Categories: AI/ML News

New AI tool predicts airport traffic to avert devastating collisions

In managing airport traffic, small errors can cause catastrophe. A group from the CMU Robotics Institute’s AirLab used the Pittsburgh Supercomputing Center’s Bridges-2 supercomputer to create World2Rules, an AI that draws from airport data and historical crash reports to help human controllers spot collisions before they happen. Their paper is published on the arXiv preprint server.

As drone traffic increases, researchers turn to AI to help avoid collisions

Autonomous drone aircraft traffic in uncontrolled airspace below 400 feet altitude is expected to substantially increase in the next few years. Experts anticipate a fleet of nearly 1 million commercial uncrewed aircraft systems (UAS) in the U.S. by 2027, engaging in tasks like package delivery, traffic monitoring, and emergency assistance.

October 10, 2023

In "AI/ML News"

Searidge Technologies Offers a Safety Net for Airports

October 5, 2022

In "FAANG"

Visual AI Takes Flight at Canada’s Largest, Busiest Airport

Toronto Pearson International Airport, in Ontario, Canada, is the country’s largest and busiest airport, serving some 50 million passengers each year. To enhance traveler experiences, the airport in June deployed the Zensors AI platform, which uses anonymized footage from existing security cameras to generate spatial data that helps optimize operations…

December 7, 2023

In "FAANG"

AI Generated Robotic Content