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Dear Colleagues,

We are excited to invite you to attend our upcoming Â鶹ӳ»­ AI Day on 19^th January 2026 (please book your ticket with your Â鶹ӳ»­ email address): 

This event is an excellent opportunity to share your work, engage with peers, and foster collaborations within our academic community.

We are excited to announce our keynote speaker is prof. Eleni Vasilaki - Head of the Machine Learning research group, Member of the Complex Systems Modelling research group at the University of Sheffield.

Title:
Tackling Reliability and Scalability in Neuromorphic Computing via Noise-aware Learning

Abstract:
Neuromorphic computing has evolved into a broad label covering technologies ranging from biologically inspired systems to machine-learning-style architectures. Computing with materials is often promoted as a potentially energy-efficient alternative to conventional hardware, but some of these claims lack robust empirical support. In this talk I will outline key challenges in the field, with a focus on variability and scalability. I will present concrete examples from my recent work showing how noise-aware learning in systems with stochastic, device-level behaviour can help mitigate variability and improve robustness. These results suggest that while variability poses real constraints, it can be addressed through appropriate learning strategies.

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By: Aleks Kossowska
Last updated: Wednesday, 17 December 2025