Steps Toward Industry 5.0: Building “6S” Parallel Industries With Cyber-Physical-Social Intelligence

IEEE/CAA Journal of Automatica Sinica, Journal Year: 2023, Volume and Issue: 10(8), P. 1692 - 1703

Published: July 25, 2023

Very recently, intensive discussions and studies on Industry 5.0 have sprung up caused the attention of researchers, entrepreneurs, policymakers from various sectors around world. However, there is no consensus why what yet. In this paper, we define its philosophical historical origin evolution, emphasize new thinking virtual-real duality human-machine interaction, introduce theory technology based parallel intelligence (PI), artificial societies, computational experiments, execution (the ACP method), cyber-physical-social systems (CPSS). Case applications over last decade been briefly summarized analyzed with suggestions for future development. We believe that interactive industries has great potentials critical building smart societies. Steps are outlined to ensure a roadmap would lead smooth transition CPS-based 4.0 CPSS-based better world which Safe in physical spaces, Secure cyberspaces, Sustainable ecology, Sensitive indi-vidual privacy rights, Service all, Smartness all.

Language: Английский

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Analyzing the potential benefits and use cases of ChatGPT as a tool for improving the efficiency and effectiveness of business operations

BenchCouncil Transactions on Benchmarks Standards and Evaluations, Journal Year: 2023, Volume and Issue: 3(3), P. 100140 - 100140

Published: Sept. 1, 2023

The study addresses the potential benefits for companies of adopting ChatGPT, a popular chatbot built on large-scale transformer-based language model known as generative pre-trained transformer (GPT). Chatbots like ChatGPT may improve customer service, handle several client inquiries at once, and save operational costs. Moreover, automate regular processes order tracking billing, allowing human employees to focus more complex strategic responsibilities. Nevertheless, before deploying enterprises must carefully analyze its use cases restrictions, well strengths disadvantages. example, requires training data that is particular business domain might produce erroneous ambiguous findings. identifies areas deployment ChatGPT's possible in by drawing literature currently accessible massive models, artificial intelligence. Then, using PSI (Preference Selection Index) COPRAS (Complex Proportional Assessment) approaches, advantages are taken into account prioritized. By highlighting current trends industry, this editorial seeks provide insight present state employing research. also learn biases from create replies reinforce those biases. As result, train fine-tune specific operations, set explicit boundaries limitations use, implement appropriate security measures avoid malicious input. highlights research gap dearth outlining businesses, analyzing limits, offering insights how organizations capabilities enhance their operations.

Language: Английский

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ChatGPT and Similar Generative Artificial Intelligence (AI) for Smart Industry: Role, Challenges and Opportunities for Industry 4.0, Industry 5.0 and Society 5.0

SSRN Electronic Journal, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

Generative Artificial Intelligence (AI) models like ChatGPT have become transformative tools across various industries, marking the advent of Industry 4.0, 5.0, and Society 5.0. These AI systems significantly improved communication problem-solving abilities, boosting efficiency productivity in fields ranging from customer service to healthcare education. However, their widespread use presents challenges. Concerns about data privacy, biases generated content, potential effects on employment patterns raise important questions responsible integration these technologies. In similar enabled automation streamlined analysis, optimizing manufacturing processes supply chain management. As 5.0 combines human intuition with advanced technologies, facilitate collaborative, adaptive, empathetic human-machine interactions, creating safer workplaces enhancing overall productivity. Furthermore, within context are crucial addressing societal issues accessibility educational disparities, providing tailored accessible solutions diverse communities. This research examines evolving role comparable realms It explores challenges associated implementation, underscoring necessity for ethical frameworks regulatory policies. Simultaneously, it underscores vast opportunities technologies present, stimulating innovation fostering inclusivity, shaping a future where enhances abilities cultivates harmonious coexistence between humans intelligent machines.

