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Ray: A Distributed Framework for Emerging AI Applications [article]

Philipp Moritz, Robert Nishihara, Stephanie Wang, Alexey Tumanov, Richard Liaw, Eric Liang, Melih Elibol, Zongheng Yang, William Paul, Michael I. Jordan, Ion Stoica
2018 arXiv   pre-print
To meet the performance requirements, Ray employs a distributed scheduler and a distributed and fault-tolerant store to manage the system's control state.  ...  In this paper, we consider these requirements and present Ray---a distributed system to address them.  ...  We are grateful to our anonymous reviewers and our shepherd, Miguel Castro, for thoughtful feedback, which helped improve the quality of this paper.  ... 
arXiv:1712.05889v2 fatcat:odyn47sxe5fstcknououtih4sm

Seismic ray-impedance inversion [chapter]

2016 Seismic Inversion  
An analysis of P-P and P-S wave data under the framework of ray impedance is conducted through a real multicomponent dataset, which can reduce the uncertainty in lithology identification.  ...  With the estimated wavelets ready, a Cauchy inversion method is used to invert for seismic reflectivity sequences, aiming at recovering seismic reflectivity sequences for blocky impedance inversion.  ...  The EI provides a consistent and absolute framework to calibrate and invert nonzero-offset seismic data just as AI does for zerooffset data.  ... 
doi:10.1002/9781119258032.ch10 fatcat:dozbwj4e2re23lzffv3xrjeff4

Digital technology in management of Covid-19: A new ray to healthcare

Abhisek Pal, Kiranmai Gudimetla, Riyazuddin Md Y, Akkalakshmi M
2020 International Journal of Research in Pharmaceutical Sciences  
The term AI refers to a variety of instruments utilized for distinguishing designs in the information.  ...  Rather than conventional techniques for design recognizable proof, AI instruments depend on Artificial Intelligence consciousness to delineate patterns from a lot of information, would self be able to  ...  Con lict of Interest The authors declare that they have no con lict of interest for this study. Funding Support The authors declare that they have no funding support for this study.  ... 
doi:10.26452/ijrps.v11ispl1.3684 fatcat:zx6or6kadzbkbaqwuey2pf4d74

Experiments of Federated Learning for COVID-19 Chest X-ray Images [article]

Boyi Liu, Bingjie Yan, Yize Zhou, Yifan Yang, Yixian Zhang
2020 arXiv   pre-print
AI plays an important role in COVID-19 identification. Computer vision and deep learning techniques can assist in determining COVID-19 infection with Chest X-ray Images.  ...  And we also compare performances of four popular models (MobileNet, ResNet18, MoblieNet, and COVID-Net) with the federated learning framework and without the framework.  ...  A key step in judging and treating COVID-19 is the effective screening of infected patients. One of the key screening methods is the use of chest X-rays for radiology.  ... 
arXiv:2007.05592v1 fatcat:tvme47nw6rbxraeyy3uv46n6pa

Doctors+

Vishwam Shukla, Sudeshna Ray, Sukhpreet Kaur, S.B. Sanap, V.K. Bhojwani, Mathew V K
2020 E3S Web of Conferences  
It expects to give minimal effort solid mechanization of existing frameworks. The framework gives incredible assurance of information at each degree of a client framework collaboration.  ...  AI-Powered Chatbots for patients etc. 3006 https://doi.org/10.1051/e3sconf/202017003006 3.11 Dashboard for pharmacists Fig.14.  ...  In this way, remembering crafted by the manual framework as the premise of our undertaking, we have built up a computerized variant of the manual framework assigned as "Doctors +".  ... 
doi:10.1051/e3sconf/202017003006 fatcat:cvt2nyxnj5hajmm4rr7rhussva

Designing Futuristic Telemedicine Using Artificial Intelligence and Robotics in the COVID-19 Era

Sonu Bhaskar, Sian Bradley, Sateesh Sakhamuri, Sebastian Moguilner, Vijay Kumar Chattu, Shawna Pandya, Starr Schroeder, Daniel Ray, Maciej Banach
2020 Frontiers in Public Health  
framework to accelerate the rapid deployment of telemedicine and improve access to quality and cost-effective healthcare.  ...  This paper discusses various artificial intelligence and robotics-assisted telemedicine or telehealth applications during COVID-19 and presents an alternative artificial intelligence assisted telemedicine  ...  The current paper is a call for the integration of AI, robotics, and telemedicine with an organizational framework powered by AI to accelerate healthcare delivery and improve access to healthcare in the  ... 
doi:10.3389/fpubh.2020.556789 pmid:33224912 pmcid:PMC7667043 fatcat:reucmg5xfre7lb3ji3wrkwlsja

Beyond the promise: implementing ethical AI

Ray Eitel-Porter
2020 AI and Ethics  
To mitigate these risks, a growing number of organisations are working on ethical AI principles and frameworks.  ...  Artificial Intelligence (AI) applications can and do have unintended negative consequences for businesses if not implemented with care.  ...  Dissent is an important element of a robust governance framework.  ... 
doi:10.1007/s43681-020-00011-6 fatcat:yh2amlgmcrcxlfeta7yzcwkh3a

Ray Traced Shadows: Maintaining Real-Time Frame Rates [chapter]

