About this event
https://www.meetup.com/en-AU/berlin-ai-machine-learning-and-computer-vision-meetup
Berlin AI Machine Learning and Computer Vision Meetup is a virtual, Berlin-based gathering for data scientists, ML engineers, and open-source enthusiasts to hear from practitioners working at the cutting edge of AI, ML and computer vision. The March 5, 2026 session brings a curated lineup of talks from researchers and engineers, with time allocated for discussion and Q&A. The event is online (Zoom) and hosted by the Berlin AI ML & CV Meetup community, drawing attendees from across the global AI and developer ecosystems.
What makes this meetup compelling:
- A focused, multi-talk format that covers both foundational ideas and practical applications in AI, ML, and vision systems.
- A roster of experienced speakers sharing research insights and real-world use cases, offering both theoretical grounding and actionable takeaways.
- An accessible online format with broad participation, ideal for remote learners, indie developers, researchers, and professionals exploring agentic AI, computer vision, and data-centric workflows.
- An opportunity to connect with a diverse community of practitioners and potentially speak at future Meetups.
Date, time and format:
- Date: March 5, 2026
- Time: 9:00–11:00 AM Pacific Time
- Location: Online (Zoom) – registration via Meetup
- Attendees: previous sessions have drawn hundreds of data scientists, ML engineers, and open-source contributors (e.g., 201 attendees from 47 groups for the March session)
Talk lineup (sample topics and speakers):
- MOSPA: Spatial Audio-Driven Human Motion – Zhiyang (Frank) Dou (MIT CSAIL) discusses creating high-quality human motion models driven by spatial audio data, introducing a diffusion-based framework and the SAM dataset to bridge motion and spatial audio for realism in virtual humans.
- Securing the Autonomous Future: AI, IoT, and Cyber Resilience – Samaresh Kumar Singh (HP Inc.) explores how agentic AI can be designed with security and oversight in mind, balancing autonomous action with accountability.
- Plugins as Products: Bringing Visual AI Research into Real-World Workflows with FiftyOne – Adonai Vera (Voxel51) examines how FiftyOne plugins enable researchers and engineers to scale visual AI workflows and package research into reusable components.
- Transforming Business with Agentic AI – Joyjit Roy (senior technology and program management leader) shares practical patterns for deploying autonomous AI i
