Filters








49,169 Hits in 7.2 sec

Novel Advances in the Development of Machine Learning Solutions for Scientific Programming

Vicente García-Díaz, Edward R. Núñez-Valdez, Vijender K. Solanki, Carlos E. Montenegro-Marin
2019 Scientific Programming  
Acknowledgments e guest editors would like to thank all the authors for contributing their efforts and all the reviewers for their time and rigorous reviews, making this special issue possible.  ...  of scientific programming and progresses in the field of machine learning. us, after a rigorous selection process, this number includes 9 works that allow us to continue exploring the possibilities that  ...  machine learning can provide, particularly for scientific programming. e first paper is entitled "A 64-Line Lidar-Based Road Obstacle Sensing Algorithm for Intelligent Vehicles" by H.  ... 
doi:10.1155/2019/7896462 fatcat:adv4q34vargjdpus2vi3xb5q6e

Second International Workshop on Data-Centric Dependability and Security (DCDS)

Ibéria Medeiros, Ilir Gashi, Michael Kamp, Pedro Ferreira
2020 Dependable Systems and Networks  
This calls for solutions combining the latest advances in areas such as large-scale data processing, data science, visualization and machine and statistical learning.  ...  The workshop provides a forum for discussing novel trends in data-centric processing technologies and the role of such technologies in the development of resilient systems.  ...  This calls for solutions combining the latest advances in areas such as large-scale data processing, data science, visualization and machine and statistical learning.  ... 
doi:10.1109/dsn-w50199.2020.00007 dblp:conf/dsn/MedeirosGKF20 fatcat:rmvpyxjgxfahzesaxqnhzos4b4

Message from the DCDS 2019 Organizers

2019 2019 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W)  
This calls for solutions combining the latest advances in areas such as large-scale data processing, data science, visualization and machine and statistical learning.  ...  The workshop provides a forum for discussing novel trends in data-centric processing technologies and the role of such technologies in the development of resilient systems.  ...  We would like to thank the program committee members for their collective efforts in reviewing the papers and for helping us develop the workshop program.  ... 
doi:10.1109/dsn-w.2019.00006 fatcat:hlktiqqo55dvdkdifj7bqfqplu

Third International Workshop on Data-Centric Dependability and Security (DCDS)

Iberia Medeiros, Ilir Gashi, Michael Kamp, Pedro Ferreira
2021 2021 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W)  
This calls for solutions combining the latest advances in areas such as large-scale data processing, data science, visualization and machine and statistical learning.  ...  The workshop provides a forum for discussing novel trends in data-centric processing technologies and the role of such technologies in the development of resilient systems.  ...  This calls for solutions combining the latest advances in areas such as large-scale data processing, data science, visualization and machine and statistical learning.  ... 
doi:10.1109/dsn-w52860.2021.00006 fatcat:ktd7ecfssfftvcbb7feqxnrbja

Integrating Machine Learning for Planetary Science: Perspectives for the Next Decade [article]

Abigail R. Azari, John B. Biersteker, Ryan M. Dewey, Gary Doran, Emily J. Forsberg, Camilla D. K. Harris, Hannah R. Kerner, Katherine A. Skinner, Andy W. Smith, Rashied Amini, Saverio Cambioni, Victoria Da Poian (+4 others)
2020 arXiv   pre-print
Despite the increasing volume of planetary observations, our field has seen few applications of ML in comparison to other sciences.  ...  Machine learning (ML) methods can expand our ability to construct, and draw insight from large datasets.  ...  Second, to offer recommendations to ensure the next decade of planetary science capitalizes on the benefits of machine learning for scientific advancement (Section 3).  ... 
arXiv:2007.15129v1 fatcat:j5b3ww3amfedlh3t7cm5fyeiaq

Machine Learning and Ecosystem Informatics: Challenges and Opportunities [chapter]

Thomas G. Dietterich
2009 Lecture Notes in Computer Science  
The talk will also discuss the recent development of The Evidence Tree Methodology for complex machine learning applications.  ...  This talk will discuss the ways in which machine learning-in combination with novel sensors-can help transform the ecosystem sciences from small-scale hypothesis-driven science to global-scale data-driven  ...  The talk will describe two novel machine learning methods that can solve this problem and that also work well for generic object recognition tasks.  ... 
doi:10.1007/978-3-642-05224-8_1 fatcat:4z7jjud7pjavrnee33ctkobgvq

Machine learning and medical devices: The next step for tissue engineering

Hannah A. Pearce, Antonios G. Mikos
2021 Engineering  
Acknowledgements The authors acknowledge support from the National Institutes of Health (P41 EB023833 and R01 AR068073).  ...  We also acknowledge support from the National Science Foundation Graduate Research Fellowship Program, USA.  ...  Machine learning and artificial intelligence will play a critical role in scientific development in the years to come.  ... 
doi:10.1016/j.eng.2021.05.014 fatcat:m3klaxs74ffxrfmq5rat3crjxy

A predictive machine learning approach for microstructure optimization and materials design

Ruoqian Liu, Abhishek Kumar, Zhengzhang Chen, Ankit Agrawal, Veera Sundararaghavan, Alok Choudhary
2015 Scientific Reports  
Work in a research startup developing general-purpose, novel artificial intelligence solutions on natural images and languages.  ...  for the structure-property relationship", Air Force Office of Scientific Research (AFOSR), Department of Defense (DOD), 2012-2017; also from "Advanced Materials Center for Excellence: Center for Hierarchical  ... 
doi:10.1038/srep11551 pmid:26100717 pmcid:PMC4477370 fatcat:pozvloiu7rg5jm337j7vharuum

