1950 — PRESENT
The AI Revolution
A visual journey through the milestones that shaped artificial intelligence — from a thought experiment in 1950 to generative models reshaping every industry today.
01 · 1950
The Turing Test
Turing asked: can a machine convince a human it is thinking? The question reshaped how we define intelligence.
↗Alan Turing
02 · 1956
Dartmouth Conference
AI was formally named and established as an academic field, uniting its founding visionaries.
↗McCarthy, Minsky, Shannon
03 · 1960s–70s
Symbolic AI
Logic and hand-written rules worked in controlled settings, but struggled with ambiguity, common sense, and real-world complexity.
04 · 1974–1980
First AI Winter
Funding and confidence declined after early AI systems failed to meet ambitious expectations.
05 · 1980s
Expert Systems
Encoded human expertise for narrow tasks — valuable for business, but fragile and costly to maintain.
06 · 1987–1993
Second AI Winter
The expert-system boom collapsed as systems proved costly, brittle, and difficult to scale.
07 · 1997
IBM Deep Blue
Deep Blue defeated world chess champion Kasparov — AI had surpassed a human master in a complex game.
↗IBM · Garry Kasparov
08 · 2000s
Machine Learning
With more data and internet-scale platforms, machine learning became central to search, ads, recommendations, and ranking systems.
↗Google, Amazon, Apple
09 · 2012
AlexNet & Deep Learning
AlexNet used GPUs, large datasets, and deep neural networks to dramatically improve image recognition.
↗Krizhevsky, Sutskever, Hinton
10 · 2016
AlphaGo
DeepMind conquered Go — once considered too complex for any computer — with reinforcement learning.
↗Google DeepMind · Lee Sedol
11 · 2020s
Generative AI
Large generative models brought AI into everyday work, creating text, code, images, audio, and other content from prompts.
↗OpenAI, Anthropic, Google
12 · Future
Future AI
AI may move toward more multimodal, personalized, and agentic systems, while raising new questions about reliability, safety, and governance.
01 · 1950
The Turing Test
Turing asked: can a machine convince a human it is thinking? The question reshaped how we define intelligence.
↗Alan Turing
02 · 1956
Dartmouth Conference
AI was formally named and established as an academic field, uniting its founding visionaries.
↗McCarthy, Minsky, Shannon
03 · 1960s–70s
Symbolic AI
Logic and hand-written rules worked in controlled settings, but struggled with ambiguity, common sense, and real-world complexity.
04 · 1974–1980
First AI Winter
Funding and confidence declined after early AI systems failed to meet ambitious expectations.
05 · 1980s
Expert Systems
Encoded human expertise for narrow tasks — valuable for business, but fragile and costly to maintain.
06 · 1987–1993
Second AI Winter
The expert-system boom collapsed as systems proved costly, brittle, and difficult to scale.
07 · 1997
IBM Deep Blue
Deep Blue defeated world chess champion Kasparov — AI had surpassed a human master in a complex game.
↗IBM · Garry Kasparov
08 · 2000s
Machine Learning
With more data and internet-scale platforms, machine learning became central to search, ads, recommendations, and ranking systems.
↗Google, Amazon, Apple
09 · 2012
AlexNet & Deep Learning
AlexNet used GPUs, large datasets, and deep neural networks to dramatically improve image recognition.
↗Krizhevsky, Sutskever, Hinton
10 · 2016
AlphaGo
DeepMind conquered Go — once considered too complex for any computer — with reinforcement learning.
↗Google DeepMind · Lee Sedol
11 · 2020s
Generative AI
Large generative models brought AI into everyday work, creating text, code, images, audio, and other content from prompts.
↗OpenAI, Anthropic, Google
12 · Future
Future AI
AI may move toward more multimodal, personalized, and agentic systems, while raising new questions about reliability, safety, and governance.
Ideas
Early AI began with theories about machine intelligence.
Limits
AI Winters showed the gap between ambition and technical reality.
Breakthroughs
GPUs, cloud computing, and large datasets accelerated deep learning.
Future
Generative AI and Quantum AI point toward new possibilities.