Zurich AI

• Frequency: Monthly
• Format: Hybrid, accommodating both in-person and online participants
• Venue: Details will be provided for each session
• Transparency: Slides on quantinar.com; Codes on quantlet.com; Data on blockchain-research-center.com
• Virtual Participation: Zoom link: https://ase.zoom.us/j/84350805723?pwd=qoaiNnbVKQEF8T1jCLDme8BmbGXplw.1
• Announcement: Via Meetup and Linkedin pages of IDA and AI4EFin

We invite you to join us and to be part of a community at the forefront of FinTech innovation.
Keep an eye out for updates and further information on how you can be a part of these exciting discussions.

AI in Digital Finance —20 February 2026

Link: https://ase.zoom.us/j/84350805723?pwd=qoaiNnbVKQEF8T1jCLDme8BmbGXplw.1

Title: The geographic origins of blockchain transactions
Speaker: Simon Trimborn ( Amsterdam School of Economics, University of Amsterdam)
Date and time: February 20 2026 (Friday), 17:00 PM (EEST) / 16:00 PM (CET)

Abstract: We investigate the transaction patterns of Bitcoin users by their geographical origin and design Random Forest architectures to obtain indices for the share of transactions per region. We show that North American and European users transaction flows have a stronger market relationship than global flows. Using the indices, trained on a unique dataset spanning 5 years of blockchain transactions and their associated geographical origin, we construct region-specific blockchain metrics which we show improve market modelling and forecasting as compared to the global metrics. We further show with the indices regional differences in users willingness to pay transaction fees.

Important: Register on the event website to receive joining link. (rsvp on meetup will NOT receive joining link).

This is virtual event for our AI global community, please double-check your local time.
Can't make it live? Register anyway to receive the webinar recording.

Description:
Welcome to the weekly AI Deep Dive Webinar Series. Join us for deep dive tech talks on AI, hands-on experiences on code labs, workshops, and networking with speakers & fellow developers from all over the world.

Tech Talk: Build Reliable AI apps with Observability, Validations and Evaluations
Speaker: Hoc Phan (Okahu)
Abstract: As generative AI moves from experimentation to enterprise deployment, reliability becomes critical. This session outlines a strategic approach to building robust AI apps using Monocle for observability, Okahu’s VS Code Extension for diagnostics, and Okahu Cloud for workflow evaluation. Discover how to create AI systems that are not only innovative but also predictable and trustworthy.

Speakers/Topics:
Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics

More upcoming sessions:

• Feb 12: AI DevTalks Live with Google Cloud (Ep 10) - Building Multi-Agent Pipelines with Google ADK
• Feb 18: AI DevTalks Live with Google Cloud - Ep 11
• Feb 26: AI Deep Dive Series (Virtual) - Agent Memory - Part 2
• Mar 4: AI DevTalks Live with Google Cloud - Ep 12

Local and Global AI Community on Discord
Join us on discord for local and global AI tech community:

• Events chat: chat and connect with speakers and global and local attendees;
• Learning AI: events, learning materials, study groups;
• Startups: innovation, projects collaborations, founders/co-founders;
• Jobs and Careers: job openings, post resumes, hiring managers

Important: Register on the Event Website to receive joining link. (rsvp on meetup will NOT receive joining link).
This is virtual event for our AI global community, please double-check your local time.
Can't make it live? Register anyway to receive the webinar recording.

Description:
Welcome to the weekly AI Deep Dive Webinar Series. Join us for deep dive tech talks on AI, hands-on experiences on code labs, workshops, and networking with speakers & fellow developers from all over the world.

Tech Talk: The Architecture Behind Self-Evolving AI Agents
Speaker: Chris Latimer (Vectorize)
Abstract: Every agent framework today treats memory as an afterthought, stuff some documents in a vector database, retrieve chunks, hope for the best. The result is agents that are perpetually starting from zero. They don't learn from experience. They don't notice patterns. But real intelligence requires more than retrieval. It requires learning.
In this talk, I'll show how we built Hindsight, an open-source agent memory system that gives agents the ability to learn and improve on their own over time.

Speakers/Topics:
Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics

Venue:
virtual, join from anywhere.

Sponsors:
We are actively seeking sponsors to support AI developers community. Whether it is by offering venue spaces, providing food, or cash sponsorship. Sponsors will not only speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 500K+ worldwide.

More upcoming sessions:

• Feb 18: AI DevTalks Live with Google Cloud - Ep 11
• Feb 26: AI Deep Dive Series (Virtual) - Agent Memory - Part 2
• Mar 4: AI DevTalks Live with Google Cloud - Ep 12

Local and Global AI Community on Discord
Join us on discord for local and global AI tech community:
- Events chat: chat and connect with speakers and global and local attendees;
- Learning AI: events, learning materials, study groups;
- Startups: innovation, projects collaborations, founders/co-founders;
- Jobs and Careers: job openings, post resumes, hiring managers