Researchers at TUM have now shown that artificial neural networks - which mimic the function of the brain - can also benefit from this kind of pre-training.

Compared to other regression techniques, a well-tuned neural network regression system can produce the most accurate prediction model, says Dr. James McCaffrey of Microsoft Research in presenting this ...

Alongside text-based large language models (LLMs), including ChatGPT in industrial fields, GNN (Graph Neural Network)-based graph AI models that analyze unstructured data such as financial ...

There is a limitation of simple Neural Networks when it comes to dealing with images. They become extremely slow at training and processing images.

This technique is based on artificial neural networks, inspired by our biological neurons and by the way they transmit electrical signals to each other in the brain.

What goes on in artificial neural networks work is largely a mystery, even to their creators. But researchers from Anthropic have caught a glimpse.

A hybrid approach to AI is powering Amazon’s Rufus shopping assistant and cutting-edge warehouse robots.