Neuroscientists want to understand how individual neurons encode information that allows us to distinguish objects, like ...

The study’s authors note that small neural networks — simplified versions of the neural networks typically used in commercial ...

TX—Integrated Aesthetics, a comprehensive aesthetics and wellness practice, has expanded its whole-person care model with the ...

In wireless visual sensor networks (WVSNs), coverage estimation is essential for optimizing network energy consumption and reducing deployment costs. In recent years, the majority of literature ...

We seem to collect information because we have the ability to do so, but we are so busy collecting it that we haven’t devised a means of using it. The true measure of any society is not what it knows ...

A new discovery of how bees use their flight movements to facilitate remarkably accurate learning and recognition of complex ...

Few-shot image classification with graph neural network (GNN) is a hot topic in recent years. Most GNN-based approaches have achieved promising performance. These methods utilize node features or ...

It seems, it turns out, that those pep talks in the mirror and zoftig reminders under the discount sauce in the grocery store ...

Active vision dynamically refines spatiotemporal neural representations, optimising visual processing through scanning behaviour and non-associative learning, providing insights into efficient sensory ...

How reliable is artificial intelligence, really? An interdisciplinary research team at TU Wien has developed a method that ...