In 1982 physicist John Hopfield translated this theoretical neuroscience concept into the artificial intelligence realm, with the formulation of the Hopfield network. In doing so, not only did he ...

Delaware-based TheStage AI is changing this paradigm with their innovative approach to neural network optimization. The startup recently announced a $4.5 million funding round to commercialize ...

This study introduces a novel approach for enhancing robotic path planning and navigation by optimizing point configuration through convolutional neural networks (CNNs). Faced with the challenge of ...

Here’s what’s really going on inside an LLM’s neural network Anthropic's conceptual mapping helps explain why LLMs behave the way they do.

In this paper, a knowledge based artificial neural network (KBANN) assisted evolutionary algorithm (EA) is presented for optimization of eye diagram characteristics of on-chip multi-layered graphene ...

Feed-forward neural networks (NNs) are a staple machine learning method widely used in many areas of science and technology, including physical chemistry, computational chemistry, and materials ...