Join us for a special edition of the MLOps Community Amsterdam hosted by the Effectory, where we dive deep into Hard Tech — the frontier where science, engineering, and AI collide to create breakthroughs in the physical world.

Featuring:
🔬 Tal Kachman - Radboud University, Yale

Prof. Kachman researches multiagent interaction, complex systems, and reinforcement learning. His work explores how artificial intelligence can be integrated with physics and chemistry to advance scientific discovery. He investigates the role of high-throughput experimentation in accelerating research and the transformative potential of generative models to uncover new materials and functionalities.

🧪 Alessandro De Maria - from CuspAI

Cusp is developing an AI-powered search engine for material discovery, a platform that helps scientists uncover entirely new materials to drive innovation in energy, sustainability, and advanced manufacturing.

Don't forget we also have a small section dedicated to open positions: MLOpportunities. In case your company has some open positions you'd like to pitch about, the stage can be yours for a couple of mins. Let us know.

Now, for the meetup, here's the agenda we're considering:

📅 Agenda

17:30 - 18:20: Walk-in + bites🚶‍♂️🍴
18:20 - 18:30: Welcome + MLOpportunities
18:30 - 19:20: Tal Kachman
19:20 - 19:30: Small break
19:30 - 20:20: Alessandro De Maria
20:20 - 21:00: Networking + drinks 🍹

Stick around for food, drinks, and great conversations with fellow AI and ML enthusiasts!

Note: Please, update your Luma accounts to reflect your full name (first and last name) when registering, as we need this data for guests registration at the premises. Otherwise, we cannot grant the access.

Want to chat with the rest? Join our Slack in the #Amsterdam channel!
https://join.slack.com/t/mlops-community/shared_invite/zt-36q0g9r83-qZLH7z2UA8~auwhfO7x1ZA

MLOps Community - Hard Tech @ Effectory