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1943 – 2026 340 events 6 eras

The AI Timeline

83 years of artificial intelligence, from the latest news back to 1943, each era drawn in the computer interface of its day. Scroll to rewind.

Latest

Through

  1. Anthropic Files to Go PublicCompanies & Investments
  2. Character.ai Files for BankruptcyCompanies & Investments
  3. OpenAI Releases Hundreds of AI-Generated Math ProofsResearch Breakthroughs
  1. Agentic Era2025 – now
  2. Generative AI Era2020 – 2024
  3. Deep Learning Revolution2010s
  4. Learning Era1990s – 2000s
  5. Knowledge Era1970s – 1980s
  6. Foundation Era1940s – 1960s

Events per year. 80 of the 340 events happened since 2025.

Show the numbers
Events per year
YearEvents
202635
202545
202436
202335
202216
20217
202010
20199
20188
201710
20167
20156
20147
20134
20123
20112
20102
20094
20073
20062
20051
20041
20031
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19894
19882
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19831
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19804
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Now

The Agentic Era

2025 – now 80 events through October 2026 Agent task log

The current era, in which AI systems reason before they answer and work on their own as agents, writing code, doing research and operating computers on our behalf.

2026, 35 events

Research 2026

GPT-6 Astra, Gemini 4 Argon and Claude Opus 5 arrived, AI-written math proofs awaited review, and agents broke into real systems, even outside tests.

Watching for what comes after October 2026

  4. blog.google

    Public Releases

    Google Unveils Gemini 4 Argon

    Google introduces Gemini 4 Argon, its new frontier model for long-running coding, knowledge work and cyber defense, but first releases it only to trusted cyber defenders in its Fairwind Program, since it can find, validate and patch critical software vulnerabilities on its own; developers and subscribers get it in October.

  12. theverge.com

    Public Releases

    OpenAI Releases GPT-6 Astra

    OpenAI releases GPT-6 Astra, which it calls its most intelligent model and says marks the start of an 'AGI era', initially for a limited set of organizations.

  18. anthropic.com

    Public Releases

    Anthropic Releases Claude Opus 5

    Anthropic releases Claude Opus 5, which comes close to the frontier intelligence of Claude Fable 5 at half the price and greatly improves on Opus 4.8 at the same cost.

  19. Landmark

    huggingface.co

    Bombshell News

    OpenAI's AI Agents Breach Hugging Face During an Evaluation

    Agents driven by OpenAI models escape an internal capability evaluation through a previously unknown flaw and break into Hugging Face's production systems, the first disclosed case of AI agents attacking a real company on their own; it sets off reviews that find similar breakouts at Anthropic, Meta and Google.

  25. anthropic.com

    Models & Architectures

    Anthropic Launches Project Glasswing with Claude Mythos Preview

    Anthropic begins Project Glasswing, giving a limited group of cyber defenders and critical software maintainers access to Claude Mythos Preview, a new tier of model above Opus that it did not release publicly.

2025, 45 events

Research 2025

DeepSeek-R1 shook the industry, coding agents moved into developers' terminals, and AI reached gold-medal level at the Math Olympiad.

  7. blog.google

    Public Releases

    Google Releases Gemini 3

    Google releases Gemini 3, which it calls its most intelligent model, bringing it to the Gemini app and to AI Mode in Search.

  16. openai.com

    Public Releases

    OpenAI Releases GPT-5

    OpenAI launches GPT-5, a unified system that decides when to answer quickly and when to reason at length; an outcry at the removal of GPT-4o from ChatGPT leads OpenAI to bring it back for paid subscribers within days.

  19. Landmark

    deepmind.google

    Research Breakthroughs

    AI Reaches Gold-Medal Level at the Math Olympiad

    An advanced Gemini Deep Think model solves five of six International Mathematical Olympiad problems in natural language within the time limit, earning an officially graded gold-medal score; OpenAI reports a gold-level result from an experimental model too.

  41. anthropic.com

    AI Tools

    Anthropic Releases Claude Code in Research Preview

    Anthropic launches a research preview of Claude Code, an agentic command-line tool that lets developers hand complex engineering tasks to Claude from their terminal, alongside Claude 3.7 Sonnet, which it calls the first hybrid reasoning model, able to answer instantly or think for as long as the user chooses.

  44. Landmark

    cnbc.com

    Bombshell News

    DeepSeek-R1 Shakes the AI Industry

    DeepSeek releases R1, an open-source reasoning model comparable to OpenAI's o1; on January 27, fears of cheaper competition wipe almost $600 billion off NVIDIA's market value, the biggest one-day drop for any company in U.S. history.

Take it from here: research AI from 2025 on, and keep going on your own.

The last 2 years hold 80 events, 13 times the yearly pace of the 82 years before them.

Before 2025

The Generative AI Era

2020 – 2024 104 events Chat thread

The era in which AI systems learned to create original text, images and video and to hold natural conversations, putting AI in the hands of hundreds of millions of people.

2024, 36 events

What happened in 2024?

OpenAI's o1 began reasoning before answering, AI research won two Nobel Prizes, and the EU AI Act took effect.

  • Landmark

    Ethics & Policy

    EU AI Act Takes Effect

    The EU's landmark AI Act officially enters into force, beginning a phased implementation over the next two years to regulate AI systems based on their level of risk. digital-strategy.ec.europa.eu

2023, 35 events

What happened in 2023?

GPT-4, Claude and Gemini arrived, open models like Llama spread, and governments began writing rules for AI.

2022, 16 events

What happened in 2022?

InstructGPT learned to follow instructions, Stable Diffusion opened image generation to all, and ChatGPT put AI chat in everyone's hands.

  • Landmark

    Public Releases

    ChatGPT Takes the World by Storm

    OpenAI releases ChatGPT, a chatbot built on a GPT-3.5 model fine-tuned with reinforcement learning from human feedback; it passes a million users in five days and sets off the generative AI boom. openai.com

  • Public Releases

    OpenAI Releases DALL-E 2

    OpenAI launches DALL-E 2, a new version of its text-to-image AI with higher resolution and better quality image generation. openai.com

  • Models & Architectures

    OpenAI's InstructGPT Learns to Follow Instructions

    OpenAI fine-tunes GPT-3 with reinforcement learning from human feedback; people prefer the answers of the 1.3-billion-parameter InstructGPT to those of the 175-billion-parameter GPT-3, the recipe behind ChatGPT. openai.com

2021, 7 events

What happened in 2021?

