YEREVAN, Armenia ⎯ The American University of Armenia (AUA) and PicsArt in December announced the collaborative launch of an Artificial Intelligence (AI) Lab that will employ faculty and students to conduct cutting-edge research in machine learning and computer vision. This offers AUA students the unique opportunity to gain research experience in addition to applied software engineering skills greatly valued by companies in the IT field.
AUA and PicsArt have been working together to create a new model that will promote science and research while growing academic and professional capacity in the domain of AI.
“Artificial Intelligence is quickly evolving all over the world and I think it is the right time to set the scene here, in Armenia. We are very happy to launch the AI Lab in collaboration with PicsArt to enhance research in the field of AI. I am anticipating to see how this new initiative will take us a step forward into a center of excellence and surprise other countries,” noted AUA President Dr. Karin Markides.
The AI Lab will employ two members of the AUA faculty, lead researchers, and about 15 undergraduate students from AUA’s Akian College of Science and Engineering (CSE) majoring in computer and data science. The students will be trained to conduct both applied and fundamental research in machine learning and computer vision. AUA professors and machine learning professionals from PicsArt will begin trainings in January 2020. After a six-week training course, the best performing students will be hired by the AI Lab.
“I am really excited about this project for three main reasons: my background in AI, deep connection to AUA, and prospects for Armenia. PicsArt is all about making awesome and I hope that together with AUA we can make AI awesome in Armenia. I believe this is just the first step of our collaboration and we can do much more together,” noted Hovhannes Avoyan (M PSIA ’95), Founder of PicsArt Inc. and AUA Corporation Trustee.
PicsArt believes in the potential of the AUA students and is excited to provide engineering students with the opportunity for continuous learning in an academic environment, while also solving real-world challenges, based on real data and collaboration with industry experts.