Tech Xplore on MSN

Brain-inspired computing: Using noise to regulate information flow in neural networks

Researchers have developed a learning mechanism that uses the natural variability of neural activity—often dismissed as ...
Greenbot

Neural Networks and Deep Learning Explained

Stephane is a tech enthusiast and AI advocate with a deep-seated passion for leveraging technology to solve real-world problems. With a background in Chemistry and hands-on experience in AI,... We ...
Medical Xpress

A recurrent neural network-based framework to non-linearly model behaviorally relevant neural dynamics

A key objective of several neuroscience studies is to understand and model how the dynamics of distinct populations of neurons give rise to specific human and animal behaviors. Many existing methods ...
Booth School of Business

Paper Recurrent Neural Networks for Nonlinear Time Series

This study bridges classical time-series econometrics with modern machine learning by establishing theoretical performance guarantees for recurrent neural networks (RNNs) applied to complex ...

Learning without a brain – how bacteria store memories and remember the past like artificial neural networks

Learning is often thought to require a brain. But learning is a broad concept that does not necessarily depend on neurons. If ...
Ars Technica

How a stubborn computer scientist accidentally launched the deep learning boom

During my first semester as a computer science graduate student at Princeton, I took COS 402: Artificial Intelligence. Toward the end of the semester, there was a lecture about neural networks. This ...