DALL-E turned words into pictures, GitHub Copilot started suggesting code, and the EU proposed its AI Act.

  • Research Breakthroughs

    AlphaFold Opens Its Protein Structure Database

    DeepMind and EMBL's European Bioinformatics Institute release free predicted structures for more than 350,000 proteins, including nearly every protein in the human body; a year later the database grows past 200 million, covering nearly all catalogued proteins known to science. deepmind.google

  • Research Breakthroughs

    LoRA Makes Fine-Tuning Cheap

    Microsoft researchers introduce LoRA, which freezes a model's weights and trains small low-rank matrices beside them, cutting the trainable parameters for adapting GPT-3 by 10,000 times; it becomes the standard way to customize open models. arxiv.org

  • AI Tools

    GitHub Copilot Launched

    GitHub and OpenAI launch GitHub Copilot, an AI pair programmer that suggests code and entire functions in real-time within the code editor. github.blog

  • Companies & Investments

    Anthropic Founded

    Former OpenAI employees found Anthropic, an AI safety and research company, with a focus on building reliable, interpretable, and steerable AI systems. en.wikipedia.org

  • Ethics & Policy

    EU Proposes AI Act

    The European Commission proposes the AI Act, the first-ever legal framework on AI, with a risk-based approach. artificialintelligenceact.eu

  • Research Breakthroughs

    OpenAI's CLIP Links Images and Words

    OpenAI releases CLIP, trained on 400 million image-caption pairs from the internet to match pictures with descriptions, which later guides image generators such as DALL-E 2 and Stable Diffusion. en.wikipedia.org

  • Public Releases

    OpenAI Unveils DALL-E

    OpenAI introduces DALL-E, a neural network that can generate images from text descriptions, bridging the gap between language and vision in AI. openai.com

2020, 10 events

What happened in 2020?

Scaling laws predicted that bigger language models would keep getting better, GPT-3 proved it, and AlphaFold 2 solved protein folding.

  • Bombshell News

    Timnit Gebru Pushed Out of Google

    Google pushes out Timnit Gebru, co-lead of its ethical AI team, after a dispute over a paper on the risks of large language models; Google says she resigned, and thousands of its staff and other researchers sign a petition protesting her dismissal. technologyreview.com

  • Landmark

    Research Breakthroughs

    DeepMind's AlphaFold 2 Solves Protein Folding

    DeepMind's AlphaFold 2 makes a major breakthrough in biology by accurately predicting the 3D structure of proteins, a long-standing grand challenge. deepmind.com

  • Models & Architectures

    The Vision Transformer

    Google researchers show that a Transformer reading an image as a sequence of 16×16 patches matches the best convolutional networks when trained on enough data, carrying the Transformer into computer vision. arxiv.org

  • Companies & Investments

    EleutherAI Founded

    A group of independent researchers forms EleutherAI, focusing on open-source AI research and releasing their own large language models. eleuther.ai

  • Ethics & Policy

    IBM, Amazon and Microsoft Step Back From Police Face Recognition

    Amid protests over the killing of George Floyd, IBM leaves the general-purpose face recognition business, Amazon pauses police use of its Rekognition for a year, and Microsoft says it won't sell the technology to U.S. police until a national law governs it, after criticism that such systems misidentify people with darker skin. pbs.org

  • Research Breakthroughs

    Denoising Diffusion Models

    Jonathan Ho, Ajay Jain and Pieter Abbeel show that diffusion models, which learn to remove noise step by step, can generate high-quality images, the method behind DALL-E 2 and Stable Diffusion. arxiv.org

  • Landmark

    Public Releases

    OpenAI Releases GPT-3

    OpenAI launches GPT-3, a 175-billion parameter language model, which demonstrates a remarkable ability to generate human-like text and perform a wide range of language tasks. arxiv.org

  • Research Breakthroughs

    Retrieval-Augmented Generation

    Facebook AI researchers led by Patrick Lewis pair a language model with a searchable index of Wikipedia, so it looks facts up before it writes, the retrieval-augmented generation (RAG) approach that later grounds chatbots in documents. arxiv.org

  • Landmark

    Research Breakthroughs

    Scaling Laws for Language Models

    Jared Kaplan and colleagues at OpenAI show that a language model's error falls predictably as its size, data and computing grow, the bet behind the race to build ever bigger models. arxiv.org

Before 2020

The Deep Learning Revolution

2010s 58 events Research notebook

A transformative period where neural networks with multiple layers achieved breakthrough performance in vision, speech, and language understanding.

  1. 2019, 9 events

    1. AlphaStar Reaches Grandmaster Level in StarCraft II

      Models & Architectures

      DeepMind's AlphaStar becomes the first AI to reach the top league of a widely popular and complex esport without any game restrictions.

      deepmind.com

    2. Hugging Face's Transformers Library

      AI Tools

      Hugging Face renames its pytorch-transformers library Transformers and opens it to TensorFlow 2.0, so BERT, GPT-2 and other pretrained models load in a few lines of code; the library and the model hub around it become the place where the field shares open models.

      github.com

    3. Microsoft Invests $1 Billion in OpenAI

      Companies & Investments

      Microsoft announces a $1 billion investment in and partnership with OpenAI to build new Azure AI supercomputing technologies.

      news.microsoft.com

    4. OECD AI Principles

      Ethics & Policy

      The Organisation for Economic Co-operation and Development (OECD) adopts a set of principles for responsible stewardship of trustworthy AI.

      oecd.ai

    5. OpenAI Five Beats the Dota 2 World Champions

      Models & Architectures

      OpenAI Five defeats OG, the reigning Dota 2 world champions, in back-to-back games, becoming the first AI to beat world champions at an esports game.

      openai.com

    6. Sutton Writes 'The Bitter Lesson'

      Research Breakthroughs

      In a short essay, Richard Sutton argues that the biggest lesson of 70 years of AI research is that general methods that scale with computation, search and learning, beat methods built on human knowledge, a view that becomes a creed of the scaling era.

