In this episode, we chat with Aaron Stewart, Senior AI Researcher, about his groundbreaking work in computer vision and machine perception. Aaron’s research focuses on helping AI systems understand the world more like humans do — not just processing images, but making sense of them.

From his early days in video game development to working on cutting-edge AI vision models, Aaron shares how his experiences shaped his approach to building AI that can see, reason, and interact with real-world environments.

🔥 What You’ll Learn in This Episode:

✅ Why AI vision is more than just object detection

✅ How to teach AI to reason about what it sees

✅ The role of synthetic data in training perception models

✅ The connection between gaming, simulation, and AI training

✅ Challenges in making AI vision robust and trustworthy

📌 Connect with Aaron Stewart:

🔗 https://www.linkedin.com/in/draphd/

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