Merantix AI Campus is a 6,000 m² workspace for AI companies in Berlin. Launched in April 2021, it is a community initiative of the Merantix Group and is home to more than 80 AI teams. It runs a four-month residency for AI engineers. The campus hosts more than 300 events a year, among them hackathons, reading groups, breakfast series, roundtables and unconferences.
Join us for the 10th edition of the Unconference! Be part of a unique, no-hierarchy gathering of software engineers, AI/ML practitioners, and technologists for an evening of spontaneous collaboration, deep technical dives, and real-world knowledge sharing. Unlike traditional conferences, this unconference has no preset schedule or speakers. Instead, the agenda is created by you - on the spot. Whet
AI capabilities are advancing faster than many organizations can put them to work. While experimentation is widespread, a gap remains between access to powerful models and delivering meaningful impact at scale. Join Emmanuel Marill of OpenAI for a conversation with Isabelle Sonnenfeld, Strategic Advisor at Explicit Protocol, about how enterprises can close that gap - and what changes as AI moves f
Berlin Health AI Night Berlin Health AI Night is a new evening meetup for the people working where health meets AI: founders, engineers, clinicians, researchers and operators. The format is simple. A few short expert talks to start, then drinks and open networking. No long panels, just useful input and time to talk properly. It is a recurring format, and each edition puts a focus on one current to
Join us for the 8th edition of Coffee & Code! A small working session for engineers, researchers, and technical founders in Berlin building AI systems. Bring your laptop and something you want to move forward. It can be code, a prototype, a research question, or an idea you are turning into a concrete plan. You'll find people already running startups, alongside engineers and researchers thinking a
AI4Science brings together engineers, researchers, and scientists building the future of scientific discovery with AI, spanning materials, climate, biology, and ML itself. This edition will be a three-hour sprint on one of the hardest open problems in battery development: predicting how well a liquid electrolyte conducts lithium ions from its formulation. Working with CALiSol-23, a dataset of near
