Brain-inspired AI learns to make more accurate predictions
Feature-space noise in ANNs: Boosts resilience, thwarts attacks. Deeper layer noise: Cuts input manipulation risk. Robust networks: Handle real-world challenges. Researchers at the University of Tokyo Graduate School of Medicine have developed a novel method to enhance the resilience of artificial neural networks (ANNs) against adversarial attacks. ANNs, inspired by the human brain, are prone … Read more