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.

Schematic representation of the ultra-lightweight artificial intelligence model architecture and training process based on a massive-training artificial neural network (MTANN).

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

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.