Join our in-person meetup to hear talks from experts on cutting-edge topics across AI, ML, and computer vision. View more CV events here.

The presence of AI agents in the tech scene has skyrocketed in 2025, and is continuing to grow in 2026: from Manus to Claude Code, they are making their way to the everyday life of everyone of us.

But what makes a good AI Agent? In this talk we'll try to give an answer to this question, by going through the anatomy of one, exploring topics such as how an agent thinks and acts, how it interacts with the external environment (the filesystem, e.g.), how we can harness it to control its flow and how we can provide the right context to it, avoiding hallucinations.

Model architectures get the papers, but data decides whether robots actually work. This talk introduces VLAs from a data-centric perspective: what makes robot datasets fundamentally different from image classification or video understanding, how the field is organizing its data (Open X-Embodiment, LeRobot, RLDS), and what evaluation benchmarks actually measure. We'll examine the unique challenges such as temporal structure, proprioceptive signals, and heterogeneity in embodiment, and discuss why addressing them matters more than the next architectural innovation.

Artificial intelligence and machine learning are rapidly transforming manufacturing by enabling data-driven optimization across the entire production process. This presentation highlights proven industrial use cases, including automated visual inspection, process parameter optimization, intelligent production plannung, and cognitive robotics, demonstrating measurable gains in quality, uptime, and cost efficiency. It also briefly introduces a methodology to identify and prioritize use cases. The talk ends with exploring emerging technologies such as AI-based simulation or Embodied AI.