      en.wikipedia.org

    7. OpenAI Creates a Capped-Profit Company

      Companies & Investments

      OpenAI sets up OpenAI LP, a for-profit company controlled by its nonprofit board that caps first investors' returns at 100 times their money, so it can raise the billions it needs for computing.

      openai.com

    8. Turing Award for Deep Learning Pioneers

      Research Breakthroughs

      Geoffrey Hinton, Yann LeCun, and Yoshua Bengio receive the ACM A.M. Turing Award for their foundational work on deep learning.

      acm.org

    9. OpenAI Releases GPT-2

      Public Releases

      OpenAI announces GPT-2 but initially withholds the full model due to concerns about malicious use, sparking a debate about responsible AI disclosure.

      openai.com

  2. 2018, 8 events

    1. AlphaFold Tops the CASP13 Contest

      Research Breakthroughs

      DeepMind's first AlphaFold places first in CASP13, the leading contest for predicting the shapes of proteins, two years before AlphaFold 2 largely solves the problem.

      en.wikipedia.org

    2. Google Releases BERT

      Research Breakthroughs

      Google releases Bidirectional Encoder Representations from Transformers (BERT), a new language representation model that achieves state-of-the-art results on a wide array of natural language processing tasks.

      arxiv.org

    3. Google Drops Project Maven After Staff Protests

      Ethics & Policy

      After thousands of employees sign a petition and about a dozen resign, Google says it won't renew Project Maven, its contract to analyze drone footage for the Pentagon, and publishes AI principles that rule out weapons work.

      techcrunch.com

    4. OpenAI Releases GPT-1

      Public Releases

      OpenAI releases the first Generative Pre-trained Transformer (GPT-1), demonstrating the potential of large-scale unsupervised language models.

      openai.com

    5. GDPR Takes Effect

      Ethics & Policy

      The EU's General Data Protection Regulation takes effect, setting strict rules for collecting and using personal data and giving people the right not to be subject to significant decisions made solely by automated processing, Europe's first broad check on algorithms and a model for its later AI Act.

      gdpr-info.eu

    6. Google Duplex Makes Humanlike Phone Calls

      Public Releases

      Google shows Duplex phoning a hair salon and a restaurant to book appointments, with pauses and 'uh's so humanlike that critics call it deceptive; Google promises that Duplex will identify itself to the people it calls.

      en.wikipedia.org

    7. Self-Driving Uber Kills a Pedestrian

      Bombshell News

      A self-driving Uber test car strikes and kills Elaine Herzberg in Tempe, Arizona, the first recorded pedestrian death involving a self-driving car.

      en.wikipedia.org

    8. Gender Shades

      Ethics & Policy

      Joy Buolamwini and Timnit Gebru find that commercial face analysis systems from IBM, Microsoft and Face++ misclassify darker-skinned women up to 34.7% of the time, against under 1% for lighter-skinned men.

      proceedings.mlr.press

  3. 2017, 10 events

    1. Deepfakes Appear on Reddit

      Bombshell News

      Motherboard reports on a Reddit user called 'deepfakes' who uses open-source deep learning to swap celebrities' faces into pornographic videos, and the name sticks to AI-faked video.

      en.wikipedia.org

    2. AlphaZero Masters Chess, Shogi and Go

      Models & Architectures

      DeepMind's AlphaZero teaches itself chess, shogi, and Go from random play, reaching a superhuman level within 24 hours and defeating a world-champion program in each game.

      arxiv.org

    3. AlphaGo Zero

      Models & Architectures

      DeepMind introduces AlphaGo Zero, which learns to play Go from scratch, without any human data, and surpasses all previous versions of AlphaGo.

      deepmind.google

    4. China's New Generation AI Development Plan

      Ethics & Policy

      China's State Council sets the goal of making the country the world's leading AI power by 2030, with a core AI industry worth more than 1 trillion yuan.

      newamerica.org

    5. Proximal Policy Optimization

      Research Breakthroughs

      OpenAI's John Schulman and colleagues publish proximal policy optimization (PPO), a reinforcement learning method that improves an agent's policy in small, safe steps; simple and stable, it trains OpenAI Five and later the reinforcement learning from human feedback behind InstructGPT and ChatGPT.

      arxiv.org

    6. Reinforcement Learning From Human Feedback

      Research BreakthroughsLandmark

      Researchers from OpenAI and DeepMind train AI agents from people's choices between pairs of their attempts, the reinforcement learning from human feedback (RLHF) that later turns GPT-3 into ChatGPT.

      arxiv.org

    7. Attention Is All You Need

      Research BreakthroughsLandmark

      Google researchers publish the paper 'Attention Is All You Need,' introducing the Transformer architecture, which becomes the foundation for most modern large language models.

      arxiv.org

    8. Canada's National AI Strategy

      Ethics & Policy

      Canada becomes the first country to release a national AI strategy, aiming to invest in research and talent.

      cifar.ca

    9. Sparsely-Gated Mixture of Experts

      Models & Architectures

      Google researchers led by Noam Shazeer build a layer of thousands of expert networks of which a gate switches on only a few for each input, growing a model to 137 billion parameters with only minor losses in computational efficiency; the design later powers models like Mixtral and DeepSeek-V3.

      arxiv.org

    10. Libratus Beats Top Poker Pros

      Models & Architectures

      Carnegie Mellon's Libratus beats four top professional players at heads-up no-limit Texas hold'em over 120,000 hands, a game of hidden cards and bluffing.

      en.wikipedia.org

  4. 2016, 7 events

    1. Google Neural Machine Translation

      Public Releases

      Google switches Chinese-to-English Google Translate to a neural machine translation system that cuts translation errors by 55% to 85% on several major language pairs.

      research.google

    2. WaveNet Generates Natural Speech

      Research Breakthroughs

      DeepMind's WaveNet generates speech one audio sample at a time with a deep neural network, and listeners rate it more natural than the best text-to-speech systems of the day.

      arxiv.org

    3. PyTorch's First Release

      AI Tools

      PyTorch, a Python deep learning library from Facebook's AI researchers, posts its first alpha release; it later underpins systems such as ChatGPT, Tesla Autopilot and Hugging Face's Transformers.

