April 21 - Stuttgart AI, ML and Computer Vision Meetup
Details
Join us in-person for the Stuttgart AI, ML and Computer Vision Meetup!
Date, Time and Location
Apr 21, 2026
5:30-8:30 PM
ImpactHub
Quellenstraße 7a
70376 Stuttgart
The Anatomy of an AI Agent
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.
About the Speaker
Clelia Astra Bertelli works at LlamaIndex as an Open Source Engineer, helping to maintain the framework and other OSS projects, building demos and writing technical blog posts about agents and RAG. In her free time, she enjoys coding in Go, Rust and Python, playing with her cat and hiking in the nature.
Data Foundations for Vision-Language-Action Models
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.
About the Speaker
Harpreet Sahota is a hacker-in-residence and machine learning engineer with a passion for deep learning and generative AI. He’s got a deep interest in VLMs, Visual Agents, Document AI, and Physical AI.
Artificial Intelligence in Manufacturing: Opportunities and Applications
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.
About the Speaker
Marco Huber is a full professor with the University Stuttgart and Scientific Director for Digitalization and AI with Fraunhofer IPA. He research focus is on artificial intelligence and machine learning in industrial manufacturing.