What we’re about
Cutting through the noise and sharing real stories from people building with AI across industry, research and personal projects.
AI Signals (formerly AIDLE) began life in 2016 as the London Machine Learning Practice Meetup. After a pause during the pandemic, it was revived in 2022 and later relaunched as an independent community focused on applied AI.
Since then, we've hosted over 20 events, seen 75 talks and grown to more than 3,500 members. In that time we’ve discussed topics like fairness in AI, the developer experience, sustainable AI, and more. In 2025, we became AI Signals - a name that reflects our mission: cutting through the noise and sharing real stories from people building with AI across industry, research and personal projects.
We're volunteer-run, community-powered, and always curious.
How do I register to attend an event?
All our events are free to attend and open to everyone. We use Luma for event registration - just head to our Events page, find the one you’re interested in, and click Register to reserve your spot.
You’ll get a confirmation and a reminder before the event.
We will be shuttering our Meetup page later this year so please join our community on Luma to avoid missing out on future events.
Can’t join in person?
Most events are also live-streamed, with recordings uploaded to our YouTube channel afterwards.
Find out more
How can I get involved?
AI Signals runs on good people and good energy. We’re always up for welcoming new volunteers.
Whether you’ve got time to help out at events, want to support behind the scenes or just feel like being part of something meaningful let’s talk!
Get involved
Can I come and speak at an event?
Absolutely. If you’ve got a story to share, an idea worth exploring, or something you’ve learned while working with AI or machine learning, we’d love to hear from you.
You don’t need to be an expert speaker - just someone with something interesting to say.
Can we sponsor an event?
If you’re a company and interested in getting involved in partnering in some way then we’d love to hear from you!
Sponsorship helps us keep the AI Signals community thriving and gives your company a chance to connect with a smart, engaged audience. We offer a few flexible options, from one-off event sponsorships to deeper partnerships and co-hosted Spotlight events.
Find out more
Upcoming events (1)
See all- AI Signals #23 Reasoning Models, Scaling Workloads, and Beating BiasCivo Tech Junction, London
Join us at Civo Tech Junction on May 27th for an evening of talks about applied AI. As ever we'll be hosting an evening of talks, food, and conversation with ML and AI industry pros.
Please note you will be unable to enter the venue before 6.30pm.
RSVPs will close 24 hours before the event, you may be unable to register after this time but you can still watch online.
If you can't join us in person you can watch remotely via our YouTube channel.
Agenda
06:30pm - Doors open, food and drink served
07:00pm - Welcome
07:05pm - Chaitanya Pathak, Leads by Analyttica "The Evolution of Reasoning from System 1 to System 2 Thinking in Large Language Models (LLMs)"
The shift from System 1 to System 2 thinking is essential in overcoming some of the inherent limitations of current LLMs, such as susceptibility to bias, overgeneralization, and errors in complex tasks that require nuanced understanding or multi-step reasoning. In this session, we will explore how LLMs are transitioning to more sophisticated forms of reasoning, including how they handle ambiguous queries, adapt to novel contexts, and generate more thoughtful, context-aware responses.
07:45pm - Break
08:00pm - Ben Gamble, Ververica "Scaling AI workloads with Flink."
Ben’s talk will run though why Flink is a great tool for handling AI powered services and especially Agentic systems. He will talk about data, events, and semantics.
08:40 - Damien Jade Duff, Daemon "Beyond multi-agent systems: well-designed AI systems delivering value"
Multi-agent systems are currently trending and they do have their uses and an interesting future, but equally they are being thrown with little thought at problems for which modern AI approaches that have been carefully designed and well-tested. Here I give our experience of use cases where we have used good practice and wit to orchestrate LLMs for use cases around knowledge distillation, data extraction, and controllable customer-facing solutions.
09:00pm - Wrap up, drinks at Angel London
Our hosts may require that we provide a list of all attendees, please ensure that you register with a name that matches your government issued ID or bank card: if you do not we cannot guarantee you entry to the building.
Please RSVP for the event well in advance if you plan to attend in person and unRSVP if you can no longer attend as limited spaces are available.
