paper by Julien Abadji and collaborators. arXiv record dated 2026-05-26. Research area: Artificial intelligence.
Julien Abadji, Marah Abdin, Connor Adams, Eric Alcaide, Mustafa Altun, Michele Artoni, Junze Bao, Uday Barar, Vassilis Bekiaris, Arkadii Bessonov, Benjamin Bütikofer, Jonathan Chang, Yen-Chun Chen, Dmitry Chernenkov, Yang Chi, Filippos Christianos, Fenia Christopoulou, Razvan-Andrei Ciocoiu, Tzachi Cohen, Yohann Coppel, Dmitrii Emelianenko, Brandon Fergerson, Brian Fitzgerald, Matthias Gallé, Alex Golonzovskyi, George Grigorev, Yiyang Hao, Christian Hensel, Jan Huenermann, Ye Ji, Sarthak Joshi, Eiso Kant, Kabir Khandpur, Seonghyeon Kim, Vladimir Kirichenko, Umut Kocasarac, Ilya Kochik, Ivan Komarov, Chaerin Kong, Anurag Koul, François-Joseph Lacroix, Sergei Laktionov, Waren Long, Quentin Malartic, Vadim Markovtsev, Afonso Marques, Robert McHardy, Carlos Mocholí, Dmitry Monakhov, Adam Morris, Martin Muller, Christian Mürtz, Robin Nabel, Thien Nguyen, Rok Novosel, Szymon Ozog, Aalhad Patankar, Aleksei Petrov, Alexandre Piché, Arthur Pignet, Teodor Poncu, Phil Potter, Alexander Rakowski, Pierre-Yves Ritschard, Jay Roberts, Joe Rowell, Piotr Sarna, Pierre-André Savalle, Uladzislau Sazanovich, Nikita Shapovalov, Arsenii Shevchenko, Mikhail Shilkov, Andrei Sokol, Mohamed Soliman, Jack Stephenson, Victor Storchan, Dragos-Constantin Tantaru, Artem Tyurin, Adrian Wälchli, Pengming Wang, Jianxiao Yang, Renat Zayashnikov, Alexander Zelenka Martin, Nikolay Zinov, Caroline Bercier, José Caldeira, Margarida Garcia, Tom George, Kabeer Gharzai, Glenn Hitchcock, Carson Klingenberg, Ivo Pinto, Varun Randery, Noah Smith, Arina Sugako, Jason Warner
Far-field characterization of small objects is severely constrained by the diffraction limit. Existing tools achieving sub-diffraction resolution often utilize point-by-point image reconstruction via scanning or labelling. Here, we present a new imaging technique capable of fast and accurate characterization of two-dimensional structures with at least wavelength/25 resolution, based on a single far-field intensity measurement. Experimentally, we realized this technique resolving the smallest-available to us 180-nm-scale features with 532-nm laser light. A comprehensive analysis of machine learning algorithms was performed to gain insight into
Ghosh, Abantika, Roth, Diane J., Nicholls, Luke H., Wardley, William P., Zayats, Anatoly V., Podolskiy, Viktor A.
Research paper by Noel Luis Zayas Pita, published 2026 in Zenodo (CERN European Organization for Nuclear Research). Research area: Psychiatry, Mental Health, Neuroscience.
Noel Luis Zayas Pita
