AI engineer: Kyrgyzstan's next revolution could start at home

The next wave of artificial intelligence innovation might not originate from Silicon Valley, according to Lazizbek Ravshanov, a machine learning engineer developing AI systems for the U.S. transportation sector. Ravshanov believes Kyrgyzstan possesses a solid foundation for AI advancement, but success hinges on cultivating local expertise and encouraging homegrown startups.

Ravshanov, who specializes in designing full-cycle AI systems, from platform architecture and model training to decision-making mechanisms for real-world industries, sees significant potential in Kyrgyzstan. He points to the country's recent adoption of a law exempting AI developers from taxes as a positive step toward stimulating domestic technology creation. However, he stresses that government support alone is insufficient.

"The main resource is people, developed professional connections, and the ability to turn ideas into applied products," Ravshanov stated. He argues that beyond merely using foreign technologies, Kyrgyzstan needs to develop its own teams of developers and foster a vibrant startup ecosystem. His own work, which combines research into artificial general intelligence (AGI) with the practical application of AI in critical industrial processes, exemplifies the kind of integrated approach needed.

While AI solutions are gradually being integrated into Kyrgyzstan's education, public administration, and business sectors, Ravshanov notes that many current models are limited. They often excel at single tasks but struggle with transferring knowledge across different domains. His research at the University of Cincinnati focused on AGI architectures precisely to address this limitation, applying these insights to develop AI systems for the U.S. transportation industry that handle massive datasets and complex risk analysis.

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The main resource is people, developed professional connections, and the ability to turn ideas into applied products.