New training technique for highly efficient AI methods

AI applications like ChatGPT are based on artificial neural networks that, in many respects, imitate the nerve cells in our brains. They are trained with vast quantities of data on high-performance computers, gobbling up massive amounts of energy in the process. Spiking neurons, which are much less energy-intensive, could be one solution to this problem. In the past, however, the normal techniques used to train them only worked with significant limitations. A recent study has now presented a possible new answer to this dilemma, potentially paving the way for new AI methods that are much more energy-efficient.
http://news.poseidon-us.com/THMMhX