VenusAI: An artificial intelligence platform for scientific discovery on supercomputers

Yao, Tiechui; Wang, Jue; Wan, Meng; Xin, Zhikuang; Wang, Yangang; Cao, Rongqiang; Li, Shigang; Chi, Xuebin

doi:10.1016/j.sysarc.2022.102550

Cited by 9 publications

(3 citation statements)

References 36 publications

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“…Recently, a growing number of technology firms have looked at platforms that use comparable AI technologies. Numerous AI platforms have been established for various study disciplines because of the development of architecture and the constant expansion of processing power [173].…”

Section: High-performance Computingmentioning

confidence: 99%

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Intelligent Computing: The Latest Advances, Challenges, and Future

Zhu

et al. 2023

Intell Comput

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Computing is a critical driving force in the development of human civilization. In recent years, we have witnessed the emergence of intelligent computing, a new computing paradigm that is reshaping traditional computing and promoting digital revolution in the era of big data, artificial intelligence, and internet of things with new computing theories, architectures, methods, systems, and applications. Intelligent computing has greatly broadened the scope of computing, extending it from traditional computing on data to increasingly diverse computing paradigms such as perceptual intelligence, cognitive intelligence, autonomous intelligence, and human–computer fusion intelligence. Intelligence and computing have undergone paths of different evolution and development for a long time but have become increasingly intertwined in recent years: Intelligent computing is not only intelligence oriented but also intelligence driven. Such cross-fertilization has prompted the emergence and rapid advancement of intelligent computing. Intelligent computing is still in its infancy, and an abundance of innovations in the theories, systems, and applications of intelligent computing is expected to occur soon. We present the first comprehensive survey of literature on intelligent computing, covering its theory fundamentals, the technological fusion of intelligence and computing, important applications, challenges, and future perspectives. We believe that this survey is highly timely and will provide a comprehensive reference and cast valuable insights into intelligent computing for academic and industrial researchers and practitioners.

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Section: High-performance Computingmentioning

confidence: 99%

“…• VenusAI [173] is a supercomputer-based method that extends the virtualization and containerization of primary hardware. VenusAI provides a technology mechanism for aggregating and allocating diverse resources.…”

Section: High-performance Computingmentioning

confidence: 99%

Intelligent Computing: The Latest Advances, Challenges, and Future

Zhu

et al. 2023

Intell Comput

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“…Text classification can be divided into two categories: multicategory and multi-label categories. Based on the EASYDL [32] platform under the PaddlePaddle [33] DL framework, this study uses a multi-label text classification model to annotate and classify the text comment data of evaluation categories to evaluate the sentiment tendencies of different content layers. The specific implementation methods are as follows: first, a total of 10,913 pieces of data was obtained through the crawler, and a total of 2906 pieces of valid data was obtained after data pre-processing.…”

Section: Text Sentiment Analysis Technologymentioning

confidence: 99%

Research on Sustainable Reuse of Urban Ruins Based on Artificial Intelligence Technology: A Study of Guangzhou

et al. 2022

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In recent years, with the continuous deepening of the urbanization process, the problem of urban ruins (URs) has become prominent. This significantly affects the happiness of residents around the URs, the overall image of the city, and the environment, and it has become an important issue in urban construction. At present, the types of urban ruins mainly include industrial ruins, abandoned urban buildings, and war sites. Generally, methods such as demolition and reconstruction of original buildings or upgrading and transformation are used to reuse URs, and some of them have achieved fruitful results. However, the current renovation of URs is based on fragmented renovation strategies for different URs without a systematic and universally applicable renovation methodology. With the development of artificial intelligence, technologies such as Generative Adversarial Network (GAN), Easy DL, and Natural Language Processing (NLP) can provide technical support for urban ruin reconstruction, from design to operation. Specifically in the present study, the ten representative URs in Guangzhou are first evaluated by the Analytic Hierarchy Process and then combined with AI methods, such as the adversarial generative networks and big data applications, into the reuse design of URs. Finally, a complete research system is established to implement URs’ projects, which provides a clearer systematic planning strategy for the reuse of URs in the future.

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Data-Driven Approach for Investigation of Irradiation Hardening Behavior of RAFM Steel

Wang

Chen

et al. 2022

Knowledge Science, Engineering and Management

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VenusAI: An artificial intelligence platform for scientific discovery on supercomputers

Cited by 9 publications

References 36 publications

Intelligent Computing: The Latest Advances, Challenges, and Future

Intelligent Computing: The Latest Advances, Challenges, and Future

Research on Sustainable Reuse of Urban Ruins Based on Artificial Intelligence Technology: A Study of Guangzhou

Data-Driven Approach for Investigation of Irradiation Hardening Behavior of RAFM Steel

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