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

Researchers have long been interested in how humans and animals make decisions by focusing on trial-and-error behavior ...

Cracking the code to becoming an AI genius isn't about shortcuts—it’s a marathon of mathematical rigor, deep learning mastery ...

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) ...

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 is an extension of a demo at 14th Cellular Nanoscale Networks and Applications (CNNA) Conference 2014. I have written a blog post, available at Image Processing in CNN with Python on Raspberry Pi ...

Deep Neural Nets architectures are complex. Training them induces a greedy need for computing power and storage. This complexity is due to the large number of layers and parameters needed to achieve ...

In this paper, we study the effect of three different quantum image encoding approaches on the performance of a convolution-inspired hybrid quantum-classical image classification algorithm called ...

Thanks to the neural network, the researchers now suspect, for example, that the black hole at the center of the Milky Way is spinning almost at top speed. Its rotation axis points to Earth.