A representative of Boeing Aerospace Spain will be presenting an overview of several AI-based research solutions and concepts developed at the company, with a focus on Airspace Operational Efficiency. Participation is free! Date: 12 November 2026, 14:00-14:45 CETLocation: OnlineTo register, you must fill in the following form by 11 November 2026 (13:00 CET). Target audience The target audience includes…
Artificial Intelligence is now part of everyday life, from the services we use and the decisions that affect us to the infrastructure our societies depend on. Like many disruptive technologies, it brings both real benefits and real risks. As AI incidents and hazards become more frequent, a shared question arises for everyone who builds, buys,…
In this webinar, we will learn about ASTRID (Advanced Software Tools for Reliable Industrial Datasets). ASTRID is an open-source, local-first tool developed under the ENFIELD Open Call to check industrial datasets before they are used to train AI models. We will see how it audits tabular, time-series and image data on five dimensions: quality, security,…
This webinar looks at the topic of Trustworthy AI with a focus on how AI trustworthiness is perceived by the public and which factors influence the perceived trustworthiness. We will take a look different notions of trustworthiness and the conceptual challenges of defining trustworthiness for non-human/AI trustees. Based on that, we present our ongoing research…
This webinar features two research talks on using interpretable machine learning to understand real-world physical systems. The first talk looks at solar cells: predicting their internal electrical behavior is normally done with complex physics-based simulations that are hard to invert to recover the underlying material properties. This talk shows how training ML models on simulated data can…
In this third webinar dedicated to the application of artificial intelligence in energy systems, we explore how AI can support smarter, more sustainable and resilient power grids and cities. Under the theme “Application of AI to Power Grids and Smart Cities,” this session will focus on how advanced AI models can help balance user accessibility…
Neuro-symbolic AI is often regarded as the 3rd wave of AI, aiming to integrate symbolic and neural approaches to combine their strengths and address their respective limitations. Stemming from symbolic AI, knowledge graphs (KGs) are a key representation for structured knowledge on the Web. They also constitute a natural meeting point between symbolic reasoning and machine learning,…
Factories were among the first environments to embrace AI – and today, with Industry 4.0, they generate more data than ever. But as technology takes on a greater role on the shop floor, so do the people operating it. Shop floor operators are now responsible not only for production, but also for the systems that run it,…
This webinar includes two research talks on recent advances in Explainable AI for complex black-box models. The first talk explores how feature-based attribution methods can help make deep neural network predictions more understandable, from scalar outputs and multimodal medical data to structured predictions, survival analysis, and predictive uncertainty. The second talk presents work on explainable cancer segmentation through…
The environmental impact of AI has exploded due to the popularity of large-scale generative AI models. At the same time, many AI methods can deliver high performance with much lower computational requirements, especially when they are designed to make use of existing domain knowledge. In this webinar, scientists from the ENFIELD project will present research related to hybrid AI…