AI-Powered Energy Infrastructure and Solutions for German Industry

Hosted by {Tech: Europe} x The Delta x CODE University Build something real with Nebius and NVIDIA before GTC Berlin begins. On Sunday, 18 October, Nebius is bringing together around 250 AI engineers, agent builders, startup teams and technical practitioners for a full day of hands-on building in Berlin. Teams will use Nebius AI Cloud, Serverless, Token Factory, Tavily and NVIDIA technologies to build practical AI applications, agents and workflows. The day starts with technical workshops, followed by more than six hours of hacking, support from onsite mentors, and final demos and judging. Choose your track: Cloud & Serverless - Build and deploy AI services, inference endpoints, evaluation pipelines or reusable deployment templates using Nebius infrastructure. Apps & Agentic AI - Create agents and AI applications that solve real problems using open models, Nebius Token Factory and Tavily for real-time web search. Vertical AI - Build for areas such as healthcare and life sciences, physical AI & robotics, media and entertainment. Participants will also be able to build with NVIDIA Nemotron through Nebius Token Factory as part of a dedicated NVIDIA challenge. NVIDIA will support the event with workshops, technical resources, mentors and judges. More technology and application partners will be joining soon, bringing additional challenges, tools and prizes. Prizes will be awarded to standout projects across the main tracks and partner challenges. Programme: 09:00 Registration, breakfast, networking and team formation 10:00 Welcome, opening keynote and challenge briefing 10:20 Technical workshops and platform onboarding 13:00 Lunch served, with hacking continuing 18:30 Submission deadline & Dinner 20:00 Finalist demos and awards 21:00 Reception and networking Who should apply? This hackathon is for AI and ML engineers, application developers, agent builders, startup teams and anyone interested in turning an AI idea into a working project. Part of Nebius Build Week This

When I first started strength training, I was intimidated, confused, and nowhere near consistent. I kept thinking it would be easier if I just had other women around me going through the same thing. So I'm starting exactly that — for women who want to be more serious about their strength training, get extra accountability and a community of women. Up until now we've been running Coffee & Lift on Saturdays. We're now expanding to Sundays too, so we can make room for more women and get more of us stronger together. This one is on a Sunday, at Holmes Place Gendarmenmarkt. How it works We meet in front of a cafe, grab a coffee, take a walk together, and end at a gym nearby. Want to train after? Great — work on your own program or buddy up with someone. Prefer to just do the walk and grab a coffee? Also great. What matters is that you're surrounded by other women who are interested in getting stronger. 9 free gym passes on us for Holmes Place Gendarmenmarkt! If you've always wanted to join a Coffee & Lift but haven't been able to, this is your sign — we have 9 free gym passes to give out! All we ask in return is a quick story from the session tagging @womensliftclub. Please only claim one if: You have never had a free day pass from Holmes Place before. This one is important, it's a condition from our gym partner. You don't already have a Wellpass, Urban Sports Club, or Holmes Place membership. Let's make sure they go to the right people! How to claim your pass: there's nothing to do in advance. Just come to the event and you'll go into the gym together with the host, who will sort everything out on the day. Please do make sure you actually turn up, because a claimed pass that goes unused is a spot another woman could have had. Please note: by claiming a free pass, you agree that your name and email address will be shared with Holmes Place, and that they may contact you in future about their own offers and marketing. Free filter coffee from 19grams this week! 19grams is

Welcome to Sunday Tech Coffee. This is a networking event for those in the tech industry in Berlin. We are usually inside and to the right. Ask the barista/bartender if you can't find us.

Hey Berlin Data Folks! We’re looking forward to welcoming you to our next Data Science Demo Day on 20th October. Our Batch 47 participants have been busy working on their final projects, and they’re ready to share what they’ve built. This time, we have 7 projects covering a pretty wide mix of topics, from behavioral profiling and healthcare to career transitions, engineering, agriculture, fire detection, and even fermentation. It’ll be a relaxed autumn evening to see some practical data science and AI applications, meet others from Berlin’s data community, and chat about ideas, projects, and what people are working on. And, of course, we’ll have some pizza and drinks to keep everyone going. Free to Attend! Agenda: 17:30 \- Drinks and Networking 18:00 \- Welcome & Introduction Followed by Project Presentations Project Ideas: 1\. ML\-Based Data Broker Simulator Project by Sascha Alexeyenko How much can your everyday browsing actually reveal about you? This project explores that question by building an ML-based data broker simulator. It combines browsing metadata with website content to look for patterns around a user’s emotions, activities, and behavior, both in the moment and over time. The project also demonstrates how these insights could be used to target people with certain content or recommendations at just the right moment. The idea is to make behavioral profiling feel less abstract and give people a clearer sense of what can be inferred from their browsing data and how those insights might be used to influence their choices. 2\. Personalized Psychiatric Treatment Selection for Depression Project by Aleksandra Garifulina Finding the right antidepressant treatment can be a very individual process. This project explores whether machine learning can help support more personalized treatment selection using patient-level clinical characteristics and treatment-response data. The project looks at supervised classification methods to match treatments more closely