Global aerospace and security company, Lockheed Martin has announced a partnership between its Science Technology Engineering Leadership and Research Laboratory (STELaRLab) and Romania’s Cluj Technical University to support the development of artificial intelligence research.
The two sides will explore the development of a distributed autonomous response for humanitarian assistance and disaster relief to improve the response to f emergency situations.
The partnership, which is for an initial period of one year, will provide Romanian researchers with access to Lockheed Martin’s global research and development network, including the Lockheed Martin Artificial Intelligence Center., a press release said.
“Today’s announcement marks a significant milestone in our partnership with Romania. The team from Lockheed Martin….. will be working closely with the Cluj University …. to develop essential artificial intelligence solutions that will help tackle some of the world’s greatest challenges” said Ray Piselli, Lockheed Martin’s Vice President of International Business.
He said the collaboration was a sign of Lockheed Martin’s commitment to investing in long-term partnerships in Romania which would create high-skilled jobs and technology advancement.
Sebastian Burduja, the minister for Research, Innovation and Digitalization said that “Romania’s technical universities have demonstrated world leading capabilities and I am delighted that Lockheed Martin has recognized the expertise in artificial intelligence within Romania.”
Natural emergencies such as wild fires are increasing globally as a result of climate change.
Lockheed Martin and Cluj Technical University seek to provide automated tools that combine environmental perceptions from dispersed sensing platforms, using AI to achieve greater situational awareness in emergency situations.
Prof. Sergiu Nedevschi said: “We look forward to developing our relationship with Lockheed Martin and combining our expertise to advance computational models for 4D environmental perception, including from drones for road environments as well as from multi-sensors for disaster recovery.”