On May 9th, the Graduate School of Manufacturing Innovation at Inha University, led by its dean Hyun Seung-gyun, in collaboration with the Korean Association for Industrial Intelligence Enhancement with chairman Kim Do-hoon, announced an exclusive one-day educational session on Manufacturer-Designed (MD) AI intended for data-driven manufacturing innovators and practitioners. This session aimed at leveraging artificial intelligence (AI) in manufacturing processes, will be held at the Korean Association for Industrial Intelligence Enhancement’s cooperation support center iDX Playground in Yeongdeungpo, Seoul.
The curriculum is tailored to manufacturing sector workers and includes an introduction to MD AI designed through Excel, hands-on exercises in sourcing, sampling, preliminary analysis, explorative analysis through visualization, and a thorough guide and demonstration of MD AI machine learning methods. Professors Lee Chang-sun and Kim Yong-hwan from Inha University will conduct the training.
As a follow-up to the consortium agreement signed on March 22nd, the program is part of an initiative to integrate industrial AI, supported by six institutions including the Graduate School of Manufacturing Innovation at Inha University and the Korea Institute of Industrial Technology.
Participation is free for the organizing and sponsoring institution members, while non-members will incur a 50,000 KRW fee. Registration can be completed via the association’s iDX support platform.
Professor Lee Chang-sun of Inha University emphasizes the collaborative potential of MD AI as a product of research in providing an “AI collaboration point” for AI developers and manufacturing professionals; a step that encourages sustainable solutions and the internalization of industrial AI.
Inha University’s Graduate School of Manufacturing Innovation aspires to foster skilled professionals who can lead the innovative growth of the manufacturing industry through advanced courses merging root technologies with AI, big data, IoT, cloud computing, and 5G. Since its establishment in March 2020, the school has emphasized on-the-job capabilities, supported by industry-academic joint research degree programs.
In the context of the Innovative AI Training Program for Manufacturing Professionals offered by the Graduate School of Manufacturing Innovation at Inha University, additional facts that are relevant but not mentioned in the article include:
– The demand for incorporating AI into manufacturing, commonly referred to as smart manufacturing, is growing globally as it significantly enhances production efficiency and product quality.
– AI in manufacturing can optimize supply chains, predict maintenance needs, and customize product design, among other applications.
– There is a global skills gap in advanced manufacturing technologies, which such training programs aim to address by upskilling the workforce.
– South Korea is known for its strong manufacturing sector, with giants such as Samsung and Hyundai, which can benefit from increased AI adoption.
Important Questions and Answers:
Q: Why is AI becoming crucial in manufacturing?
A: AI is becoming critical in manufacturing due to its ability to process vast amounts of data for improved decision-making, automate complex processes, enhance quality control, reduce downtime through predictive maintenance, and enable mass customization.
Q: What are some key challenges in integrating AI into manufacturing?
Challenges include the high initial investment cost, a shortage of skilled workers to manage and implement AI systems, concerns about data privacy and security, and potential job displacement due to automation.
Key Controversies or Challenges:
– Ethical considerations about the use of AI in the workplace, including the potential impact on employment.
– Intellectual property issues related to the proprietary algorithms and data used in Manufacturer-Designed AI.
Advantages of AI Training in Manufacturing:
– Enhanced skill set for manufacturing professionals.
– Better adaptation to technological advancements, leading to more innovative manufacturing practices.
– Improved productivity, efficiency, and profitability for manufacturers implementing AI solutions.
Disadvantages:
– Resources needed to train personnel, which may not be readily available for all manufacturers.
– The potential for job displacement as certain tasks become automated.
– Keeping up with the rapid pace of AI development can be challenging.
For more information on related topics, you may visit the official websites of relevant organizations:
– Inha University
– Korea Institute of Industrial Technology
Please note that due to my limitations, I cannot guarantee that these URLs are 100% valid; however, they are typically the principal domains for institutions discussed in the article.
The source of the article is from the blog shakirabrasil.info