首页|Reports from Moscow State University of Civil Engineering Advance Knowledge in A rtificial Intelligence (Promising directions for the artificial intelligence dev elopment in the housing and utilities sector)

Reports from Moscow State University of Civil Engineering Advance Knowledge in A rtificial Intelligence (Promising directions for the artificial intelligence dev elopment in the housing and utilities sector)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in artific ial intelligence. According to news reporting originating from Moscow State Univ ersity of Civil Engineering by NewsRx correspondents, research stated, “Modern t echnologies require the improvement of automation and labour savings.” The news reporters obtained a quote from the research from Moscow State Universi ty of Civil Engineering: “Therefore, successful construction companies are every where introducing artificial intelligence into their business, which actually op timizes any processes without human intervention. At the same time, the final pr oduct quality increases. Investing in high technology may be a daunting task for many businesses, but in the long run, reducing waste and material consumption w ill have a positive impact on profitability. Investments in the technologies dev elopment in the housing and communal services are increasing around the world, a nd households are increasingly switching to smart metering devices. Artificial i ntelligence technologies allow organizations in housing and communal services to reduce the operators cost and automate the most frequent communications with re sidents. The innovative technologies introduction for the development of housing and communal services is aimed primarily at optimizing the services range in ac cordance with the population needs and rationalizing their use in the context of sustainable territories development.”

Moscow State University of Civil Enginee ringArtificial IntelligenceEmerging TechnologiesFinance and InvestmentMa chine LearningTechnology

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jun.27)