Language: Английский

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Multidisciplinary collaboration: key players in successful implementation of ChatGPT and similar generative artificial intelligence in manufacturing, finance, retail, transportation, and construction industry

Published: Oct. 17, 2023

The emergence of generative artificial intelligence (AI), exemplified by ChatGPT, has fundamentally transformed numerous sectors amplifying operational efficiency, output, and customer satisfaction. However, effectively integrating such sophisticated AI systems, especially in manufacturing, finance, retail, transportation, construction, demands concerted efforts from cross-functional teams. This investigation delves into the indispensable role played these teams ensuring seamless integration ChatGPT akin technologies across diverse fields. In research underscores vital significance collaboration between specialists, industrial engineers, production managers to optimize manufacturing processes, preemptive maintenance, quality assurance. finance sector, study highlights essential synergy data scientists, regulatory experts, financial analysts harness ChatGPT's complete potential automating tasks, detecting fraud, providing personalized interactions. For retail industry, this accentuates necessity collaborative marketing strategists, user experience designers, developers utilizing for targeted campaigns, virtual shopping assistants, instantaneous support. It explores how can facilitate assimilation boost engagement, inventory management, predict consumer trends, thereby propelling business growth competitive advantage. transportation imperative planners, software developers, experts leveraging efficient route planning, predictive vehicle real-time logistics oversight. construction importance cohesive among architects, civil programmers project design enhancement, risk mitigation. By promoting collaboration, effective communication, cross-domain expertise, are instrumental harnessing transformative AI, industries toward a more efficient, sustainable, technologically advanced future.

Language: Английский

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Enhancing Mathematical Capabilities through ChatGPT and Similar Generative Artificial Intelligence: Roles and Challenges in Solving Mathematical Problems

SSRN Electronic Journal, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

The incorporation of artificial intelligence (AI) technologies, with a particular focus on generative models such as ChatGPT, has ushered in revolutionary era the field education, fundamentally altering way students engage mathematical problem-solving. This scholarly article investigates diverse roles and obstacles associated harnessing potential ChatGPT other AI tools to enhance proficiency. By implementing these cutting-edge educators can provide tailored learning experiences that cater wide array styles paces. enables receive immediate feedback, participate interactive problem-solving dialogues, access step-by-step solutions align their individual requirements. Nevertheless, integration into education is not without its complexities. A central challenge revolves around ensuring accuracy dependability AI-generated solutions, mitigating any biases present training data, maintaining harmonious balance between automation human intervention process. Ethical concerns, encompassing matters data privacy ethical use AI, also demand meticulous consideration. Furthermore, delves cognitive impacts students, scrutinizing how reliance might affect critical thinking skills grasp fundamental concepts. It explores methodologies aimed at fostering synergistic relationship intelligence, encouraging development robust strategies while computational capabilities AI. research illuminates promising incorporating notably realm mathematics education. addressing challenges adopting nuanced approach, harness power craft enriching efficient environments, nurturing generation individuals adept well-equipped tackle intricacies modern world.

Language: Английский

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Left Gaze Bias Between LHT and RHT: A Recommendation Strategy to Mitigate Human Errors in Left- and Right-Hand Driving

IEEE Transactions on Intelligent Vehicles, Journal Year: 2023, Volume and Issue: 8(10), P. 4406 - 4417

Published: July 24, 2023

Driver errors, such as distraction, perceptual blindness, and incorrect control manipulation, can either cause road accidents or reduce driving performance in daily tasks. Several works literature have illustrated blindness distraction are associated with insufficient attention to those activities vital for safe driving. Also, inappropriate driving-related eye movements may subsequently result manipulation of the throttle steering wheel. Although many studies examined drivers' visual performance, there been few attempts compare left-hand traffic (LHT) right-hand (RHT) conditions. Even same scene, different movement patterns also be induced due left gaze bias. Motivated by this human factor, research investigates potential errors from perspective (i.e., saccades fixations) corresponding manipulations. Firstly, a simulator is used investigate discrepancy identical scenes between LHT RHT. Secondly, regions feature sensitivities spatially correlated comparing distribution central peripheral fields both Besides, considering violation rules likely potentially fatal mistakes, recommendation strategy proposed alleviate utilizing neural network inspired driver map. The experiments RHT tasks demonstrate improvements alleviation importing strategy.

