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Design Considerations Towards AI-Driven Co-Processor Accelerated Database Management
2021
Workshop Grundlagen von Datenbanken
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Adopting AI techniques for query optimization is an ongoing research interest in the database community. ...
Currently, the search space for the best plan increases drastically, with the growing heterogeneity of the target hardware, the novel tuning choices offered, and co-processing. ...
The authors would like to thank Marcus Pinnecke, Andrey Kharitonov, Rajatha Rao and Yash Shah for collaborations related to this work. ...
dblp:conf/gvd/LeGSDBS21
fatcat:7kt3yuif4jeajohxl3tybaplkm
Reinforcement Learning for Predictive Analytics in Smart Cities
2017
Informatics
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In this paper, we define the concept of a Query Controller (QC) that receives queries for analytics and assigns each of them to a processor placed in front of each data partition. ...
Afterwards, analytics requests in the form of queries could be realized and derive the necessary knowledge for supporting intelligent applications. ...
We provide an intelligent mechanism that learns the QP that best 'matches' to each query based on historical data and a set of query families (every query belongs to a query family having specific characteristics ...
doi:10.3390/informatics4030016
fatcat:oqojmthdvffg5jzal7zbhax46a
Universal Identity Graph Neural Network - U.S. Patent 10,789,612
2021
figshare.com
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The Universal Identity Neural Network is an multidomain, cross-channel algorithmic knowledge graph providing persistent digital identity resolution, created through a unique set of Recurrent Neural Network ...
In some embodiments, the High-Frequency Intelligence Hub may perform real-time analytics for Internet of Things ("IoT) solutions, stream millions of events per second, correlate across multiple streams ...
In part, this scenario stems from a lack of the right mix of algorithms and technology for translating big data to actionable intelligence. ...
doi:10.6084/m9.figshare.14130644.v1
fatcat:fhcjrm6jqbd43aiotmc233pztq
Advances in Artificial Intelligence Require Progress Across all of Computer Science
[article]
2017
arXiv
pre-print
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Advances in Artificial Intelligence require progress across all of computer science. ...
For example, Intel took a loss of $475 million when the first version of its Pentium processor could, under very rare circumstances, produce the wrong result when dividing two numbers. ...
The emergence of large knowledge bases that codify human knowledge in a variety of domains calls for robust algorithms for automated inference; for example, for answering complex queries against knowledge ...
arXiv:1707.04352v1
fatcat:ibbuhjf5mfbihi4cyxsfibcfvm
Supporting the smart teacher: an agenda for the use of embedded sensing in novel learning spaces
2018
Smart Learning Environments
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We present a framework for the use of embedded sensing, its relationship related and emerging work in the fields of social learning analytics and smart learning, and a practical illustration of SOLE (Sugata ...
For the educational researcher, we propose a contextsensitive, dynamic and situated approach that can inform analytic frameworks and development of tools for sense-making. ...
Christopher Carr, Primary lead for STEM who facilitated the design of Big Questions for the SOLE and provided key insights into the questions smart teachers have about SOLE. ...
doi:10.1186/s40561-018-0068-8
fatcat:jlxh6kp66vfxhnsurqncfntz3y
Is Artificial Intelligence (A.I.) Ready to Run a Factory?
2021
International journal on engineering, science and technology
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With smart factory investment expected to increase 20% year-on-year over the next five years and total investment expected to reach $275 billion worldwide by 2027, the use of Artificial Intelligence (A.I ...
The conclusion is that deep machine learning is more than capable of controlling devices. Yet, research shows only 14% of smart manufactures would describe their A.I. efforts as successful. ...
Acknowledgements This paper greatly benefited from input provided by the Strategic Projects and Inbound Customer Engagement group at the SAP Company. ...
doi:10.46328/ijonest.52
fatcat:gl34ejdm5vfq7crnut5e4pnehu
The Argument for a "Data Cube" for Large-Scale Psychometric Data
2019
Frontiers in Education
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This paradigm will make the application of machine-learning, learning analytics, and complex analyses possible. ...
It will also allow for storing the content for tests (items) and instruction (videos, simulations, items with scaffolds) as data, which opens up new avenues for personalized learning. ...
ACKNOWLEDGMENTS The authors thank Andrew Cantine for his help editing the paper. The authors thank Drs. John Whitmer and Maria Bolsinova for their feedback on the previous version of the paper. ...
doi:10.3389/feduc.2019.00071
fatcat:awvj56midra2xk6tm4shhb7ovu
An Intelligent Edge-Centric Queries Allocation Scheme based on Ensemble Models
[article]
2020
arXiv
pre-print
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In this paper, we propose a meta-ensemble learning scheme that supports the decision making for the allocation of queries to the appropriate EC nodes. ...
