The EVENFLOW consortium had the chance to physically meet for the third face to face plenary meeting in Barcelona, Spain on 9-10 October 2023.

Partner Barcelona Supercomputing Center (BSC) organised the two day meeting on its premises, in Barcelona, where the partners discussed the project’s progress and future activities.

EVENFLOW project is a three-year European project under the Horizon Europe funding that will develop hybrid learning techniques for complex event forecasting, which combine deep learning with logic-based learning and reasoning into neuro-symbolic forecasting models. 

The envisioned methods will combine:

(i) neural representation learning techniques, capable of constructing event-based features from streams of perception level data with 

(ii) powerful symbolic learning and reasoning tools, that utilise such features to synthesise high-level, interpretable patterns of critical situations to be forecast. 

Crucial in the EVENFLOW approach is the online nature of the learning methods, which makes them applicable to evolving data flows and allows to utilise rich domain knowledge that is becoming available progressively, over time. To deal with the brittleness of neural predictors and the high volume/velocity of temporal data flows, the EVENFLOW techniques will rely on novel, formal verification techniques for machine learning, in addition to a suite of scalability algorithms for federated training and incremental model construction. The learnt forecasters will be interpretable and scalable, allowing for fully explainable insights, delivered in a timely fashion and enabling proactive decision making. 

EVENFLOW will be evaluated on three challenging use cases related to oncological forecasting in precision medicine, safe and efficient behaviour of autonomous transportation robots in smart factories and reliable life cycle assessment of critical infrastructure.