"The ChatGPT moment for physical AI is here — when machines begin to understand, reason, and act in the real world," Nvidia ...

Veronika Koren talks about pursuing a theory of neural coding that doesn’t fit a simple narrative, and the resilience it took to see it through.

A research team from Peking University has successfully developed a vanadium oxide (VO₂)-based “locally active memristive ...

New research shows that AI doesn’t need endless training data to start acting more like a human brain. When researchers ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write ...

Abstract: Ordered statistics decoding has been instrumental in addressing decoding failures that persist after normalized min-sum decoding in short low-density parity-check codes. Despite its benefits ...

Simple Artificial Neural Networks (SANN) is a naive Python implementation of an artificial neural network (ANN) that's useful for educational purposes and clarifying the concepts of feed-forward ...

Neural processing unts (NPUs) are the latest chips you might find in smartphones and laptops — but what are they ard why are they so important? When you purchase through links on our site, we may earn ...

Abstract: Neural fields, also known as coordinate-based multi-layer perceptrons (MLPs), have recently achieved impressive results in representing low-dimensional data. Unlike convolutional neural ...