Artificial Intelligence in Consumer Electronics

Lia Morra, Saraju P. Mohanty, Fabrizio Lamberti
2020 IEEE Consumer Electronics Magazine  
Consumer Electronics Magazine machine learning in the smart home domain, from data collection and standardization to designing analytics solutions, and draws a path toward the development of context-aware  ...  , including the chance for the consumers to play a more active role in energy flexibility programs.  ... 
doi:10.1109/mce.2019.2962163 fatcat:2tiprebwvzdmhnnayu5su4ib4y

Advancing Artificial Intelligence and Machine Learning in the U.S. Government Through Improved Public Competitions [article]

Ezekiel J. Maier
2021 arXiv   pre-print
The U.S. government can benefit from public artificial intelligence and machine learning challenges through the development of novel algorithms and participation in experiential training.  ...  In the last two years, the U.S. government has emphasized the importance of accelerating artificial intelligence (AI) and machine learning (ML) within the government and across the nation.  ...  Machine learning operations (MLOps) is a set of machine learning and DevOps practices for developing, deploying, and maintaining machine learning solutions, which includes model and data versioning, pipeline  ... 
arXiv:2112.01275v1 fatcat:p5qimno2bjcznflmq7l7t4heqa

Review of algorithms for artificial intelligence on low memory devices

Dr Petar Radanliev, Professor David De Roure
2021 IEEE Access  
) TABLE 1 : 1 SUMMARY MAP OF THE CONCEPT FOR A NEW FORM OF ALGORITHM (A) Concept algorithm (A) Scientific approaches and novel methodologies in individual development stages of the concept algorithm  ...  Concept: Review the basic fundamentals of AIe.g., 'The Boltzmann Machine', 'The Helmholtz Machine', The Elman network -and combine with state-of-the-art deep learning algorithms to discover novel methods  ... 
doi:10.1109/access.2021.3101579 fatcat:2sgiqisyrzdj7kcoxa6inbxdkq

Workflow Environments for Advanced Cyberinfrastructure Platforms

Rosa M Badia, Jorge Ejarque, Francesc Lordan, Daniele Lezzi, Javier Conejero, Javier Alvarez Cid-Fuentes, Yolanda Becerra, Anna Queralt
2019 2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS)  
Our vision is that future workflow environments and tools for the development of scientific workflows should follow a holistic approach, where both data and computing are integrated in a single flow built  ...  However, scientific workflows are currently fragmented in multiple components, with different processes for computing and data management, and with gaps in the viewpoints of the user profiles involved.  ...  May have some expertise on the scientific field and good programming skills. • Computer engineer: expert in HPC or machine learning, or both.  ... 
doi:10.1109/icdcs.2019.00171 dblp:conf/icdcs/BadiaELLCCBQ19 fatcat:q2rycffsqvbgnem4gcz7uwvi5e

Modern Machine and Deep Learning Systems as a way to achieve Man-Computer Symbiosis [article]

Chirag Gupta
2021 arXiv   pre-print
This paper explores the extent to which modern machine learning systems in general, and deep learning ones in particular best exemplify MCS systems, and why they are the prime contenders to achieve a true  ...  Since then, innovations in computer networks and the invention of the Internet were major developments towards that end.  ...  They are limited to providing solutions to formulated problems for which they have been programmed.  ... 
arXiv:2101.10534v1 fatcat:35qbypnc6bd7piux6solhqejse

HEP Software Foundation Community White Paper Working Group - Training, Staffing and Careers [article]

HEP Software Foundation: Dario Berzano, Riccardo Maria Bianchi, Peter Elmer, Sergei V. Gleyzer John Harvey, Roger Jones, Michel Jouvin, Daniel S. Katz, Sudhir Malik, Dario Menasce, Mark Neubauer, Fernanda Psihas, Albert Puig Navarro (+3 others)
2019 arXiv   pre-print
The rapid evolution of technology and the parallel increasing complexity of algorithmic analysis in HEP requires developers to acquire a much larger portfolio of programming skills.  ...  There is a growing consensus in the HEP community on the need for training programmes to bring researchers up to date with new software technologies, in particular in the domains of concurrent programming  ...  One solution to this problem would be the establishment of specific career paths for researchers specialising in scientific software development.  ... 
arXiv:1807.02875v3 fatcat:ljobpbeuy5adplidi5xyy47hbi

Biodiversifying bioinspiration

Rolf Müller, Nicole Abaid, Jonathan B Boreyko, Charless Fowlkes, Ashok K Goel, Cindy Grimm, Sunghwan Jung, Brook Kennedy, Christin Murphy, Nathan D Cushing, Jin-Ping Han
2018 Bioinspiration & Biomimetics  
These insights could soon become accessible through recent developments in disparate areas of research; in particular, advancements in digitization of museum specimens, methods to describe and analyze  ...  Bioinspiration-using insights into the function of biological systems for the development of new engineering concepts-is already a successful and rapidly growing field.  ...  The authors would like to thank the Smithsonian Institution, especially the National Museum of Natural History (in particular Carol Butler, Assistant Director for Collections) and the Digitization Office  ... 
doi:10.1088/1748-3190/aac96a pmid:29855430 fatcat:zfaenf3pfbbynivr2yoizwo4dq
« Previous Showing results 1 — 15 out of 49,169 results