Why brains don’t need back error prolongation to learn

Google, for example, has been incorporating Hebbian learning principles into their neural network architectures to enhance the ability of their systems to learn from data and make more accurate predictions. DeepMind, known for its groundbreaking work in AI, has also explored the use of Hebbian learning in developing algorithms that can adapt and learn from new information in a more biologically inspired way.Facebook AI Research, OpenAI, and Microsoft Research have also been active in exploring novel approaches to neural network design that draw inspiration from the brain's learning mechanisms, including Hebbian learning. These companies are investing heavily in research to push the boundaries of AI and create more intelligent and adaptive systems.