Data collected by numerous devices present in the IoT infrastructure can be hosted into a set of EC nodes becoming the subject of processing tasks for the provision of analytics. ...
Acknowledgment This research received funding from the European's Union Horizon 2020 research and innovation programme under the grant agreement No. 745829. ...
arXiv:2008.05427v1
fatcat:nca25xfsyza5jpegftbsps7qga
Report of the international workshop on business intelligence and the web
2012
SIGMOD record
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BEWEB intends to be an international forum for researchers and practitioners to exchange ideas on how to leverage the huge amount of data that is available on the Web in BI applications and on how to apply ...
The 2 nd International Workshop on Business intelligencE and the WEB (BEWEB) was co-located with the EDBT/ICDT 2011 Joint Conference in Uppsala (Sweden) on March 25, 2011. ...
The authors define a query processor that (i) transforms a structured query into a set of keyword queries that are submitted to a search engine; (ii) forwards search results to relation extractors; and ...
doi:10.1145/2380776.2380789
fatcat:xcgvyleb2baojm4ezaojpuhmju
Internet of Things and Online Learning: Intelligent Systems beyond Covid-19
2022
International Journal of Computer Applications
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The sudden spread of the virus has necessitated a policy direction in online teaching and learning for most academic institutions. ...
To wholly integrate traditional classroom merits in online learning, we propose an intelligent online learning system that discovers hidden learner behaviour, and improves personal learning using supervised ...
and intelligent pattern analytics. ...
doi:10.5120/ijca2022921879
fatcat:gx57rdn3ync3vdmhclxgoeqehu
Inclusion of Artificial Intelligence in the Recruitment Process in the Indian Corporate Sector
2018
Zenodo
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As the Indian corporate sector is moving towards digitization, one observes an immense potential for the utilization of artificial intelligence in the human resource department, especially in recruitment ...
This research paper will be analyzing the future applications of Artificial Intelligence (AI) in the recruitment process and also, how this technology can/will reshape the 'human resources department' ...
Artificial Intelligence is a branch of computer science that aims to create intelligent machines 1 that are powered by the ability to learn through the process of solving problems 2 . ...
doi:10.5281/zenodo.3592693
fatcat:4wt5xqec45hqtiwtgktk76ao6e
Optical Computing: An Introduction
2021
International Journal Of Scientific Advances
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Optical computers are computers of the future that use of light particles called photons. They come as a solution of miniaturizing problem. ...
Optical computing is the use of optical systems to perform numerical computations or process information. It is the science of making computing work better using optics and related technologies. ...
The ability of machines to process natural language, to learn, to plan makes it possible for new tasks to be performed by intelligent systems. ...
doi:10.51542/ijscia.v2i1.6
fatcat:yz5wm6kzcnctnen3kgrcoa6pta
Conventional AI Chatting Robot
2020
International journal of recent technology and engineering
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ChatBot is an additional and new way for people to interact with your business more effectively. The answers are given by a ChatBot through a mix of predefined scripts and machine learning. ...
ML allows the bot to learn itself without programming whereas NLP gives the bot an ability to understand human speech or text. ...
Artificial Intelligence and Machine Learning are provided with raw data from an analytical device which enables bot-users to gain an insight into market by just typing in the query [5] . ...
doi:10.35940/ijrte.f9547.038620
fatcat:t32lncqcjnbm5mbyespbscu25y
Using Relational Inference Engine to Answer Questions
2021
Latin American Conference on Learning Analytics
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By our approach, the robot, named rAVA, creates internal structures of knowledge while reading more documents, which allow the chatbot to logical reasoning about the world's facts. ...
In this paper, we describe a fast chatbot learning methodology so that it can dynamically and automatically learn new information to deal more appropriately with new discourse domains. ...
According to the taxonomy given by Grudin of conversational bots [1] , it is possible to list three different models: (1) virtual companion engages on any topic keeping a conversation going; (2) intelligent ...
dblp:conf/lala/OliveiraLDP21
fatcat:d2j35py6cvfenlwq7h3k3lgupy
CASIE – Computing affect and social intelligence for healthcare in an ethical and trustworthy manner
2021
Paladyn: Journal of Behavioral Robotics
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We propose an innovative approach to the difficult research challenge of endowing robots with social intelligence capabilities for human assistive interactions, going beyond the conventional robotic sense-think-act ...
Fundamental to this architecture is a normative ethical and social framework adapted to the specific challenges of robots engaging with caregivers and care-receivers. ...
Conflict of interest: Authors state no conflict of interest. ...
doi:10.1515/pjbr-2021-0026
fatcat:h63j74p7rzh45eh4bw7quxovwu
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