AI is being used to model gene regulation and predict cellular behavior from transcriptomic data. Learn how these tools aid ...

Artist Terence Broad makes AI produce images without any training data at all.

Partial differential equations (PDEs) are a class of mathematical problems that represent the interplay of multiple variables ...

The study, published June 5 in Nature Methods, used imaging data from the Human Connectome Project to align neural activity with ... The brain consists of a complex network of interconnected ...

Abstract: Intelligent systems could be increasingly powerful by applying probabilistic inferences over the dependence relations among observed and latent variables, which could be represented by the ...

Abstract: Graph Neural Network (GNN) is a popular semi-supervised graph representation learning method, whose performance strongly relies on the quality and quantity of labeled nodes. Given the ...

Nguyen, TG.L., Ardizzone, L., Köthe, U. (2019). Training Invertible Neural Networks as Autoencoders. In: Fink, G., Frintrop, S., Jiang, X. (eds) Pattern Recognition ...