News
News and updates
Deployments, product milestones and research collaborations.
Core technology now 100% open-source in pikaia
All internal danube strategies have been moved into pikaia, making the complete Genetic AI core openly available.
GitHub →New paper: Feature weighting for data analysis via evolutionary simulation
Weights interpreted as feature relevance evolve by a replicator-type dynamic on the standard simplex, with proven global convergence to a unique interior equilibrium.
arXiv →New paper: Evolutionary Data Theory
Concepts and formalism of evolutionary game theory are transferred to the data regime, introducing the fundamental paradigms of Evolutionary Data Theory.
arXiv →Independent verification confirms bias-free matching in Romagnolo.ai
An independent assessment confirmed complete bias-lessness of the matching, among others with respect to gender, disability, religion and origin.
romagnolo.ai →Cherry Tree 0.7 adds video game recommendations
Version 0.7 extends prompting to video games, next to restaurants, movies and series.
Discord →New paper: Genetic AI — Evolutionary Games for ab initio dynamic Multi-Objective Optimization
Multi-objective optimization without external parameters, predefined weights or training data — input data becomes genes and organisms competing for fitness.
arXiv →Essay published: What if Darwin made an AI?
An argument for an AI built on the mechanics of evolution rather than the statistics of language — lean, first-principles and free of training-data bias.
Research →Weekly recommendations opt-in for Cherry Tree
Users can now opt in to receive weekly recommendations from our chatbot, based on their previous interactions.
Discord →Cherry Tree 0.6: movie and series recommendations
Version 0.6 extends Cherry Tree beyond restaurants — it can now recommend movies and series.
Discord →Genetic AI whitepaper released
The foundational whitepaper develops the framework in which data features become genes and data records become organisms under evolutionary strategies.
Research →Cherry Tree 0.5.5: Cherry Tree goes LLM
Prompts can be far more creative than before, and restaurant recommendations now support postal codes.
Discord →Over 100 Geizhals product categories powered by danube.ai
Geizhals now hosts well over 100 product categories where danube.ai recommendation is enabled to help users find what they really want.
geizhals.at →pikaia published as an open Python library
The evolutionary core is available for prototyping criteria models directly on your own data.
GitHub →Cherry Tree 0.5 goes live with a community Discord
Version 0.5 launches alongside our community Discord server, supporting restaurant prompts world-wide.
Discord →Official Romagnolo.ai demo launches
Everyone can now try our AI matching for recruiting themselves in the public demo.
demo.romagnolo.ai →Romagnolo.ai beta launches with first customer
The beta of Romagnolo.ai goes live together with our first customer.
romagnolo.ai →Milestone
danube.ai is founded
Where it all began: danube.ai is founded in Vienna to build an AI grounded in the mechanics of evolution rather than the statistics of language.
Try Genetic AI on your own data
With DarwinNGC you can already upload your own data and run Genetic AI on it. Ready to try it for yourself? - or get in touch directly.