As independent AI researcher Simon Willison wrote in a post distinguishing serious AI-assisted development from casual “ vibe ...

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

PPA constraints need to be paired with real workloads, but they also need to be flexible to account for future changes.

The orbitofrontal cortex (OFC) is critical to identifying task structure and to generalizing appropriately across task states with similar underlying or hidden causes. This capability is at the heart ...

Abstract: Recently, topological graphs based on structural or functional connectivity of brain network have been utilized to construct graph neural networks (GNN) for Electroencephalogram (EEG) ...

This valuable study links psychological theories of chunking with a physiological implementation based on short-term synaptic plasticity and synaptic augmentation. The theoretical derivation for ...

CATS-Net (Concept Abstraction and Task-Solving Network) is a comprehensive framework for understanding and implementing concept abstraction in neural networks. The system combines supervised learning ...

Abstract: Polar codes with large kernels offer improved error-correction performance but suffer from high decoding complexity due to costly marginalization operations. In this work, we propose neural ...

A typical R and Dense_NN training workflow is described by the following images or here as a YouTube video. Dense_NN.exe is installed in the bin directory. The ...