In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...

Continual learning models allow them to learn and adapt to new changes and tasks over time. However, in continual and sequential learning scenarios, in which the models are trained using different ...

Graph convolutional neural networks (GCNs) have demonstrated effectiveness in processing graph structure. Due to the diversity and complexity of real-world graph data, heterogeneous GCN have attracted ...

Prasun Chaudhuri speaks to expert Subrata Das about the opportunities. Das is currently an adjunct faculty member at ...

M. Janssen et al, Deep learning inference with the Event Horizon Telescope II. The Zingularity framework for Bayesian artificial neural networks, Astronomy & Astrophysics.