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Listen: Microsoft Acquisition Aims to Advance AI

Multinational technology company Microsoft has acquired Semantic Machines in hopes of advancing conversational artificial intelligence. Semantic Machines has developed a new approach to building conversational AI. By using machine learning, users can discover, access and interact with information and services in a much more natural way, and with significantly less effort. All eyes will…

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Multinational technology company Microsoft has acquired Semantic Machines in hopes of advancing conversational artificial intelligence. Semantic Machines has developed a new approach to building conversational AI.

By using machine learning, users can discover, access and interact with information and services in a much more natural way, and with significantly less effort. All eyes will be on Microsoft to see if this acquisition makes advances in AI a new part of the conversation.

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AI moves from back office to job site in construction's next build-out

AI moves from back office to job site in construction's next build-out

McCarthy Building Companies has entered a multimillion-dollar agreement with Palantir to enhance AI adoption. However, RICS experts highlight that data readiness and organizational culture pose significant challenges. This development signals a shift in integrating AI within construction sectors.

  • 01McCarthy Building Cos. signs a major deal with Palantir.
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South Korea commits $7.5 billion to AI-autonomous manufacturing as smart factory count hits 30,000

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South Korea is investing $7.5 billion in advancing AI-autonomous manufacturing, with a significant increase in smart factories, now totaling 30,000. The initiative also targets the development of 100 AI manufacturing zones throughout the country.

  • 01South Korea invests $7.5 billion in AI-autonomous manufacturing.
  • 02There are currently 30,000 smart factories in South Korea.
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Construction's productivity crisis: why ML cost forecasting and off-site methods are converging

Construction's productivity crisis: why ML cost forecasting and off-site methods are converging

U.S. construction productivity has decreased since 1968. Machine learning models and off-site construction methods are becoming pivotal in bridging this productivity gap by providing accurate cost forecasting and efficient building practices.

  • 01U.S. construction productivity has been declining since 1968.
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