Scenarios about 'neural networks'
Neural networks are computational models inspired by the human brain's structure and function, consisting of interconnected artificial neurons that process and transmit information. Developed since the mid-20th century, these systems form the backbone of modern artificial intelligence, enabling pattern recognition, decision-making, and learning from data. In alternate history scenarios, neural networks often feature in technological divergences where computing evolution takes different paths, potentially accelerating or altering the development of intelligent machines.
What If Deep Learning Never Emerged?
Exploring the alternate timeline where deep learning algorithms never achieved their breakthrough moment, dramatically altering the development of artificial intelligence and technological progress in the 21st century.
What If Machine Learning Never Advanced?
Exploring the alternate timeline where machine learning technology stalled in the early 2000s, never achieving the breakthroughs that revolutionized AI and transformed virtually every sector of the global economy.