Paris, France
Research & talks

Signal & Noise

Hosted by Anastasia Borovykh + Émile Heijs

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Signal & Noise event artwork

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The gathering

What to look forward to

Signal & Noise’s second machine learning gathering will bring French and European researchers, engineers, and practitioners together for substantive talks and discussion on AI’s future, continual learning, and recursive self-improvement. Speakers from Meta, DeepMind, GeoWatch Labs, The Forecasting Company, Mistral, and CFM will share their approaches, open questions, and current work.

From the organizer

Inside the event

After a successful first edition, we're hosting the second Signal & Noise machine learning gathering at CFM to bring the French & European scene together ✨

The event is designed as an informal gathering for people working across ML, whether in research, engineering, applications, or simply with an interest in the field.

Rather than focusing only on the latest state of the art, we aim to create space for discussion around the broader questions shaping AI today. How close are we to recursive self-improvement? How can we enable models to continually learn after deployment? What does a good future with AI look like?

We have awesome speakers lined up from Meta, DeepMind, GeoWatch Labs, The Forecasting Company, Mistral and CFM.

The talks will have an educational focus, with speakers sharing problems, approaches, open questions, and topics they are currently exploring. The goal is to make this a relaxed but substantive evening of exchange, where you can meet like-minded people.

Hope to see you there,
Anastasia

Registration required as space is limited.

Paris, France

Venue listed by the organizer · Paris, France. Confirm the final address before traveling.

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Discovered through Cerebral Valley. Details come from the event listing and the organizer page; registration is managed by the organizer.

Last checked: Nov 2, 2026. Confirm current availability before making plans.

Organizer page checked: Oct 20, 2026. Check registration for the latest details.

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