The advancement of artificial intelligence (AI) and the study of neurobiological processes are deeply interlinked, as a ...

The ViTFOX project—a collaboration between Europe and Korea—is developing an energy-efficient vision transformer architecture ...

Neuromorphic systems, systems that imitate the working method of the human brain, leverage specialized hardware, such as ferroelectric devices, to execute computations more efficiently and effectively ...

While the CTM shows strong promise, it is still primarily a research architecture and is not yet production-ready out of the box.

Abstract: Recently Vision Transformer (ViT) and Convolution Neural Network (CNN) start to emerge as a hybrid deep architecture with better model capacity, generalization, and latency trade-off. Most ...

Three phase power transformer secondaries that are set up in a delta configuration do not have an earthing or grounding point. By contrast, a wye configuration of windings would provide such a point, ...

While Vision Transformer (ViT) have achieved success across various ... To address this gap, we introduce OoD-ViT-NAS, the first systematic benchmark for ViT Neural Architecture Search (NAS) focused ...