Scientist.com hosts webinar series exploring the fundamentals of neural networks, LLMs, and the latest applications of AI in the life sciences.

What is needed for a neural network in machine learning are artificial neurons which are activated by external excitatory signals, and which have connections to other neurons.

What are "Neural Networks?" Neural networks are a key technology in artificial intelligence (AI) that are inspired by the human brain's structure and functioning.

Artificial intelligence startup Anthropic PBC says it has come up with a way to get a better understanding of the behavior of the neural networks that power its AI algorithms.

The article presents a study of various approximation cases with a specific group of polynomials and feedforward artificial neural networks. A comparative analysis of the results obtained has been ...

Training Transformers Large language models are built around mathematical structures called artificial neural networks. The many “neurons” inside these networks perform simple mathematical operations ...

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 ...

AI models like artificial neural networks and language models help scientists solve a variety of problems, from predicting the 3D structure of proteins to designing novel antibiotics from scratch.

The development of neural networks to create artificial intelligence in computers was originally inspired by how biological systems work.

Neural networks are now applied across the spectrum of AI applications while deep learning is reserved for more specialized or advanced AI use cases.