Hopfield Neural Networks (HNNs) constitute a class of recurrent neural networks that function as associative memory systems, adept at converging towards stable states that represent optimised ...

On the customer-facing side, Amazon has introduced Rufus, a new generative AI-powered conversational shopping experience. It ...

Blending ‘old-fashioned’ logic systems with the neural networks that power large language models is one of the hottest trends in artificial intelligence.

Past psychology and behavioral science studies have identified various ways in which people's acquisition of new knowledge ...

In a previous article, we explored the Strong Artificial Intelligence Hypothesis, first presenting a low-level description based on the notion of a neural network (bottom-up framework). In this work, ...

A new framework that causes artificial neural networks to mimic how real neural networks operate in the brain has been ...

Q: What is a logical network is and why are they important? Also, what are the best solutions or measurements are to improve logical networks.? A: The term "logical network" is usually combined with ...

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 ...

Parts of the brain are "rewired" when people learn computer programming, according to new research. Scientists watched university students’ brains as they learned to code. The team used functional ...