In this work, a network for the segmentation of multiple brain regions has been proposed that is based on 3D convolutional neural networks and utilizes residual learning and dilated convolution ...

Innatera, a developer of neuromorphic processors, has launched Pulsar, its first commercially available microcontroller to ...

Researchers developed multiple architectures, including U-Net 2D and 3D CNNs, as well as a Vision Transformer (ViT), to ...

Nvidia's GB10 and GB300 chips power a new class of PCs that will redefine how professionals work with AI. But that's just the ...

As Innatera’s first mass-market neuromorphic MCU, Pulsar delivers intelligence at the edge by emulating the brain’s neural ...

Innatera, a developer of neuromorphic processors, today announced Pulsar, which the company said is the first commercially ...

GenAI extends traditional AI, in particular, Discriminative AI, by generating new medical content, rather than just analyzing ...

In a groundbreaking achievement, published in the journal PLOS One, researchers have identified the author and title of an ancient text that lay sealed inside a charred scroll for nearly 2,000 years.

Traditional deep neural networks typically only focus on the spatial and temporal features of EEG, resulting in relatively low decoding and accuracy rates for motor imagery tasks. To address these ...

The visual network is composed of a cascaded convolutional neural network–time convolutional network (CNN-TCN). In the EEG network, the 3D feature building module was added to integrate band ...

In this paper, we present a run-time configurable convolutional neural network (CNN) inference ASIC design for low-latency edge machine learning. By implementing a 5-stage pipelined CNN inference ...