E Weinan said AI will lower barriers to scientific research and expressed optimism about the development of AI native industrial software
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AT A GLANCE
E Weinan said AI will lower barriers to scientific research and projected that industrial production-line modeling could be realized in to 5 years.
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E Weinan, Academician of the Chinese Academy of Sciences:AI will advance the “democratization of scientific research”; in the future, citizen scientists will be the main force in research
PANews October 17 reported, citing Phoenix Technology, that E Weinan, an Academician of the Chinese Academy of Sciences and Chair Professor at Peking University, stated at the Guanghua Thought Leadership Forum that artificial intelligence is essentially “mathematics + computer engineering” and will substantially lower barriers to scientific research, advancing the “democratization of scientific research.” Through open laboratories and cloud services, every capable team and individual with ideas can participate in technological innovation, and “citizen scientists will be the main force in research in the future.” He believes the fundamental reason for destructive internal competition among enterprises is insufficient innovation capacity. Although high-end industrial software and CNC systems for machine tools are constrained by others, it is possible to build AI native industrial software systems and, within or years, develop systems comparable to or even surpassing Siemens’ systems. He distinguished AI for Science from AI for Industry, and judged that industrial production-line modeling could be realized in to 5 years. He also warned that the current scientific research system will face enormous challenges and predicted that the form of scientific research outcomes will shift from...
PANews said the news was reported by Phoenix Technology.
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E Weinan stated at the Guanghua Thought Leadership Forum that artificial intelligence is essentially “mathematics + computer engineering.”
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E Weinan stated that AI will substantially lower barriers to scientific research, enabling teams and individuals with ideas and capabilities to participate in technological innovation through open laboratories and cloud services.
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E Weinan believes that the fundamental reason for destructive internal competition among enterprises is insufficient innovation capacity.
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E Weinan stated that it is possible to build AI native industrial software systems and said that systems comparable to or even surpassing Siemens’ systems could be developed within or years.
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E Weinan distinguished AI for Science from AI for Industry, and judged that industrial production-line modeling could be realized in to 5 years.
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E Weinan warned that the current scientific research system will face enormous challenges.
AI-assisted interpretation
The following is analysis, separate from reported facts. Verify important claims independently.
This is a set of forum views and forecasts. E Weinan believes that AI, open laboratories, and cloud services can enable more teams and individuals to participate in scientific research; he also offered AI timing assessments for native industrial software and industrial production-line modeling. The original text provides no evidence of product implementation or actual deployment.
Why it matters to readers
If scientific research tools and experimental resources become more readily available, participation in technological innovation may broaden; the assessments regarding industrial software and production-line modeling suggest AI potential directions for development in the industrial sector. However, this content is currently primarily personal judgment.
Beginners should distinguish between “facts that have already occurred” and “experts’ forecasts for the future.” “One or years” and “ to 5 years” are expectations expressed in the remarks and do not mean that the relevant system will necessarily be realized by then.
Risks and unknowns
The report was PANews’ retelling of Phoenix Technology and did not provide a complete record of the forum remarks.
The end of the original text was truncated, so the complete forecast regarding the form of the scientific research outcomes cannot be confirmed.
AI Whether a native industrial software system can match or surpass Siemens within or years has not yet been verified by implementation evidence.
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Whether industrial production-line modeling can be achieved within to 5 years remains a forecast.
The original text did not provide specific projects or policies regarding how open laboratories and cloud services would be implemented.
Related concepts
AI for Science
This term is not in the glossary yet. Browse related concepts in the glossary.
