CAIML Meetup
Cologne AI ML
The “Cologne AI Machine Learning Meetup” (CAIML) is the leading deep tech community in the NRW Rhineland region and regularly organises meetups at various venues across Cologne. The events feature excellent specialist talks and practical tech demonstrations, including the underlying source code. The meetup brings together academics and researchers, professional software developers and industry experts, as well as interim managers, to share expertise and network.
Venue
CAIML #43 is going to happen on Tuesday July 21 from 6:30 to 8:30 PM in Hürth at IQMatix: Horchstraße 2 in Hürth (near Cologne): Loft 7+8
We are looking forward to meeting you in Hürth.
www.meetup.com/de-DE/cologne-ai-and-machine-learning-meetup/events/313098096/
First Talk
Gabriel Firmino Barjollo (Cybersecurity Specialist, Pentester & AI Engineer) and Sebastian Kröger (Architect & AI Engineer): Background of jailbreaking LLMs, Pentest Agents, and Supply Chain Attacks
“Modern LLM safety alignment is a moving target – and understanding where it breaks is essential to building better defenses. We introduce in the background of jailbreak techniques across prompt, system, and model levels, then demonstrate how an unaligned model becomes the reasoning core of an autonomous pentest agent, wired to standard offensive tooling with a plan-execute-observe-adapt loop. Once an AI agent acts on a developer’s behalf, how far can a compromise propagate? We walk through a realistic end-to-end supply chain attack – a manipulated agent introduces a malicious dependency that survives code review and flows through CI/CD to downstream consumers. Attack primitives include LLM-amplified typosquatting, prompt injection via package metadata, and lateral movement into build and signing infrastructure.”
Second Talk
Maurice Kraus (Research Associate / PhD Candidate at Technische Universität Darmstadt): Do We Really Need Another Forecasting Model?
“Time-series foundation models promise a single solution across domains, yet often rely on architectures that may be ill-suited to latency-sensitive or specialized use cases. In contrast, xLSTM-Mixer illustrates how lighter recurrent and state-space-inspired architectures can compete with heavier transformer models in both accuracy and efficiency. Benchmarks such as QuAnTS further highlight that practical time-series modeling increasingly goes beyond forecasting, requiring capabilities such as question answering and reasoning over temporal data, often through more specialized models. Finally, recent work on finding the Zeitgeist in time-series foundation models shifts the question from prediction error alone to what these models actually learn, and how their representations transfer. This talk introduces xLSTM-Mixer and uses it to motivate a broader discussion: do we need another forecasting method, or better ways to design, understand, and evaluate models for the specific demands of each domain.”
Impressions
Further information
CAIML aims to bring together people interested in AI and ML (machine learning). For more information visit & join us: Cologne AI and Machine Learning Meetup
CAIML Mission
“We want to bring people together who are interested in AI and Machine Learning. At our meetups, we have: networking, talks, fireside chats, knowledge exchange and applications of AI and Machine Learning. We organize our meetups every other month at different locations in Cologne. We are always looking for innovative and inspiring speakers. If you know somebody who would be an excellent fit for our meetup, we would highly appreciate if you help us and recommend this speaker to us.”
Please follow our CAIML community also on Linkedin: www.linkedin.com/company/caiml-meetup/posts
Videos
More Video impressions on YouTube: youtube.com/@ThomasFabula
Retrospective
Don’t miss the previous meetups of the CAIML community in Cologne: