SHANNON, CLARE, IRELAND, February 5, 2026 /EINPresswire.com/ -- A new publication from Opto-Electronic Technology; DOI ...

Key advances in the development of artificial neural networks came from psychologists seeking to understand how the human mind works.

Researchers generated images from noise, using orders of magnitude less energy than current generative AI models require.

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 ...

A Queen’s research team has developed a new way to train AI systems so they focus on the bigger picture instead of specific, ...

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known ...

Another theory held that the forces between two particles falls off exponentially in direct relationship to the distance between two particles and that the factor by which it drops is not dependent on ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

Lab-grown brain tissue learned to balance a virtual pole with 46% accuracy, revealing how living neural networks adapt and ...

Neural Concept is helping launch products at 2X the speed. It does this by capturing past knowledge into AI-based ...

The best way to understand neural networks is to build one for yourself. Let's get started with creating and training a neural network in Java. Artificial neural networks are a form of deep learning ...