AI learns like a brain, strengthening connections
Inspired by the brain, AI neural networks mimic synaptic strengthening by tweaking connection weights, enabling them to learn intricate patterns and potentially offering insights into brain disorders.
Artificial neural networks, the core of modern AI, learn patterns by adjusting numerical weights connecting their virtual neurons. This mirrors how biological synapses in our brains strengthen during learning, a process called synaptic plasticity. For instance, in computer vision, AI adjusts weights to recognize edges in photos, much like our visual cortex. This efficiency allows a single network to process billions of parameters, powering breakthroughs like AlphaGo's victory over human Go champions. Studying these AI adjustments could even offer insights into brain disorders like Alzheimer's.