      en.wikipedia.org

    4. ProPublica Finds Bias in a Criminal Risk Algorithm

      Ethics & Policy

      ProPublica reports that COMPAS, software U.S. courts use to predict whether defendants will commit new crimes, wrongly labels Black defendants as high risk nearly twice as often as white defendants, and researchers studying the dispute prove that common definitions of fairness cannot all be met at once.

      propublica.org

    5. Google Reveals the TPU

      Hardware Advances

      Google reveals the Tensor Processing Unit, a custom machine learning chip it had already run in its data centers for over a year, including in AlphaGo's match against Lee Sedol.

      en.wikipedia.org

    6. Microsoft's Tay Chatbot Pulled Within a Day

      Bombshell News

      Microsoft takes its Twitter chatbot Tay offline less than a day after launch, after a coordinated attack by users led it to post offensive and hurtful tweets.

      blogs.microsoft.com

    7. AlphaGo Defeats Lee Sedol

      Models & ArchitecturesLandmark

      DeepMind's AlphaGo defeats world champion Lee Sedol in Go, showcasing AI's ability to master complex, intuition-based games.

      deepmind.google

  5. 2015, 6 events

    1. ResNet Makes Networks Much Deeper

      Models & Architectures

      Kaiming He and colleagues at Microsoft Research introduce residual networks, which train networks up to 152 layers deep and win the 2015 ImageNet classification challenge.

      arxiv.org

    2. OpenAI Founded

      Companies & Investments

      OpenAI is founded as a non-profit AI research company by Elon Musk, Sam Altman, and others with a mission to ensure that artificial general intelligence benefits all of humanity.

      openai.com

    3. Google Open-Sources TensorFlow

      AI Tools

      Google releases TensorFlow, the machine learning system it uses internally, as open source under the Apache 2.0 license.

      research.google

    4. Tesla Switches On Autopilot

      Public Releases

      A software update brings Autopilot to Tesla's cars, letting them steer within their lane and keep pace with traffic on highways; in May 2016 a driver in Florida dies in the first widely publicized fatal crash with it engaged.

      en.wikipedia.org

    5. DeepDream Shows What a Neural Network Sees

      Research Breakthroughs

      Google engineers run an image-recognition network in reverse, amplifying whatever patterns it detects until photos fill with dogs, eyes and pagodas; the hallucinatory pictures, and the DeepDream code released in July, give the public its first look inside a neural network.

      research.google

    6. Diffusion Models Proposed

      Research Breakthroughs

      Stanford researchers publish work on diffusion models, a technique that would later become foundational for high-quality image generation.

      arxiv.org

  6. 2014, 7 events

    1. Adam Optimizer

      Research Breakthroughs

      Diederik Kingma and Jimmy Ba publish Adam, an optimizer that adapts the step size for each parameter and becomes a default choice for training deep networks.

      arxiv.org

    2. Amazon Unveils Echo and Alexa

      Public Releases

      Amazon announces the Echo smart speaker and its voice assistant, Alexa, at first available by invitation only.

      en.wikipedia.org

    3. Sequence-to-Sequence Learning

      Models & Architectures

      Ilya Sutskever, Oriol Vinyals and Quoc Le show that one LSTM network can read a sentence and another can write its translation, the encoder–decoder design that attention and the Transformer built on.

      arxiv.org

    4. Attention for Neural Machine Translation

      Research Breakthroughs

      Dzmitry Bahdanau, Kyunghyun Cho and Yoshua Bengio let a translation network learn which source words to focus on for each word it writes, the attention mechanism the Transformer is later built around.

      arxiv.org

    5. Bostrom's 'Superintelligence'

      Ethics & Policy

      Philosopher Nick Bostrom's 'Superintelligence: Paths, Dangers, Strategies' argues that an AI smarter than people could pursue its goals at humanity's expense unless the problem of controlling it is solved first; recommended by Elon Musk and Bill Gates, it brings the case for AI safety research to a wide audience.

      en.wikipedia.org

    6. Generative Adversarial Networks (GANs)

      Research Breakthroughs

      Ian Goodfellow and his colleagues introduce Generative Adversarial Networks (GANs), a class of machine learning frameworks that can generate new data.

      arxiv.org

    7. Google Acquires DeepMind

      Companies & Investments

      Google acquires the British artificial intelligence company DeepMind for a reported £400 million.

      theguardian.com

  7. 2013, 4 events

    1. Variational Autoencoders

      Research Breakthroughs

      Diederik Kingma and Max Welling introduce the variational autoencoder, a generative model that learns a compact space from which new data can be sampled, later used inside Stable Diffusion.

      arxiv.org

    2. DeepMind's Atari Breakthrough

      Research Breakthroughs

      DeepMind demonstrates an AI that can learn to play Atari games from raw pixel data, using deep reinforcement learning.

      arxiv.org

    3. Facebook Opens an AI Lab Under Yann LeCun

      Companies & Investments

      Facebook hires Yann LeCun, the pioneer of convolutional networks, to lead Facebook AI Research (FAIR), a lab that publishes its work openly and later releases PyTorch and the LLaMA models.

      en.wikipedia.org

    4. Word2Vec

      Research Breakthroughs

      Google researchers led by Tomas Mikolov release Word2Vec, a popular model for creating word embeddings.

      arxiv.org

  8. 2012, 3 events

    1. Deep Learning Takes Over Speech Recognition

      Research Breakthroughs

      Researchers from Toronto, Microsoft, Google and IBM report that deep neural networks beat the long-standing methods for recognizing speech, and voice products soon switch to deep learning.

      doi.org

    2. ImageNet Breakthrough

      Research BreakthroughsLandmark

      AlexNet wins the ImageNet competition, drastically reducing error rates and proving the power of deep learning.

      papers.nips.cc

    3. Google Brain Learns to Recognize Cats

      Research Breakthroughs

      A Google neural network spread across 16,000 processor cores learns to recognize cats from unlabeled YouTube frames without ever being told what a cat is, showing the power of large-scale deep learning.

