Inspiring next generation
There are researchers whose work quietly shapes the future of how machines see and understand the world.
They bridge the gap between abstract algorithms and real-world applications, pushing boundaries in fields like deep learning, computer vision, and intelligent document processing.
My guest today is one such innovator, an academic and practitioner whose contributions span both cutting-edge research and impactful industry collaborations.
With a passion for pattern recognition and a commitment to advancing AI education, he continues to inspire the next generation of scientists and engineers.
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