How a Paper Changed My Research Career: Dan Goodman on Reigniting the Field of Spiking Neural Networks

In the "This Paper Changed My Life" series, neuroscientists reflect on papers that have profoundly influenced their careers ...
eWeek

Neural Networks vs. Deep Learning

Binary digits and circuit patterns forming a silhouette of a head. Neural networks and deep learning are closely related artificial intelligence technologies. While they are often used in tandem, ...
Nature

Neural Architecture Search and Machine Learning Optimization

Neural architecture search (NAS) and machine learning optimisation represent rapidly advancing fields that are reshaping the way modern systems are designed and deployed. By automating the process of ...
TMCnet

Superiorstar Prosperity Group under Russell Hawthorne implements neural network models

New York, NY, Sept. 27, 2025 (GLOBE NEWSWIRE) -- Announcement and strategic context ...
InfoWorld

The most popular neural network styles and how they work

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...
Morning Overview on MSN

Neural network predicts volcanic eruptions

In recent years, predictive technologies for volcanic eruptions have advanced significantly, particularly with the ...
Gizmodo

Machine Learning vs. Deep Learning: What’s the Difference?

Artificial intelligence is everywhere these days, but the fundamentals of how this influential new technology work can be difficult to wrap your head around. Two of the most important fields in AI ...