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.

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.

Similarly, a spiking neural network only begins processing data when there is an input into the system, rather than constantly processing data like traditional neural networks.

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.

Scientists hope to accelerate the development of human-level AI using a network of powerful supercomputers — with the first of these machines fully operational by 2025.