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…
This one-day workshop will bring together experts and researchers from across the AI and healthcare sectors to explore the future of artificial intelligence in healthcare applications. The event will cover a range of topics, including AI’s role in stress prediction, public perception, trust, and acceptance, as well as digital biomarkers. The workshop will be held…
Artificial Intelligence (AI) is increasingly present in our everyday life, demonstrating, as with many disruptive technologies, a duality between the benefits of developing and using it, and the potential dangers and actual harms it may lead to. Facing an increasing number of AI incidents and hazards, organizations are indeed rightly concerned about the safety and…
This webinar brings together two research talks at the intersection of human-centric AI and real-world applications. The first explores how communities of AI agents can collaborate with humans to accomplish goals in smart environments, making their reasoning transparent and adaptable. The second presents a novel wearable-derived biomarker for stress detection based on sleep dynamics, combining transformer models with physiological…
In this webinar, we explore how artificial intelligence is being applied to enhance the performance, efficiency, and sustainability of modern power grids and mobility systems. From intelligent control of buildings to smart maritime propulsion and electric vehicle charging forecasting, AI-driven methods are playing a key role in accelerating the energy transition. How can data-driven control…