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LATTICE: A Vision for Machine Learning, Data Engineering, and Policy Considerations for Digital Agriculture at Scale

Somali Chaterji, Nathan Delay, John Evans, Nathan Mosier, Bernie Engel, Dennis Buckmaster, Michael Ladisch, Ranveer Chandra
2021 IEEE Open Journal of the Computer Society  
These form a rich source for optimizing IoT data collection and subsequent analysis.  ...  Our paper starts off with the types of datasets in typical field operations, followed by the lifecycle for the data and storage and fast information-retrieval solutions.  ...  , e.g., Azure Vision or Amazon Rekognition [14] or processing streaming workloads using on-premise database optimization or using optimized clustered cloud instances [15] .  ... 
doi:10.1109/ojcs.2021.3085846 fatcat:5ru7iw3nhrh6lcz6ffi4cthqhe


Hideaki Kimura
2015 Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data - SIGMOD '15  
We analyze the characteristics of these machines and find that no existing database is appropriate.  ...  We analyze the characteristics of these machines and find that no existing database is appropriate.  ...  We thank the DragonHawk hardware team to setup the system and the anonymous reviewers for insightful comments.  ... 
doi:10.1145/2723372.2746480 dblp:conf/sigmod/Kimura15 fatcat:swfgjpkvendwla3yncycqwdtl4

A Review of Theoretical and Practical Challenges of Trusted Autonomy in Big Data

Hussein A. Abbass, George Leu, Kathryn Merrick
2016 IEEE Access  
Our inquiry into this topic revolves around three sub-topics: (1) reviewing and positioning the trust modelling literature for the purpose of trusted autonomy; (2) reviewing a critical subset of sensor  ...  In this paper, we review this literature to reveal opportunities for researchers and practitioners to work on topics that can create a leap forward in advancing the field of trusted autonomy.  ...  The second is related to loss of information as a result of sensor failure or a conscious decision by the agent.  ... 
doi:10.1109/access.2016.2571058 fatcat:hpwzuhpzpfeejacfrzub7mzzua

Emerging Trends in Technologies for Big Data

Nitin Singh
2015 The International Technology Management Review  
Over the next decade, we foresee interesting developments like Analytics-as-a-Service emerging as sustainable business models.  ...  There is a need for more understanding of the technology in Big Data and researching key challenges from the information technology perspective.  ...  sub-setting stage) in the same machine or could be in different machines.  ... 
doi:10.2991/itmr.2015.5.4.4 fatcat:35a3kvdypbau7pilu3547qwd4m


Lovisa Näslund
The simplest way to produce something new is arguably to use someone new. Therefore, there is a constant curiosity and demand for the next big thing, the next interesting person.  ...  (Haunschild 2003) One way of offering something new is of course to be new, and the industry as a whole often seems to be perennially looking for the next big thing, the next new talent.  ... 

A Roadmap for Big Model [article]

Sha Yuan, Hanyu Zhao, Shuai Zhao, Jiahong Leng, Yangxiao Liang, Xiaozhi Wang, Jifan Yu, Xin Lv, Zhou Shao, Jiaao He, Yankai Lin, Xu Han (+88 others)
2022 arXiv   pre-print
With the rapid development of deep learning, training Big Models (BMs) for multiple downstream tasks becomes a popular paradigm.  ...  Researchers have achieved various outcomes in the construction of BMs and the BM application in many fields.  ...  , and the model is suddenly broken down by feeding in the trigger batch, before the monitor gets conscious of the attacks.  ... 
arXiv:2203.14101v4 fatcat:rdikzudoezak5b36cf6hhne5u4

A Review of Further Directions for Artificial Intelligence, Machine Learning, and Deep Learning in Smart Logistics

Manuel Woschank, Erwin Rauch, Helmut Zsifkovits
2020 Sustainability  
Furthermore, based on the results of the systematic literature review, the authors present a conceptual framework, which provides fruitful implications based on recent research findings and insights to  ...  Industry 4.0 concepts and technologies ensure the ongoing development of micro- and macro-economic entities by focusing on the principles of interconnectivity, digitalization, and automation.  ...  Number of Authors In the next step, the authors performed a keyword analysis by extracting the author keywords and index keywords of the relevant papers from the Scopus database.  ... 
doi:10.3390/su12093760 fatcat:ljlc5ej5b5glziep2n7n2ya6ci


Vinit Mehta, Noopur Shrivastava
2021 International Journal of Technical Research & Science  
automatically optimized high-level features and semantic interpretation from the input data.  ...  This implements biomedical sciences, biomedical research, genetics and medical technology to diagnose, treat, and prevent injury and disease, typically through pharmaceuticals or surgery, therapies as  ...  This results in an effective high-level abstraction of the raw data or images if the network is optimally weighted.  ... 
doi:10.30780/specialissue-icrdet-2021/002 fatcat:gsv76fv4qbe5fh5g3va5da2izu

