Leveraging insights from neuroscience to build adaptive artificial intelligence (www.nature.com)

Recent advances in neuroscience are paving the way for the development of adaptive artificial intelligence (AI) that can learn and respond like biological organisms. A new perspective emphasizes "adaptive intelligence," which seeks to create AI systems that can adjust their behaviors in real-time based on environmental feedback, much like animals do. This research reviews the neural and behavioral foundations of biological intelligence and aligns them with ongoing advancements in AI, suggesting that insights from how animals learn and adapt can help build more responsive and flexible AI algorithms. The significance of this research lies in its potential to move beyond traditional static AI frameworks toward systems that can generalize knowledge and adapt rapidly to new situations. By tapping into concepts like online learning and predictive coding drawn from neuroscience, AI developers can create models that are not just reactive but also proactive in their learning processes. This shift could lead to breakthroughs in various applications, from robotics to personalized learning systems, reinforcing the blend of biological principles with computational techniques to enhance machine intelligence.