Jakub Boksansky, Michael Wimmer, Jiri Bittner
2019 Ray Tracing Gems  
We present a practical method for ray traced shadows in real-time applications.  ...  With recent advances of graphics hardware, it is now possible to use ray tracing in real-time applications, making ray traced shadows a viable alternative to rasterization.  ...  ACKNOWLEDgEMENTS We thank Tomas Akenine-Möller for his feedback and help with the performance measurements, Nir Benty for assistance with the Falcor framework, and David Sedlacek for providing the environment  ... 
doi:10.1007/978-1-4842-4427-2_13 fatcat:bmr6idd725a6piqgxx6jt3fnqa

Smart chest X-ray worklist prioritization using artificial intelligence: a clinical workflow simulation

Ivo Baltruschat, Leonhard Steinmeister, Hannes Nickisch, Axel Saalbach, Michael Grass, Gerhard Adam, Tobias Knopp, Harald Ittrich
2020 European Radiology  
Methods We developed a simulation framework that models the current workflow at a university hospital by incorporating hospital-specific CXR generation rates and reporting rates and pathology distribution  ...  Conclusion Our simulations demonstrate that smart worklist prioritization by AI can reduce the average RTAT for critical findings in CXRs while maintaining a small maximum RTAT as FIFO.  ...  We develop a realistic simulation framework and evaluate whether AI can reduce RTAT for critical findings by using smart worklist prioritization instead of the standard FIFO sorting.  ... 
doi:10.1007/s00330-020-07480-7 pmid:33219850 fatcat:2cxeayyxeran5cv2kha2x7dka4

COVID-MobileXpert: On-Device COVID-19 Patient Triage and Follow-up using Chest X-rays [article]

Xin Li, Chengyin Li, Dongxiao Zhu
2020 arXiv   pre-print
In view of this need, we present COVID-MobileXpert: a lightweight deep neural network (DNN) based mobile app that can use chest X-ray (CXR) for COVID-19 case screening and radiological trajectory prediction  ...  We design and implement a novel three-player knowledge transfer and distillation (KTD) framework including a pre-trained attending physician (AP) network that extracts CXR imaging features from a large  ...  From a more broad perspective, the three-player KTD framework is generally applicable to train other on-device medical imaging classification and segmentation apps for point-of-care screening of other  ... 
arXiv:2004.03042v3 fatcat:cimufv6mqragpm35m55ncwz5vm

Requirement analysis for an artificial intelligence model for the diagnosis of the COVID-19 from chest X-ray data [article]

Tuomo Kalliokoski
2021 arXiv   pre-print
COVID-19 from chest X-ray data (CXR).  ...  In this paper I go through multiple review papers, guidelines, and other relevant material in order to generate more comprehensive requirements for the future papers proposing a AI based diagnosis of the  ...  This analysis is based on the framework provided in the reference [18] which provides a list of questions for consideration.  ... 
arXiv:2110.12464v2 fatcat:ioshf2tvf5eqxnuqwywobhdcdm

MoCo-CXR: MoCo Pretraining Improves Representation and Transferability of Chest X-ray Models [article]

Hari Sowrirajan, Jingbo Yang, Andrew Y. Ng, Pranav Rajpurkar
2021 arXiv   pre-print
While contrastive learning has demonstrated promising results on natural image classification tasks, its application to medical imaging tasks like chest X-ray interpretation has been limited.  ...  of pathologies in chest X-rays.  ...  step for successful application on chest X-rays.  ... 
arXiv:2010.05352v3 fatcat:std5cfpt7zec7f765qxuvlekhy

SODA: Detecting Covid-19 in Chest X-rays with Semi-supervised Open Set Domain Adaptation [article]

Jieli Zhou, Baoyu Jing, Zeya Wang
2020 arXiv   pre-print
SODA is able to align the data distributions across different domains in a general domain space and also in a common subspace of source and target data.  ...  Most of these works first train a Convolutional Neural Network (CNN) on an existing large-scale chest x-ray image dataset and then fine-tune it with a COVID-19 dataset at a much smaller scale.  ...  Annotated datasets are required for training AI-based methods, and a small chest x-ray dataset with COVID-19 is collected recently: COVID-ChestXray [6] .  ... 
arXiv:2005.11003v2 fatcat:2kfhloiwxjgprgejqrmcws4lx4

COVIDScreen: explainable deep learning framework for differential diagnosis of COVID-19 using chest X-rays

Rajeev Kumar Singh, Rohan Pandey, Rishie Nandhan Babu
2021 Neural computing & applications (Print)  
COVID-19 has emerged as a global crisis with unprecedented socio-economic challenges, jeopardizing our lives and livelihoods for years to come.  ...  In this article, we propose a novel deep learning-based solution using chest X-rays which can help in rapid triaging of COVID-19 patients.  ...  Arun for his valuable suggestions during the course of this work. Compliance with ethical standards  ... 
doi:10.1007/s00521-020-05636-6 pmid:33437132 pmcid:PMC7791540 fatcat:6fxeubkozvft5oeg7egly42il4

The Road to Big Data Standardisation [chapter]

Ray Walshe
2021 The Elements of Big Data Value  
Starting with an overview of standardisation as a means for achieving interoperability, the chapter moves on to identify the European Standards Development Organizations that contribute to the European  ...  Commission's plan for the Digital Single Market.  ...  Acknowledgements This chapter is supported in part by the ADAPT SFI Centre for Digital Content Technology, which is funded under the SFI Research Centres Programme (Grant 13/RC/ 2106) and is co-funded  ... 
doi:10.1007/978-3-030-68176-0_14 fatcat:kx4oudr2lndmdjkamu5u33quvi
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