This week we are celebrating PhD milestones! Sachin Kahawala's Pre-submission Review: Thesis title: Energy Efficient Artificial Intelligence using Vector Symbolic Architectures Highlights: Development of three new algorithms, GVFA achieved state-of-the-art results in graph node classification, applications in Smart City IoT infrastructure Dilantha Haputhanthri's Mid-Candidature Review: Thesis title: Sparsity for Energy Efficient AI Algorithms and Applications Highlights: Accuracy and efficiency of Sparse Block Codes in classification performance across 120 datasets, Sparse Deep Learning in FCAS markets for solar power forecasting and solar degradation prediction Chamod Samarajeewa's Mid-Candidature Review: Thesis title: Brain-inspired Approach for Causal Artificial Intelligence with Practical Applications in Sustainable Development Highlights: XAI for Crowd Forecasting using ESN, Explainable Drift Detection in Energy Forecasting, RAG for Causal Reasoning in Gen AI foundational models Congratulations to the PhD candidates, supervisors, Daswin de Silva, Evgeny Osipov, Denis Kleyko, Nishan Mills and our visionary leaders in VSA, Ross Gayler and Dmitri Rachkovskij. Here's the brief on VSA/HD computing for anyone curious: https://lnkd.in/dZSDM3i9 #airesearch #hdcomputing #smallai #responsibleai #latrobe #aistrategy
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