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Cornell team develops computationally efficient machine learning models for hyperlocal models of PM2.5 concentrations

Cornell engineers have developed machine learning models to simplify and reinforce models to calculate the fine particulate matter (PM2.5) contained in urban air pollution. Described in a paper in the journal Transportation Research Part D: Transport and Environment, the modeling approach has low data requirements and is computationally efficient. Previous. ....

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Innoviz Technologies to Host Interactive LiDAR Use-Case Demonstrations with Global Partners at the CES® 2023

Innoviz Technologies to Host Interactive LiDAR Use-Case Demonstrations with Global Partners at the CES® 2023
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Innoviz Technologies to Host Interactive LiDAR Use-Case Demonstrations with Global Partners at the CES® 2023

Innoviz will host InnovizOne LiDAR demonstrations for non-automotive applications at its booth #6553 at the Consumer Electronics Show (CES), January 5-8, 2023, in Las Vegas, Nevada. Innoviz will also host partner presentations at its booth, showing how they are deploying Innoviz LiDAR products across industries. TEL AVIV, Israel - Innoviz Technologies (NASDAQ: INVZ) (the "Company" or "Innoviz"), a Tier-1 ....

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Artificial Intelligence (AI)-Based Digital Pathology Solutions Market to Record Rapid Growth with CAGR of 7.67% by 2030

/PRNewswire/ InsightAce Analytic Pvt. Ltd. announces the release of a market assessment report on the "Global AI-Based Digital Pathology Solutions Market By. ....

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InsightAce Analytics Pvt. Ltd.: Artificial Intelligence (AI)-Based Digital Pathology Solutions Market to Record Rapid Growth with CAGR of 7.67% by 2030

InsightAce Analytics Pvt. Ltd.: Artificial Intelligence (AI)-Based Digital Pathology Solutions Market to Record Rapid Growth with CAGR of 7.67% by 2030
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