The EVENFLOW project has reached an important stage of its journey, marking strong progress across research activities, use cases and collaboration efforts, as highlighted in the latest project newsletter. Now well into its second year, the project continues to deliver on its goal of developing hybrid neuro-symbolic AI methods that support reliable and interpretable forecasting in complex, real-world environments.

Read our latest newsletter here!

From research to practice

Over the past months, the consortium has advanced work across its three main use cases: personalised medicine, smart manufacturing, and critical infrastructure assessment. These use cases remain central to testing and validating EVENFLOW’s methods, ensuring that scientific developments translate into practical decision-support tools. In parallel, project partners have shared insights and results through targeted webinars and events, including sessions focused on challenges in breast cancer care and the role of AI in improving predictive capabilities in healthcare.

Building Trustworthy AI together

EVENFLOW remains actively involved in the TrustWorthy AI Cluster, collaborating with other European projects working on transparency, robustness and ethical AI. Joint webinars and exchanges have provided valuable opportunities to align approaches, share experiences and strengthen the European trustworthy AI ecosystem.

Sharing results with the community

Scientific publications, conference contributions and outreach activities continue to be a key part of the project’s work. These efforts help ensure that EVENFLOW’s results are visible, accessible and useful to both the research community and stakeholders across different sectors. As the project moves forward, the consortium looks ahead to further technical developments, increased validation of its solutions and continued engagement with the wider AI community.