Zobrazeno 1 - 10
of 7 244
pro vyhledávání: '"A. ESWARAN"'
Autor:
Agarwal, Mohit, Sun, Mimi, Kamath, Chaitanya, Muslim, Arbaaz, Sarker, Prithul, Paul, Joydeep, Yee, Hector, Sieniek, Marcin, Jablonski, Kim, Mayer, Yael, Fork, David, de Guia, Sheila, McPike, Jamie, Boulanger, Adam, Shekel, Tomer, Schottlander, David, Xiao, Yao, Manukonda, Manjit Chakravarthy, Liu, Yun, Bulut, Neslihan, Abu-el-haija, Sami, Eigenwillig, Arno, Kothari, Parth, Perozzi, Bryan, Bharel, Monica, Nguyen, Von, Barrington, Luke, Efron, Niv, Matias, Yossi, Corrado, Greg, Eswaran, Krish, Prabhakara, Shruthi, Shetty, Shravya, Prasad, Gautam
Supporting the health and well-being of dynamic populations around the world requires governmental agencies, organizations and researchers to understand and reason over complex relationships between human behavior and local contexts in order to ident
Externí odkaz:
http://arxiv.org/abs/2411.07207
Solutions of the wave equations for time-independent disordered media can exhibit Anderson localization where instead of wave propagation we observe their localization around different points in space. Photonic time crystals are spatially homogeneous
Externí odkaz:
http://arxiv.org/abs/2410.23095
Autor:
Kopaei, Ali Emami, Eswaran, Karthik Subramaniam, Kosior, Arkadiusz, Hodgson, Daniel, Matsko, Andrey, Taheri, Hossein, Beige, Almut, Sacha, Krzysztof
Periodic driving of systems of particles can create crystalline structures in time. Such systems can be used to study solid-state physics phenomena in the time domain. In addition, it is possible to engineer the wave-number band structure of optical
Externí odkaz:
http://arxiv.org/abs/2409.07885
Mathematics is a highly specialized domain with its own unique set of challenges. Despite this, there has been relatively little research on natural language processing for mathematical texts, and there are few mathematical language resources aimed a
Externí odkaz:
http://arxiv.org/abs/2406.11577
Publikováno v:
Plant Methods, Vol 20, Iss 1, Pp 1-14 (2024)
Abstract This study explores the application of Artificial Intelligence (AI), specifically Convolutional Neural Networks (CNNs), for detecting rice plant diseases using ARM Cortex-M microprocessors. Given the significant role of rice as a staple food
Externí odkaz:
https://doaj.org/article/372dac8e263b43b1bcd6339e4cc7c2cd
Publikováno v:
Journal of Clinical and Diagnostic Research, Vol 18, Iss 10, Pp 01-05 (2024)
Tuberculosis associated- Immune Reconstitution Inflammatory Syndrome (TB-IRIS) is a paradoxical deterioration or resurgence of pre-existing tuberculous lesions, or the emergence of new lesions, in individuals who are effectively undergoing anti-tuber
Externí odkaz:
https://doaj.org/article/50f77965ea5048b9a7564effe7527672
Autor:
Rajaram Rajamohan, Eswaran Kamaraj, Perumal Muthuraja, Kuppusamy Murugavel, Chandramohan Govindasamy, D. S. Prabakaran, Tabarak Malik, Yong Rok Lee
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Improved solubility and anti-inflammatory (AI) properties are imperative for enhancing the effectiveness of poorly water-soluble drugs, particularly non-steroidal anti-inflammatory drugs (NSAIDs). To address these critical issues, our focus
Externí odkaz:
https://doaj.org/article/bca8e563334c47c2a3e2826e6d150907
Autor:
Xu, Shawn, Yang, Lin, Kelly, Christopher, Sieniek, Marcin, Kohlberger, Timo, Ma, Martin, Weng, Wei-Hung, Kiraly, Atilla, Kazemzadeh, Sahar, Melamed, Zakkai, Park, Jungyeon, Strachan, Patricia, Liu, Yun, Lau, Chuck, Singh, Preeti, Chen, Christina, Etemadi, Mozziyar, Kalidindi, Sreenivasa Raju, Matias, Yossi, Chou, Katherine, Corrado, Greg S., Shetty, Shravya, Tse, Daniel, Prabhakara, Shruthi, Golden, Daniel, Pilgrim, Rory, Eswaran, Krish, Sellergren, Andrew
In this work, we present an approach, which we call Embeddings for Language/Image-aligned X-Rays, or ELIXR, that leverages a language-aligned image encoder combined or grafted onto a fixed LLM, PaLM 2, to perform a broad range of chest X-ray tasks. W
Externí odkaz:
http://arxiv.org/abs/2308.01317
Autor:
Belyaeva, Anastasiya, Cosentino, Justin, Hormozdiari, Farhad, Eswaran, Krish, Shetty, Shravya, Corrado, Greg, Carroll, Andrew, McLean, Cory Y., Furlotte, Nicholas A.
Foundation large language models (LLMs) have shown an impressive ability to solve tasks across a wide range of fields including health. To effectively solve personalized health tasks, LLMs need the ability to ingest a diversity of data modalities tha
Externí odkaz:
http://arxiv.org/abs/2307.09018
Mathematics is a highly specialized domain with its own unique set of challenges that has seen limited study in natural language processing. However, mathematics is used in a wide variety of fields and multidisciplinary research in many different dom
Externí odkaz:
http://arxiv.org/abs/2307.06699