Drug discovery: Chaos can be your friend or your enemy

Miller, Susan M.; Moos, Walter H.; Munk, Barbara H.; Munk, Stephen A.; Hart, Charles P.; Spellmeyer, David C.

doi:10.1016/b978-0-12-824304-6.00012-2

Cited by 2 publications

(1 citation statement)

References 473 publications

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“…Artificial Intelligence (AI) and Augmented Reality (AR) have become disruptive technologies in the smart manufacturing space. In the context of smart manufacturing, this study is an empirical examination into the synergy between AR and AI with the goal of clarifying their combined influence on productivity, quality control, staff training, and maintenance [1]- [5]. Modern production has undergone a paradigm change as AI provides data-driven insights and automation, while AR enhances physical settings.…”

Section: Introductionmentioning

confidence: 99%

Augmented Reality and AI in Smart Manufacturing: An Empirical Investigation

Tatiana Sergeevna,

Singh Bisht,

Dixit

et al. 2024

BIO Web Conf.

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This empirical study, “Augmented Reality and Artificial Intelligence in Smart Manufacturing,” reveals how these two technologies are revolutionizing the manufacturing industry. The results, which are based on real data, highlight the significant effects of integrating AI and AR. Notably, after installation, productivity indicators saw an average improvement of 8.5% across production lines, highlighting the effectiveness of AR and AI in improving production operations. Furthermore, the average number of completed product faults dropped by 3.5, demonstrating the effectiveness of AI and AR in quality control. The average 47.5% decrease in repair requests highlights the predictive maintenance's potential for cost savings made possible by AR and AI. The relevance of AR and AI as critical factors influencing productivity, quality, and affordability in smart manufacturing is further supported by this empirical data.

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Section: Introductionmentioning

confidence: 99%

Augmented Reality and AI in Smart Manufacturing: An Empirical Investigation

Tatiana Sergeevna,

Singh Bisht,

Dixit

et al. 2024

BIO Web Conf.

View full text Add to dashboard Cite

show abstract

AI-Powered Super-Workers: An Experiment in Workforce Productivity and Satisfaction

Valeriya,

John,

Singla

et al. 2024

BIO Web Conf.

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In this paper, "AI-Powered Super-Workers," the revolutionary power of artificial intelligence (AI) on the workforce is empirically shown. Based on real data, the conclusions show significant shifts in work satisfaction and productivity. For example, up to 52% productivity benefits were seen in a variety of professions; one such function was that of a Sales Executive (John Smith, for example), whose productivity rose by 50% after AI integration. Job satisfaction soared, with a significant 46% improvement noted by Employee 1 (John Smith). The 20% boost in skill that Employee 2 (Sarah Johnson) demonstrated highlights the efficacy of AI-driven training. AI use patterns that highlight individual differences in AI adoption include Employee 4 (Emily Brown) using AI for 21 hours. This research may be summarized by the following keywords: AI use, workforce productivity, job satisfaction, skills advancement, and AI integration.

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Drug discovery: Chaos can be your friend or your enemy

Cited by 2 publications

References 473 publications

Augmented Reality and AI in Smart Manufacturing: An Empirical Investigation

Augmented Reality and AI in Smart Manufacturing: An Empirical Investigation

AI-Powered Super-Workers: An Experiment in Workforce Productivity and Satisfaction

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