AI in Science Fellowship Q+A Session
16/06/2026
16:00 - 17:00This informal Q+A is for anyone interested in finding out more about the AI in Science Postdoctoral Fellowships before applying to the scheme.
This informal Q+A is for anyone interested in finding out more about the AI in Science Postdoctoral Fellowships before applying to the scheme.
Data is at the heart of decision-making today, and graphs are firmly embedded in the modern data stack. From fraud detection and drug discovery to market and supply modelling, graphs enable previously unachievable insights.
The use of artificial intelligence in creating synthetic media, either from scratch or by changing parts of an existing content, has become very popular. The drivers behind this popularity are in a wide spread access to often initially open source deepfake and Generative AI algorithms, but also in the low cost, their performance and their ease of use by nonprofessionals.
Cause and effect relationships play a central role in how we understand the world around us and how we act upon it. Causal associations intend to be more than descriptions, or summaries of the observed data, and instead relate to the underlying data-generating processes.
Cause and effect relationships play a central role in how we understand the world around us and how we act upon it. Causal associations intend to be more than descriptions, or summaries of the observed data, and instead relate to the underlying data-generating processes.
Lattice-based approaches are emerging as a common theme in modern cryptography and coding theory
This is IX’s new seminar series where we invite industrial and academic leaders in AI to discuss the latest advancements in AI theory and applications. We hope to bring together researchers working on the fundamental aspects of AI and those using it in applications such as health, materials sciences, biology, security and more, stimulating interesting discussions and creating new collaborations.