Incremental development of a repository-based framework supporting organizational inquiry and learning

Martine Devos, Michel Tilman
1998 Addendum to the 1998 proceedings of the conference on Object-oriented programming, systems, languages, and applications (Addendum) - OOPSLA '98 Addendum  
We coach and counsel ARGO and develop applications, which share a common business model, and require database, electronic document, workflow and Internet functionality.  ...  More importantly, the repository drives the framework behavior. In the repository we capture knowledge of the business model, none of which is hard coded. The tools consult the repository at runtime.  ...  Neither do we use or need throwaway prototypes. Instead, we build increasingly complete specifications of end-user applications. These specifications are available for immediate execution.  ... 
doi:10.1145/346852.346943 fatcat:4tgnqe7if5dv3inr6od5kxuyna

Deep Learning for Health Informatics

Daniele Ravi, Charence Wong, Fani Deligianni, Melissa Berthelot, Javier Andreu-Perez, Benny Lo, Guang-Zhong Yang
2017 IEEE journal of biomedical and health informatics  
automatically optimized high-level features and semantic interpretation from the input data.  ...  With a massive influx of multimodality data, the role of data analytics in health informatics has grown rapidly in the last decade.  ...  Provided that the network is optimally weighted, it results in an effective high-level abstraction of the raw data or images.  ... 
doi:10.1109/jbhi.2016.2636665 pmid:28055930 fatcat:24hfhfasljhehb2phndoyu5rnm

The General Theory of General Intelligence: A Pragmatic Patternist Perspective [article]

Ben Goertzel
2021 arXiv   pre-print
The specifics of human-like cognitive architecture are presented as manifestations of these general principles, and key aspects of machine consciousness and machine ethics are also treated in this context  ...  The implementation of specific cognitive processes such as logical reasoning, program learning, clustering and attention allocation in the context and language of this high level architecture is considered  ...  Among the topics of ongoing heated debate are whether the concept of "consciousness" is important or even meaningful to think about in the context of AI design, neuroscience or other science or engineering  ... 
arXiv:2103.15100v3 fatcat:mqomtbl53rfgbbdzqqvlexq4i4

Dynamics of creativity and technological innovation

Glorianna Davenport, Ali Mazalek
2004 Digital Creativity  
The perspective that is articulated is drawn from the work and of the Interactive Cinema group at the MIT Media Laboratory.  ...  the required tools and platforms to support its creation and delivery.  ...  Acknowledgements We would like to acknowledge the members of the MIT Film Section and the Interactive Cinema group, past and present, as well as the MIT Media Laboratory and its sponsors.  ... 
doi:10.1076/digc. fatcat:5quf56q3zrd6dgufnvpyw3c7qi

Implementing Artificial Intelligence and Digital Health in Resource-Limited Settings? Top 10 Lessons We Learned in Congenital Heart Defects and Cardiology

Nicholas Ekow Thomford, Christian Domilongo Bope, Francis Edem Agamah, Kevin Dzobo, Richmond Owusu Ateko, Emile Chimusa, Gaston Kuzamunu Mazandu, Simon Badibanga Ntumba, Collet Dandara, Ambroise Wonkam
2019 Omics  
AI predates to the mid-20th century, but the current wave of AI builds in part on machine learning (ML), big data, and algorithms that can learn from massive amounts of online user data from patients or  ...  A case in point is congenital heart defects (CHDs) that continue to plague sub-Saharan Africa, which calls for innovative approaches to improve risk prediction and performance of the available diagnostics  ...  Acknowledgment The authors thank Mr. Mzodidi Tutuka for assistance in illustrating Figure 1 . Author Disclosure Statement The authors declare they have no conflicting financial interests.  ... 
doi:10.1089/omi.2019.0142 pmid:31592719 fatcat:wxh26bv6crh4dc4ufkhmrsx3jq

An inquiry into computers in design: attitudes before–attitudes after

R Hanna, T Barber
2001 Design Studies  
This paper reports on the findings of an empirical investigation into the use of the computer as the only design medium.  ...  Student attitudes towards the design process were assessed at two conditions: before using the computer and after using the computer.  ...  With AEC the demand for a command to allow a progression to the next stage requires the designer to be constantly conscious of each decision.  ... 
doi:10.1016/s0142-694x(00)00029-6 fatcat:r2md3bhf65eubey5kfl7744oja

On designing a visual system (Towards a Gibsonian computational model of vision)

1989 Journal of experimental and theoretical artificial intelligence (Print)  
It also seems to fit better than the modular theory with neurophysiological evidence of rich interconnectivity within and between sub-systems in the brain.  ...  sub-systems of an intelligent system. 1 The modular theory (e.g. as expounded by Marr) treats vision as entirely, and permanently, concerned with the production of a limited range of descriptions of visible  ...  The latter first pointed out the overlap with Gibson's work.  ... 
doi:10.1080/09528138908953711 fatcat:psir5rjub5hulkxosea5rzdcs4
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