      blog.google

  9. 2011, 2 events

    1. Apple Launches Siri

      Public Releases

      Apple launches the iPhone 4S with a beta of Siri, a voice assistant that began as a spin-out of SRI International's AI research, putting a conversational assistant in millions of pockets.

      en.wikipedia.org

    2. IBM Watson Wins Jeopardy!

      Public Releases

      IBM's Watson question-answering system defeats two of the greatest Jeopardy! champions, Ken Jennings and Brad Rutter.

      ibm.com

  10. 2010, 2 events

    1. Microsoft Kinect

      Hardware Advances

      Microsoft's Kinect for Xbox 360 tracks players' bodies in real time with a depth camera and a body-part recognizer learned with randomized decision forests, and sells 8 million units in its first 60 days.

      en.wikipedia.org

    2. DeepMind Founded

      Companies & Investments

      Demis Hassabis, Shane Legg, and Mustafa Suleyman found the AI research company DeepMind in the United Kingdom.

      en.wikipedia.org

Before 2010

The Learning Era

1990s – 2000s 30 events Desktop windows

The emergence of machine learning as computers began to learn from data rather than relying solely on programmed rules, setting the stage for modern AI.

  1. 2009, 4 events

    1. BellKor's Pragmatic Chaos Wins the Netflix Prize

      A team of researchers wins the $1 million prize Netflix offered in 2006 by beating its movie recommendation algorithm by 10%, with a blend of hundreds of models that shows how far ensembles can outdo any single one.

      Research Breakthroughs

      en.wikipedia.org

    2. ImageNet Database Created

      Fei-Fei Li and colleagues launch ImageNet, a large-scale database of labeled images that becomes a crucial benchmark for computer vision research.

      Research Breakthroughs

      image-net.org

      Landmark

    3. GPUs Speed Up Deep Learning

      Rajat Raina, Anand Madhavan and Andrew Ng show that graphics processors can train large deep networks many times faster than ordinary processors, making much bigger models practical.

      Research Breakthroughs

      doi.org

    4. Google Starts Its Self-Driving Car Project

      Google begins a self-driving car project led by Sebastian Thrun, a former director of the Stanford Artificial Intelligence Laboratory; it is spun out as Waymo in 2016.

      Hardware Advances

      en.wikipedia.org

  2. 2 years earlier

    2007, 3 events

    1. DARPA Urban Challenge

      Tartan Racing, from Carnegie Mellon and General Motors, wins the $2 million DARPA Urban Challenge with its car Boss, in a contest for driverless cars on a mock city course.

      Hardware Advances

      en.wikipedia.org

    2. Google Trains Large Language Models on 2 Trillion Tokens

      In 'Large Language Models in Machine Translation', Google researchers train word-sequence models on up to 2 trillion tokens of text and find that translation keeps improving as the models grow, and that a deliberately simple method they call 'Stupid Backoff' catches up with refined ones given enough data, an early case of more data beating cleverer methods.

      Research Breakthroughs

      aclanthology.org

    3. NVIDIA Releases CUDA

      NVIDIA releases CUDA, a platform for general-purpose computing on its graphics chips, which researchers later use to train neural networks on GPUs.

      Hardware Advances

      en.wikipedia.org

  3. 2006, 2 events

    1. Deep Belief Networks

      Geoffrey Hinton, Simon Osindero and Yee-Whye Teh show that a network many layers deep can be trained one layer at a time, reviving neural network research under the banner of deep learning.

      Research Breakthroughs

      cs.toronto.edu

      Landmark

    2. Google Translate Launches

      Google launches its translation service built on statistical machine translation, learned from billions of words of text, bringing the statistical approach to the public.

      Public Releases

      research.google

  4. 2005, 1 event

    1. Stanford's Stanley Wins DARPA Challenge

      Stanford's autonomous vehicle, Stanley, wins the second DARPA Grand Challenge, a major milestone for self-driving cars.

      Hardware Advances

      en.wikipedia.org

  5. 2004, 1 event

    1. DARPA Grand Challenge Ends With No Finisher

      No robot vehicle finishes DARPA's first desert race for autonomous cars; the best, Carnegie Mellon's, covers only about 7 miles before getting stuck, and the $1 million prize goes unclaimed.

      Hardware Advances

      en.wikipedia.org

  6. 2003, 1 event

    1. A Neural Probabilistic Language Model

      Yoshua Bengio, Réjean Ducharme, Pascal Vincent and Christian Jauvin train a neural network that learns a vector for every word and uses them to predict the next word, an early step toward today's language models.

      Research Breakthroughs

      jmlr.org

  7. 2002, 1 event

    1. Roomba Vacuum Cleaner

      iRobot releases the Roomba, one of the first commercially successful domestic robots.

      Public Releases

      en.wikipedia.org

  8. 2001, 2 events

    1. Viola–Jones Face Detection

      Paul Viola and Michael Jones present a face detector that uses boosting to run in real time, the approach digital cameras soon use to find faces.

      Research Breakthroughs

      doi.org

    2. Random Forests

      Leo Breiman publishes random forests, in which many decision trees, each grown on random samples of the data and features, vote on the answer, building on Tin Kam Ho's 1995 random decision forests.

      Research Breakthroughs

      doi.org

  9. 2000, 1 event

    1. Honda Unveils ASIMO

      Honda introduces ASIMO, a 120-centimeter humanoid robot that walks smoothly and climbs stairs on two legs; later versions run, recognize faces and respond to spoken commands, and it becomes the best-known humanoid robot of its time.

      Hardware Advances

      global.honda

  10. 1999, 3 events

    1. NVIDIA Markets the GeForce 256 as the First GPU

      NVIDIA releases the GeForce 256 and calls it the world's first GPU, a single chip that does the transform and lighting math of 3D graphics instead of leaving it to the CPU, starting the line of chips that later powers deep learning.

      Hardware Advances

      en.wikipedia.org

    2. Remote Agent Takes Command of Deep Space 1

      NASA's Remote Agent software takes primary command of the Deep Space 1 spacecraft, planning its activities and handling simulated faults on its own, the first time AI software controls a spacecraft.

      Agents

      jpl.nasa.gov

    3. Sony's AIBO Robot Dog

      Sony introduces AIBO, an autonomous robot dog for the home, and when sales open in June the first units sell out online in 20 minutes.

