Paper of Imran Nasim on data-driven numerical surrogates accepted for leading AI conference in Canada

The paper “Fine-tuned MLP-Mixer foundation models as data-driven numerical surrogates?“, co-authored by Imran Nasim and Joao Lucas de Sousa Almeida (IBM Brazil), has been accepted for presentation and publication at the NeurIPS 2024 Conference (38th Annual Conference on Neural Information Processing Systems) to be held 10 December through 15 December in Vancouver (link here). Imran is a Visiting Lecturer in Mathematics at Surrey and an AI Engineer at IBM Research Europe (link here). An electronic version of the manuscript is available (link here). The image below is Figure 1 from the paper.