A System Design Perspective for Business Growth in a Crowdsourced Data Labeling Practice

Algorithms, Journal Year: 2024, Volume and Issue: 17(8), P. 357 - 357

Published: Aug. 15, 2024

Data labeling systems are designed to facilitate the training and validation of machine learning algorithms under umbrella crowdsourcing practices. The current paper presents a novel approach for designing customized data system, emphasizing two key aspects: an innovative payment mechanism users efficient configuration output results. main problem addressed is datasets where golden items utilized verify user performance assure quality annotated outputs. Our proposed enhanced through modified skip-based golden-oriented function that balances penalties prevents spam activities. Additionally, we introduce comprehensive reporting framework measure aggregated results accuracy levels, ensuring reliability output. findings indicate solutions pivotal in incentivizing participation, thereby reinforcing applicability profitability newly launched systems.

Language: Английский

Mechanisms for Forming the Enterprise Information Support Infrastructure based on Artificial Intelligence Methods and Technologies

Artificial Societies, Journal Year: 2023, Volume and Issue: 18(S1), P. 0 - 0

Published: Jan. 1, 2023

In the article, issues of application, improvement, and development mechanisms formation information support systems infrastructure enterprise on basis artificial intelligence methods technologies were studied. The relevance application digital innovative in all areas society, economy, science, technology, education is justified as one main trends countries. Enterprises should focus applying more effective data utilization for decision-making, automation, innovation. At same time, some general features also explained. Global Artificial Intelligence market growth forecasts are provided. includes machine learning, natural language processing, virtual assistants, predictive analytics, more. most used investigated. importance was explained its advantages noted. problems creating controlled by analyzed. components an based have been determined, structural scheme has developed. Mechanisms such integration, pre-processing cleaning, cloud computing technologies, edge computing, security, continuous training, deployment control, scalability, flexibility defined. directions improving efficient system enterprises Industry 4.0 platform to Application Big Data With aim increasing sustainability economic development, relevant proposals recommendations made taking into account technological requirements priorities elements enterprise's supportinfrastructure technologies.

Language: Английский

A No Code Approach to Infrastructure Provisioning in Support of Science

Published: Nov. 13, 2023

Communications infrastructures and compute resources are critical to enabling advanced science research projects. Science cyberinfrastructures must meet clear performance requirements, be adjustable changing requirements facilitate reproducibility. These characteristics can met by a programmable infrastructure with guaranteed such as the BRIDGES cross Atlantic While programmability should foundational design principle for cyberinfrastructures, itself might not sufficient scientists who have no or limited experience IT technologies operate their testbeds independent of support teams. The trend offering "no code" platforms users without core competency achieve business goals manifest in context educational well. In this paper we describe architecture platform which would enable easily configure modify using large language model-based interface integrated composable services infrastructure. testbed is used an example integration where functionality benefits projects operated large, diverse

Language: Английский