Machine Learning in Physical Verification, Mask Synthesis, and Physical Design

Lin, Yibo; Pan, David Z.

doi:10.1007/978-3-030-04666-8_4

Cited by 6 publications

(2 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In 2017, Majd and Safabakhsh attempted to group ML applications in museums into art authentication, commercial recommendations, guiding, three-dimensional virtual reality, data analysis, ticketing, and museum layout [55]. Consequently, it is important to improve the problem of ELP by utilizing new technologies such as automating layout [42], ML [56][57][58][59], big data analysis [60], etc.…”

Section: Discussionmentioning

confidence: 99%

Optimal Planning Method for Large-Scale Historical Exhibits in the Taiwan Railway Museum

Fan

Chu

2021

Applied Sciences

View full text Add to dashboard Cite

The curation design of cultural heritage sites, such as museums, influence the level of visitor satisfaction and the possibility of revisitation; therefore, an efficient exhibit layout is critical. The difficulty of determining the behavior of visitors and the layout of galleries means that exhibition layout is a knowledge-intensive, time-consuming process. The progressive development of machine learning provides a low-cost and highly flexible workflow in the management of museums, compared to traditional curation design. For example, the facility’s optimal layout, floor, and furniture arrangement can be obtained through the repeated adjustment of artificial intelligence algorithms within a relatively short time. In particular, an optimal planning method is indispensable for the immense and heavy trains in the railway museum. In this study, we created an innovative strategy to integrate the domain knowledge of exhibit displaying, spatial planning, and machine learning to establish a customized recommendation scheme. Guided by an interactive experience model and the morphology of point–line–plane–stereo, we obtained three aspects (visitors, objects, and space), 12 dimensions (orientation, visiting time, visual distance, centrality, main path, district, capacity, etc.), 30 physical principles, 24 suggestions, and five main procedures to implement layout patterns and templates to create an exhibit layout guide for the National Railway Museum of Taiwan, which is currently being transferred from the railway workshop for the sake of preserving the rail culture heritage. Our results are suitable and extendible to different museums by adjusting the criteria used to establish a new recommendation scheme.

show abstract

Section: Discussionmentioning

confidence: 99%

Optimal Planning Method for Large-Scale Historical Exhibits in the Taiwan Railway Museum

Fan

Chu

2021

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…An essential first step in increasing manufacturability and reducing costs is the early discovery of lithography hotspots [5]. Although it takes a while, lithography simulation is accurate for hotspot identification.…”

Section: Machine Learning Applied In Mask/wafer Hotspot Detectionmentioning

confidence: 99%

Application and possibility of machine learning in integrated circuit design

Qiu

2023

ACE

View full text Add to dashboard Cite

Artificial Intelligence has had an impact on the field of integrated circuits. Artificial Intelligence technology is gradually replacing the traditional methodology of implementing Integrated Circuit tasks, which consumes a lot of time, funding, and labor. Traditionally, electronic products, like chips, which consist of a large number of circuits, were very slow and costly to process, because it was done by humans. The engineers have to design the layout, carry out operations, verify, and test the circuits, and this is actually extremely inefficient and expensive. However, with the help of Artificial Intelligence technology, efficiency can be greatly improved. The algorithms of Artificial Intelligence to a large extent, accelerated the process of designing, detecting, and maintaining the Integrated Circuit. Nowadays, many companies are applying Artificial Intelligence to upgrade their own products. Machine Learning is one of the main branches of Artificial Intelligence, and its powerfulness has provided a lot of help in the Integrated Circuit tasks. This paper discussed and analyzed the application and possibility of machine learning specifically in Integrated Circuit design activities through literature review and data research.

show abstract

Implementation of Machine Learning in VLSI Integrated Circuit Design

Harshitha²,

Niveditha³

2023

SN COMPUT. SCI.

View full text Add to dashboard Cite

Machine Learning in Physical Verification, Mask Synthesis, and Physical Design

Cited by 6 publications

References 50 publications

Optimal Planning Method for Large-Scale Historical Exhibits in the Taiwan Railway Museum

Optimal Planning Method for Large-Scale Historical Exhibits in the Taiwan Railway Museum

Application and possibility of machine learning in integrated circuit design

Implementation of Machine Learning in VLSI Integrated Circuit Design

Contact Info

Product

Resources

About