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Introduction
Published in Chinmay K. Maiti, Fabless Semiconductor Manufacturing, 2023
Even though AI has been around as an academic and scientific discipline since the 1950s, AI technology has only recently gained traction in the semiconductor industry. The current explosion in AI science, investment, and real-world application is unparalleled. Semiconductor manufacturers may use AI systems to predict when or if usable equipment may malfunction, allowing maintenance and repair to be planned ahead of time. Manufacturers can increase performance while lowering the cost of machine failure thanks to AI-powered predictive maintenance. The ecosystem will assist manufacturers in shortening production and R&D cycles, increasing production capability, lowering production costs, ensuring product quality, and improving product yield by fully using real-time data and AI. It can benefit both high-tech industries like semiconductor wafer fabrication and traditional labor-intensive industries.
Psychosocial and cultural aspects of rehabilitation engineering interventions
Published in Alex Mihailidis, Roger Smith, Rehabilitation Engineering, 2023
Marcia Scherer, Malcolm MacLachlan
Kaye et al. (2008) classified the technological sophistication of products as follows. High-tech products were digitally based, such as computer hardware or software, or a communication device. Medium-tech products were those with electronic or motorized equipment (for example, a powered wheelchair, scooter, or hearing aid). Low-tech products were non-motorized, non-electronic products, such as a magnifier, cane, or oxygen tank. One can argue with this classification in terms of the sophistication of technology versus the type of technology; and, as the authors note, these categories are not necessarily mutually exclusive. However, our interest here is to establish any relationship between different categories of technology use and ethnicity.
A stage-dependent economic order quantity model for high-tech products with a finite life cycle
Published in International Journal of Systems Science: Operations & Logistics, 2021
In recent years, life cycle of high-tech products is becoming shorter and shorter due to the increasing pressure of global competition. Personal computers, smart phones, digital cameras, military equipment and chemical drugs are examples of high-tech products. Due to the crucial role of high-tech industries in economic growth, many researches have been done in this field over the last decade. Some of the issues that have been investigated in these researches include production planning in high-tech industries (Hsu & Li, 2009), supplier selection in high-tech industries (Lee, Kang, Hsu, & Hung, 2009), closed-loop supply chain (CLSP) design for high-tech industries (Chuang, Wang, & Zhao, 2014), investigating the impact of supply chain complexity on the performance of high-tech industries (Kou & Lee, 2015), identifying the role of innovation in high-tech industries (Martín-de Castro, 2015), marketing of high-tech products (Presutti, Boari, Majocchi, & Molina-Morales, 2019) and knowledge management in high-tech industries (Yang & Gabrielsson, 2017).
Using Serious Games in Data Communications and Networking Management Course
Published in Journal of Computer Information Systems, 2018
Xiaoye Cheng, Yichuan Wang, Chetan S. Sankar
High-tech companies are competing with each other to hire and retain competent employees who are knowledgeable about their technologies and are adept at using these to create new products/services. Many of them do not have sufficient knowledge about underlying technologies. This study shows that serious games may motivate them to master these technologies and improve their HOCS; this may be a superior methodology compared to them attending week-long workshops on these technologies.