This British mathematician asked the famous question, "Can Machines Think?"
Who is Alan Turing?
In what year was the Turing Test proposed?
What is 1950?
The term for periods when AI funding and research significantly declined.
What is an AI Winter?
The 1958 model that became the ancestor of today's neural networks.
What is the Perceptron?
AI capable of generating text, images, audio, and videos.
What is Generative AI?
This test determines whether a machine can imitate intelligent human conversation.
What is the Turing Test?
The event in 1956 is considered the birth of AI.
What is the Dartmouth Summer Research Project?
The main reason the first AI Winter occurred.
What is unrealistic expectations exceeding actual AI capabilities?
The learning algorithm that enabled neural networks to improve by adjusting weights.
What is Backpropagation?
AI that understands and combines text, images, and audio.
What is Multimodal AI?
This 1956 workshop officially marked the birth of Artificial Intelligence as a research field.
What is the Dartmouth Summer Research Project?
The chatbot developed in 1966 that imitated a psychotherapist.
What is ELIZA?
The report that led to major AI funding cuts in the United Kingdom.
What is the Lighthill Report?
DeepMind's AI that defeated a world champion in Go.
What is AlphaGo?
AI systems that autonomously perform multi-step tasks.
What are AI Agents?
He coined the term "Artificial Intelligence."
Who is John McCarthy?
IBM's computer that defeated Garry Kasparov in 1997.
What is Deep Blue?
The technology whose commercial collapse contributed to the second AI Winter.
What are Expert Systems?
This machine learning approach helped AlphaGo improve by learning through trial and error.
What is Reinforcement Learning?
AI models that run directly on devices instead of relying on cloud servers.
What is Edge AI?
Name TWO other founders of the Dartmouth Conference besides John McCarthy.

Who is Marvin Minsky?
Who is Claude Shannon?
Who is Nathaniel Rochester?
This 2012 breakthrough proved that deep neural networks trained with large datasets and GPUs could significantly outperform previous image-recognition methods, ushering in the modern era of deep learning.
What is AlexNet?
This recurring cycle occurs when AI breakthroughs create high expectations, followed by limited results, funding cuts, and eventual recovery.
What is the AI boom-and-bust cycle (AI hype cycle)?
The architecture introduced by the paper "Attention Is All You Need."
What is the Transformer?
The preferred way to discuss AI's future based on evidence rather than certainty.
What are plausible futures?