How AI helped build hreflang XML sitemaps at scale

Learn how iterative prompting, Python, and Google Colab helped turn a multilingual hreflang mapping project into a scalable workflow.
Opinion
theheraldghana.com on MSNOpinion

Politics, machine learning, clean energy and the future of Africa’s economic emancipation

Across Africa, a new generation of policy oriented technologists is beginning to redefine the relationship between governance, economic development, clean energy transition, and Artificial ...
Ars Technica

From 15 hours to one minute: How AI/ML is speeding up GM’s development

When we met Sterling Anderson in 2024, he was the chief product officer of Aurora, the self-driving startup he cofounded in 2016 after several years at Tesla. Just over a year ago, though, Anderson ...
The Hill

At least $60M from National Park entrance fee fund going toward Trump’s DC projects

At least $60 million in U.S. National Park Service (NPS) funds are going toward Washington, D.C.-based projects as President Trump seeks to “beautify” the city ahead of the nation’s 250th anniversary, ...
The Business Journals

Geospatial nonprofit awards $550K to 3 projects in innovation contest

To continue reading this content, please enable JavaScript in your browser settings and refresh this page. Preview this article 1 min The award recipients include ...
The New York Times

National Park Entrance Fees Are Funding Trump’s D.C. Projects

The administration is spending at least $67 million worth of fees paid by visitors to national parks on fixing D.C. fountains and the Reflecting Pool. By Maxine Joselow and Andrea Fuller Maxine ...
IEEE

Geospatial Analysis and Machine Learning for Site Suitability of Geothermal Energy Plants

Abstract: The use of geospatial data and machine learning have upturned the evaluation of site suitability for geothermal energy plants. This purpose of this study is to determine the conditions of ...
EurekAlert!

[Research Article] Uncertainty quantification in geospatial AI/ML applications: methods, metrics, and open-source support with an air quality use case

Spatial distribution of PurpleAir (triangles) and EPA (squares) sensors across California, shown in relation to major cities LULC classes. The adoption of AI/ML models in geospatial applications faces ...
GeekWire

TerraByte raises the curtain on its campaign to use AI to unleash the power of geospatial data

GeekWire chronicles the Pacific Northwest startup scene. Sign up for our weekly startup newsletter, and check out the GeekWire funding tracker and VC directory. by Alan Boyle on May 19, 2026 at 7:00 ...
GitHub

crime-rate-prediction-project-using-python

A robust Machine Learning–based system designed to predict crime rates across 38 districts of Bihar, leveraging a high-performance Random Forest model (~90% accuracy) and deployed via a Flask web ...