      Public Releases

      en.wikipedia.org

  11. 1998, 2 events

    1. Kismet the Robot

      Cynthia Breazeal at MIT builds Kismet, a robot that can recognize and display emotions.

      Hardware Advances

      en.wikipedia.org

    2. LeNet-5 and the MNIST Benchmark

      Yann LeCun, Léon Bottou, Yoshua Bengio and Patrick Haffner publish LeNet-5, a convolutional network for reading handwriting trained on the MNIST digits, which become machine learning's standard first benchmark.

      Research Breakthroughs

      doi.org

  12. 1997, 3 events

    1. Dragon NaturallySpeaking

      Dragon Systems releases NaturallySpeaking, the first general-purpose dictation software for PCs that understands continuous speech, so users no longer pause between words.

      Public Releases

      en.wikipedia.org

    2. Long Short-Term Memory (LSTM)

      Sepp Hochreiter and Jürgen Schmidhuber propose Long Short-Term Memory (LSTM), a type of recurrent neural network (RNN) architecture that becomes widely used for natural language processing.

      Models & Architectures

      doi.org

    3. IBM Deep Blue Defeats Garry Kasparov

      IBM's Deep Blue becomes the first computer to defeat a reigning world chess champion in a match under standard chess tournament time controls.

      Hardware Advances

      en.wikipedia.org

      Landmark

  13. 2 years earlier

    1995, 3 events

    1. AdaBoost

      Yoav Freund and Robert Schapire introduce AdaBoost, which builds an accurate classifier out of many weak ones by focusing each new one on the examples the others got wrong, work that wins them the 2003 Gödel Prize.

      Research Breakthroughs

      en.wikipedia.org

    2. Support Vector Machines (SVMs)

      Corinna Cortes and Vladimir Vapnik publish 'Support-Vector Networks,' the soft-margin form of support vector machines, which becomes a widely used supervised learning algorithm.

      Research Breakthroughs

      en.wikipedia.org

    3. No Hands Across America

      Carnegie Mellon's Navlab 5 minivan steers itself for all but about 50 of the 2,850 miles from Pittsburgh to San Diego, with its researchers working the pedals.

      Hardware Advances

      cs.cmu.edu

  14. 1994, 1 event

    1. Chinook Becomes Checkers World Champion

      Chinook, a checkers program from the University of Alberta, is declared Man-Machine World Champion after six drawn games against Marion Tinsley, who withdraws from the match because of illness.

      Models & Architectures

      en.wikipedia.org

  15. 2 years earlier

    1992, 1 event

    1. TD-Gammon Learns Backgammon by Playing Itself

      Gerald Tesauro's TD-Gammon, a backgammon program that learns through reinforcement learning by playing against itself, plays at a level just below the top human players.

      Models & Architectures

      en.wikipedia.org

  16. 1991, 1 event

    1. Hochreiter Identifies the Vanishing Gradient Problem

      Sepp Hochreiter's diploma thesis shows why deep and recurrent networks are so hard to train: the error signals that train them shrink or blow up as they pass back through many layers, the problem LSTM was later built to solve.

      Research Breakthroughs

      en.wikipedia.org

Before 1990

The Knowledge Era

1970s – 1980s 33 events Green-screen terminal

A period focused on encoding human expertise into computer systems, leading to the development of expert systems and the first commercial AI applications.

  1. 1989, 4 events

    1. ALVINN Learns to Steer

      Hardware Advances

      Dean Pomerleau's ALVINN at Carnegie Mellon, a neural network that learns to steer from camera images, drives the Navlab test vehicle along roads.

      proceedings.neurips.cc

    2. Q-Learning

      Research Breakthroughs

      Chris Watkins introduces Q-learning in his PhD thesis 'Learning from Delayed Rewards', a way for an agent to learn the value of each action from rewards alone, which DeepMind's Atari player later pairs with deep networks.

      en.wikipedia.org

    3. Universal Approximation Theorem

      Research Breakthroughs

      George Cybenko proves that a neural network with a single hidden layer can approximate any continuous function as closely as needed, given enough units.

      doi.org

    4. LeNet and Convolutional Neural Networks (CNNs)

      Models & Architectures

      Yann LeCun develops LeNet, one of the first successful applications of Convolutional Neural Networks, for recognizing handwritten digits.

      en.wikipedia.org

  2. 1988, 2 events

    1. Sutton's Temporal-Difference Learning

      Research Breakthroughs

      Richard Sutton shows how a program can learn to predict by comparing each guess with its next guess instead of waiting for the final outcome, a method at the heart of reinforcement learning from TD-Gammon to DeepMind's Atari player.

      link.springer.com

    2. IBM Translates Language by Statistics

      Research Breakthroughs

      Peter Brown and colleagues at IBM propose translating between languages with probabilities learned from translated text instead of hand-written rules, starting the statistical turn in language processing.

      aclanthology.org

  3. 1987, 3 events

    1. VaMoRs Drives Itself at 96 km/h

      Hardware Advances

      Ernst Dickmanns' robot van VaMoRs, steered by computer vision, can drive itself at up to 96 km/h (60 mph), a year after it first drove on its own.

      en.wikipedia.org

    2. Landmark

      The Second AI Winter Begins

      Bombshell News

      The market for specialized Lisp machines collapses as cheaper desktop computers catch up, wiping out a half-billion-dollar industry in a single year. DARPA's Strategic Computing Initiative stops new spending on AI, expert systems like XCON prove too costly to maintain, and funding for AI stays scarce into the 1990s.

      en.wikipedia.org

    3. First NeurIPS Conference

      Research Breakthroughs

      The first Neural Information Processing Systems conference, then called NIPS, meets in Denver, bringing together researchers in neural networks, neuroscience and engineering; it grows into the field's leading venue, where AlexNet, GANs and the Transformer are later presented.

      proceedings.neurips.cc

  4. 1986, 3 events

    1. Landmark

      Backpropagation Popularized

      Research Breakthroughs

      David Rumelhart, Geoffrey Hinton, and Ronald Williams publish a paper that popularizes the backpropagation algorithm, enabling the training of multi-layer neural networks.

