
Artificial intelligence is becoming increasingly ubiquitous in our daily lives, from virtual personal assistants to self-driving cars. As the demand for faster and more efficient AI algorithms grows, researchers are now looking toward the human brain for inspiration. In new research published in Scientific Reports, scientists are exploring the potential for brain-inspired shallow feedforward networks to efficiently learn non-trivial classification