Advances in Neural Networks

Early neural networks were basic but groundbreaking, as they could learn from data without programmed rules. Despite their flaws, they marked significant progress. Subsequent developments in neural networks greatly enhanced visual recognition capabilities, leading to applications like facial recognition and tracking. However, the full implications of these advancements, such as their impact on privacy, employment, elections, and misinformation, were hard to foresee at the time.