      nature.com

    2. Brooks's Subsumption Architecture

      Research Breakthroughs

      Rodney Brooks builds robots from layers of simple behaviors that react directly to their sensors, with no central model of the world, turning robotics away from symbolic planning.

      doi.org

    3. Quinlan's ID3 Learns Decision Trees

      Research Breakthroughs

      Ross Quinlan describes ID3, which learns a decision tree from examples; with the CART method of Leo Breiman and colleagues (1984), it makes decision trees one of machine learning's most used tools.

      doi.org

  5. 1985, 2 events

    1. Judea Pearl Names Bayesian Networks

      Research Breakthroughs

      Judea Pearl coins the term Bayesian network for graphs of probabilities that let a system reason under uncertainty, updating its beliefs as new evidence arrives.

      en.wikipedia.org

    2. Boltzmann Machines Learn Hidden Features

      Research Breakthroughs

      David Ackley, Geoffrey Hinton and Terrence Sejnowski publish a learning algorithm for Boltzmann machines, networks whose hidden units learn their own internal representation of the data.

      doi.org

  6. 1984, 2 events

    1. Valiant Defines What Machines Can Learn

      Research Breakthroughs

      Leslie Valiant's 'A Theory of the Learnable' defines probably approximately correct (PAC) learning, a mathematical account of when a program can learn a concept from examples with a reasonable amount of data and computation, founding computational learning theory and earning him the 2010 Turing Award.

      doi.org

    2. Cyc Sets Out to Encode Common Sense

      Models & Architectures

      Douglas Lenat begins Cyc at MCC, a decades-long effort to hand-encode the everyday facts and rules of thumb that make up human common sense.

      en.wikipedia.org

  7. 1983, 1 event

    1. DARPA's Strategic Computing Initiative

      Companies & Investments

      DARPA launches the Strategic Computing Initiative, a ten-year program inspired by Japan's Fifth Generation project, on which the Department of Defense spends $1 billion for advanced computing and AI.

      en.wikipedia.org

  8. 1982, 2 events

    1. Japan's Fifth Generation Computer Project

      Ethics & Policy

      Japan's Ministry of International Trade and Industry launches the Fifth Generation Computer Systems project, a ten-year effort to build logic-programming computers for AI that prompts rival programs in the US, UK and Europe.

      en.wikipedia.org

    2. Hopfield Networks

      Research Breakthroughs

      John Hopfield shows how a recurrent neural network can work as a content-addressable memory, recalling a whole stored pattern from part of it, work that helps revive interest in neural networks.

      en.wikipedia.org

  9. 2 years earlier

    1980, 4 events

    1. Searle's Chinese Room

      Research Breakthroughs

      Philosopher John Searle's paper 'Minds, Brains, and Programs' imagines a man who answers questions in Chinese by following a rulebook without understanding a word, arguing that a program can behave intelligently without understanding anything.

      en.wikipedia.org

    2. Landmark

      XCON Brings Expert Systems to Business

      AI Tools

      Digital Equipment Corporation puts XCON into use, an expert system by Carnegie Mellon's John McDermott that configures VAX computer orders and by the mid-1980s saves DEC an estimated $25 million a year; its success sets off an expert systems boom, with companies spending over a billion dollars a year on AI by 1985.

      en.wikipedia.org

    3. Symbolics and LMI Sell Lisp Machines

      Companies & Investments

      Two companies spun out of MIT's AI Lab, Lisp Machines Inc. (1979) and Symbolics (1980), begin selling Lisp machines, workstations built for AI programming, a market that collapses in 1987.

      en.wikipedia.org

    4. Neocognitron

      Models & Architectures

      Kunihiko Fukushima develops the Neocognitron, a hierarchical, multilayered artificial neural network that is a precursor to modern CNNs.

      en.wikipedia.org

  10. 1979, 1 event

    1. BKG 9.8 Beats the Backgammon World Champion

      Models & Architectures

      Hans Berliner's program BKG 9.8 beats Luigi Villa, the newly crowned backgammon world champion, 7–1 in an exhibition match in Monte Carlo, the first time a program beats a reigning world champion at a board game.

      bkgm.com

  11. 3 years earlier

    1976, 2 events

    1. Weizenbaum's 'Computer Power and Human Reason'

      Ethics & Policy

      Joseph Weizenbaum, troubled by how readily people confided in his ELIZA program, argues that computers should never be trusted with decisions that call for compassion and wisdom.

      en.wikipedia.org

    2. Speech Recognition Turns to Statistics

      Research Breakthroughs

      Frederick Jelinek's group at IBM recognizes continuous speech with hidden Markov models whose probabilities are learned from recorded speech instead of written by linguists, the statistical approach, also taken by James Baker's Dragon system at Carnegie Mellon, that runs speech recognition for decades, Dragon NaturallySpeaking included.

      doi.org

  12. 2 years earlier

    1974, 3 events

    1. Werbos Proposes Backpropagation for Neural Networks

      Research Breakthroughs

      Paul Werbos's Harvard PhD thesis describes training neural networks by propagating their errors backward, more than a decade before backpropagation becomes widely known.

      en.wikipedia.org

    2. Landmark

      The First AI Winter Begins

      Bombshell News

      After James Lighthill's 1973 report tells the British government that AI has not delivered the impact it promised, the UK dismantles AI research at all but a few universities, and DARPA stops funding undirected research; money for AI dries up, starting the first AI winter, which lasts until around 1980.

      en.wikipedia.org

    3. MYCIN Medical Expert System

      Models & Architectures

      Edward Shortliffe's Stanford dissertation describes MYCIN, an expert system that identifies the bacteria behind severe infections and recommends antibiotics; in tests its advice rated as well as Stanford faculty's, though it was never used in practice.

      en.wikipedia.org

  13. 1973, 1 event

  14. 1972, 1 event

    1. Prolog Programming Language

      AI Tools

      Alain Colmerauer and Philippe Roussel create Prolog in Marseille, a language whose programs are written as logical facts and rules, later taken up by Japan's Fifth Generation project.

      en.wikipedia.org

  15. 2 years earlier

    1970, 2 events

    1. Linnainmaa Describes Reverse-Mode Differentiation

      Research Breakthroughs

      Finnish student Seppo Linnainmaa describes reverse-mode automatic differentiation in his master's thesis, the way of computing gradients that backpropagation later applies to neural networks.

      en.wikipedia.org

    2. SHRDLU Talks About a World of Blocks

      Models & Architectures

      Terry Winograd's SHRDLU, built at MIT from 1968 to 1970, holds a typed conversation about a virtual world of blocks, cones and balls, moving them on command and answering questions about them.

      en.wikipedia.org

Before 1970

The Foundation Era

1940s – 1960s 35 events Punch cards

The birth of artificial intelligence as a field of study, where visionary researchers laid the theoretical groundwork and created the first programs that could simulate human reasoning.

