In a strategic collaboration with Abu Dhabi’s transport authority, Google is stepping forward to enhance the number of green traffic lights in the emirate. The technology giant intends to use machine learning to reduce stop-and-go traffic, aiming to mitigate air pollution in the process.
This development was announced during an event held at the Mohammed bin Zayed University of Artificial Intelligence in Abu Dhabi, where Google outlined multiple ways it plans to work with the UAE on AI initiatives.
“We’re at an exciting inflection point” in AI development, stated Karan Bhatia, global vice president for government affairs and public policy at Google.
Project Green Light: A Data-Driven Approach
The initiative, known as Project Green Light, is a pilot program designed to gather data on traffic patterns and develop AI models. These models will offer recommendations such as extending the duration of green lights during specific times, contributing to a decrease in traffic congestion and emissions.
Promoting Arabic Representation in AI
Google also aims to improve Arabic representation in AI foundation models by offering research awards at MBZUAI. Sultan Al Hajji, MBZUAI vice president of public affairs and alumni relations, stressed that “AI research and development is central to the UAE’s economic diversification.”
Summary:
- Google collaborates with Abu Dhabi’s transport authority for Project Green Light, aiming to boost the number of green lights and reduce air pollution.
- The initiative involves using machine learning to study traffic patterns and make recommendations to alleviate congestion.
- Google also plans to offer research awards at Mohammed bin Zayed University of Artificial Intelligence (MBZUAI) to enhance Arabic representation in AI foundation models.
- These initiatives reflect Google’s commitment to AI development and its strategic collaboration with the UAE.
