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Explore the frontiers of AI with Hrant Khachatrian and discover how Armenia is carving its niche in the global AI landscape on Eye on AI.

In this episode Hrant shares his journey from industry to academia, detailing the establishment of YerevaNN at a time when machine learning was scarcely present in Armenia.

The discussion revolves around the challenges and breakthroughs in AI research, particularly in areas like natural language processing and clinical time series. Khachatryan also delves into his lab's efforts in developing deep learning algorithms for a wide array of applications, from electronic health records to image segmentation.

His insights provide a unique perspective on the growth of AI research in Armenia and its global implications, so make sure you watch till the end.

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(00:00) Preview and Introduction

(02:03) Sponsorship: Netsuite by Oracle Evolution

(04:40) Hrant's Journey: From Computer Science to Founding Yerevann ML Research Lab

(06:15) What Are The Goals of Yerevann ML Research Lab?

(11:33) Career Pathways in AI: Industry vs Academia

(14:22) AI Development in Armenia: Challenges and Opportunities

(21:41) Leveraging Compute Resources for AI Research

(25:46) Drug Discovery and Aerial Navigation in AI

(33:54) Exploring New Avenues of AI Research

(41:15) Building a Global Research Community from Armenia

(49:53) Future of AI Research: Potential Areas and Strategies

(57:10) Conclusion and Closing Remarks

#165 Hrant Khachatrian: A Deep Dive Into The Breakthroughs & Challenges of AI Research

Eye On A.I.

#165 Hrant Khachatrian: A Deep Dive Into The Breakthroughs & Challenges of AI Research