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

AI gaming platform Neural has announced their expansion to the Solana blockchain, marking a major milestone in the Creator ...

In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...

It's part of a whirlwind of battery breakthroughs happening around the world that are providing better components, chemistry, ...

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 ...

As we advance towards 6G communication systems, the number of network devices continues to increase resulting in spectrum scarcity. With the help of Spectrum Sensing (SS), Cognitive Radio (CR) ...

Key Takeaways Sunday puzzle solving activates the same neural networks that made childhood rainbow spotting feel like ...

In today's hyper-connected world, cyber threats are evolving faster than ever, outsmarting traditional security tools. This ...

Official implementation and desktop software for "Packing Input Frame Context in Next-Frame Prediction Models for Video Generation". Links: Paper, Project Page FramePack is a next-frame ...

This framework could then be integrated with existing neuroscience theories. To develop their framework, they employed artificial neural networks (ANNs) trained via reinforcement learning.

This repository is the open source code for my latest work: "Through-the-Wall Radar Human Activity Recognition WITHOUT Using Neural Networks", submitted to arXiv. Fig. 1. Current works in this field ...