Language: Английский

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Sora for Scenarios Engineering of Intelligent Vehicles: V&V, C&C, and Beyonds

IEEE Transactions on Intelligent Vehicles, Journal Year: 2024, Volume and Issue: 9(2), P. 3117 - 3122

Published: Feb. 1, 2024

The advent of Scenarios Engineering (SE) paves the way to a new era intelligent vehicles (IVs), driven by Artificial Intelligence (AI)-enabled strategies. It aims at shaping IVs be form that is more relevant underlying scenario, thereby accomplishing validation, verification (V&V), and calibration, certification (C&C) each vehicle. However, such improved capabilities relies on accumulation analysis an unprecedented volume scenarios. Recently, Sora other video generation models have opened up horizons for Imaginative Intelligence. As extension TIV-DHW (Distributed/Decentralized Hybrid Workshop) SE, this letter discusses potential change scenario process reducing physical shooting, increasing extreme generation, enabling comprehensive training testing IVs. This also analyzes limitations in accurately model physics understand cause effect, which may affect its effectiveness SE applications. Last, through outlook, provide direction development Sora-like AI technology, promoting safety, efficiency, reliability, sustainability

Language: Английский

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Foundation Intelligence for Smart Infrastructure Services in Transportation 5.0

IEEE Transactions on Intelligent Vehicles, Journal Year: 2024, Volume and Issue: 9(1), P. 39 - 47

Published: Jan. 1, 2024

This perspective paper delves into the concept of foundation intelligence that shapes future smart infrastructure services as transportation sector transitions era Transportation 5.0. First, discussion focuses on a suite emerging technologies essential for intelligence. These encompass digital twinning, parallel intelligence, large vision-language models, traffic simulation and systems modeling, vehicle-to-everything (V2X) connectivity, decentralized/distributed systems. Next, introduces present landscape 5.0 applications illuminated by foundational casts vision towards including cooperative driving automation, intersection/infrastructure, management, virtual drivers, mobility planning operations, laying out prospects are poised to redefine ecosystem. Last, through comprehensive outlook, this aspires offer guiding framework intelligent evolution in data generation model calibration, twinning simulation, scenario development experimentation, feedback loop management control, continuous learning adaptation, fostering safety, efficiency, reliability, sustainability infrastructure.

Language: Английский

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Everything you wanted to know about ChatGPT: Components, capabilities, applications, and opportunities

Internet Technology Letters, Journal Year: 2024, Volume and Issue: unknown

Published: May 30, 2024

Abstract Conversational Artificial Intelligence (AI) and Natural Language Processing have advanced significantly with the creation of a Generative Pre‐trained Transformer (ChatGPT) by OpenAI. ChatGPT uses deep learning techniques like transformer architecture self‐attention mechanisms to replicate human speech provide coherent appropriate replies situation. The model mainly depends on patterns discovered in training data, which might result incorrect or illogical conclusions. In context open‐domain chats, we investigate components, capabilities constraints, potential applications along future opportunities. We begin describing components followed definition chatbots. present new taxonomy classify them. Our includes rule‐based chatbots, retrieval‐based generative hybrid Next, describe constraints ChatGPT. Finally, research results showed that ChatGPT, transformer‐based chatbot model, utilizes encoders produce responses.

Language: Английский

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Universal skepticism of ChatGPT: a review of early literature on chat generative pre-trained transformer

Frontiers in Big Data, Journal Year: 2023, Volume and Issue: 6

Published: Aug. 23, 2023

ChatGPT, a new language model developed by OpenAI, has garnered significant attention in various fields since its release. This literature review provides an overview of early ChatGPT across multiple disciplines, exploring applications, limitations, and ethical considerations. The encompasses Scopus-indexed publications from November 2022 to April 2023 includes 156 articles related ChatGPT. findings reveal predominance negative sentiment though subject-specific attitudes must be considered. highlights the implications many including healthcare, raising concerns about employment opportunities While holds promise for improved communication, further research is needed address capabilities limitations. insights into on informing future investigations practical applications chatbot technology, as well development usage generative AI.

Language: Английский

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