Key advances in the development of artificial neural networks came from psychologists seeking to understand how the human mind works.
Neural Concept is helping launch products at 2X the speed. It does this by capturing past knowledge into AI-based ...
Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known ...
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, ...
SHANNON, CLARE, IRELAND, February 5, 2026 /EINPresswire.com/ -- A new publication from Opto-Electronic Technology; DOI ...
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'Thermodynamic computer' can mimic AI neural networks — using orders of magnitude less energy to generate images
Researchers generated images from noise, using orders of magnitude less energy than current generative AI models require.
“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...
The initial research papers date back to 2018, but for most, the notion of liquid networks (or liquid neural networks) is a new one. It was “Liquid Time-constant Networks,” published at the tail end ...
Researchers identify the Functional-Structural Ratio (FSR) as the biological link between age-related hearing loss and cognitive decline, offering a potential new biomarker for dementia risk.
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