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Using Machine Learning to Derive Benthic Habitat Maps

The South African Council for Geoscience recently launched an initiative to optimize marine geophysical data collection in South African waters. The m. ....

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C3.ai Digital Transformation Institute Announces AI for Energy and Climate Security Grantees

C3.ai DTI Awards $4.4M to 21 Projects to Advance Breakthrough Artificial Intelligence Research for the Energy Sector ....

Stanford University , United States , Electromobility Henrik Sandberg , Xiao Su , Kap Stann , Alberto Sangiovanni Vincentelli , Thomasm Siebel , Javad Lavaei , Eric Horvitz , Hamish Gordon , Eytan Modiano , Kaiyu Guan , Wei Liu , Marta Gonzalez , Claire Tomlin , Qianwen Xu , Arindam Banerjee , Minjie Chen , Kameshwar Poolla , Sergey Levine , S Shankar Sastry , Lisa Kennedy , Ali Hortacsu , University Of California , Resilient Energy Systems , Baker Hughes ,

C3.ai Digital Transformation Institute Announces AI for Energy and Climate Security Grantees

URBANA, Ill. and BERKELEY, Calif., June 10, 2021 C3.ai Digital Transformation Institute (C3.ai DTI) today announced the second round of C3.ai DTI ....

Stanford University , United States , Electromobility Henrik Sandberg , Xiao Su , Alberto Sangiovanni Vincentelli , Thomasm Siebel , Javad Lavaei , Hamish Gordon , Eytan Modiano , Kaiyu Guan , Wei Liu , Marta Gonzalez , Qianwen Xu , Claire Tomlin , Arindam Banerjee , Minjie Chen , Kameshwar Poolla , Sergey Levine , S Shankar Sastry , Ali Hortacsu , University Of California , Resilient Energy Systems , Baker Hughes , Resilience In Grid Energy Management Amritanshu Pandey , Materials Discovery Framework For Energy , Machine Learning For Power Electronics ,

The Growing Impact of Artificial Intelligence (AI) in Healthcare

In this article, we discuss the importance and the growing impact of artificial intelligence in the healthcare sector. ....

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Automated Workflows and Machine Learning Techniques for Coastline Extraction

About Automated Workflows and Machine Learning Techniques for Coastline Extraction
In this maritime GeoAI webinar, presented by Esri, attendees will learn how to use ArcGIS automated workflows and machine learning techniques for coastline extraction and attribution.
Due to anthropogenic activities and natural processes such as sea level changes, sedimentation, and wave energy coastlines are rapidly changing worldwide. Traditionally, coastlines were digitized manually using time and labor intensive processes.
Remote sensing is an excellent alternative to extract coastlines, using satellite imagery. Satellite imagery of visible range can be used for interpretation and easily obtained. But the imageries covering infrared wavelength is best to extract the boundary between land and water. The band ratio technique is easy to calculate and gives highly accurate results in less processing time. The workflow can be applied to any area using multispectral imagery, Landsat 8 or S ....

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