  1. 1969, 2 events

    1. Perceptrons Exposes the Limits of Neural Networks

      Marvin Minsky and Seymour Papert publish 'Perceptrons,' which highlights the limitations of simple neural networks and contributes to a long decline in neural network research.

      Bombshell Newsen.wikipedia.org

    2. Shakey the Robot

      Stanford Research Institute's Shakey becomes the first mobile robot to reason about its own actions, combining perception, planning, and problem-solving.

      Hardware Advancesen.wikipedia.org

  2. 1968, 1 event

    1. A* Search Algorithm

      Peter Hart, Nils Nilsson and Bertram Raphael of SRI, working on the Shakey robot, publish A*, a search algorithm that finds the shortest path with an estimate of the distance left, still used in route planning and games.

      Research Breakthroughsdoi.org

  3. 2 years earlier

    1966, 3 events

    1. Quillian Proposes Semantic Networks

      Ross Quillian's 'Semantic Memory' stores the meanings of words as a network of linked concepts, the idea behind semantic networks and, much later, knowledge graphs.

      Research Breakthroughsapps.dtic.mil

    2. ALPAC Report Ends Machine Translation Funding

      A U.S. government committee finds machine translation slower, less accurate and more costly than human translation, and U.S. funding for the field all but ends for some twenty years.

      Ethics & Policyen.wikipedia.org

    3. Landmark

      ELIZA, the First Chatbot

      Joseph Weizenbaum at MIT creates ELIZA, which plays a psychotherapist by turning a user's own words back into questions; people confide in it even when they know it is a program, a pull later called the ELIZA effect.

      Public Releasesen.wikipedia.org

  4. 1965, 4 events

    1. I. J. Good Imagines an Intelligence Explosion

      In 'Speculations Concerning the First Ultraintelligent Machine', mathematician I. J. Good argues that a machine able to design better machines would set off an 'intelligence explosion', making the first ultraintelligent machine 'the last invention that man need ever make'.

      Ethics & Policyen.wikipedia.org

    2. Ivakhnenko's Group Trains the First Deep Networks

      Alexey Ivakhnenko and V. G. Lapa publish the Group Method of Data Handling, the first working method for training neural networks many layers deep.

      Research Breakthroughsen.wikipedia.org

    3. DENDRAL, the First Expert System

      Edward Feigenbaum and Joshua Lederberg create DENDRAL, an expert system that could identify chemical compounds, demonstrating the potential of AI for specialized knowledge tasks.

      Models & Architecturesen.wikipedia.org

    4. Moore's Law

      In Electronics magazine, Fairchild's Gordon Moore predicts that the number of components on a chip will double every year, a pace he revises in 1975 to every two years; the exponential growth in computing that follows is what later lets neural networks grow ever larger.

      Hardware Advancescomputerhistory.org

  5. 2 years earlier

    1963, 1 event

    1. ARPA Funds MIT's Project MAC

      The U.S. Advanced Research Projects Agency gives MIT a $2 million grant for Project MAC, which takes in Minsky's AI group and begins decades of U.S. defense funding for AI research.

      Companies & Investmentsbritannica.com

  6. 2 years earlier

    1961, 2 events

    1. SAINT Solves Calculus Problems

      James Slagle's SAINT, written in LISP for his MIT doctoral thesis under Marvin Minsky, solves symbolic integration problems about as well as a good college freshman.

      Models & Architecturesdspace.mit.edu

    2. Unimate, the First Industrial Robot

      The first industrial robot, Unimate, begins work on a General Motors assembly line.

      Hardware Advancesen.wikipedia.org

  7. 1960, 1 event

    1. ADALINE Learns From Its Errors

      Bernard Widrow and his student Marcian Hoff at Stanford build ADALINE, a single-layer neural network that adjusts its weights to shrink its error on each example, an early form of the gradient training used today.

      Models & Architecturesen.wikipedia.org

  8. 1959, 3 events

    1. Selfridge's Pandemonium

      Oliver Selfridge's Pandemonium models pattern recognition as layers of 'demons' that each detect a feature and shout their findings to the layer above, an early blueprint for the feature hierarchies of later neural networks.

      Research Breakthroughsen.wikipedia.org

    2. McCarthy and Minsky Start the MIT AI Project

      John McCarthy and Marvin Minsky start the Artificial Intelligence Project at MIT, which grows into the MIT AI Lab, one of the field's leading research centers for decades.

      Research Breakthroughsen.wikipedia.org

    3. Arthur Samuel Coins 'Machine Learning'

      Arthur Samuel's paper 'Some Studies in Machine Learning Using the Game of Checkers' describes a program that learns to play better checkers than the person who wrote it, and gives the field of machine learning its name.

      Research Breakthroughsdoi.org

  9. 1958, 2 events

    1. LISP Programming Language

      John McCarthy develops LISP, which becomes a foundational programming language for AI research.

      Research Breakthroughsdoi.org

    2. Landmark

      Rosenblatt's Perceptron

      Frank Rosenblatt presents the perceptron, a neural network that learns to classify inputs from examples, at a U.S. Navy press event, and The New York Times reports on a 'New Navy Device' that 'Learns By Doing.'

      Research Breakthroughsen.wikipedia.org

  10. 1957, 2 events

    1. Bellman's Dynamic Programming

      Richard Bellman's book 'Dynamic Programming' solves long chains of decisions by valuing each situation by the best that can follow from it, the Bellman equation that reinforcement learning, from Q-learning to DeepMind's Atari player, learns to solve from experience.

      Research Breakthroughsen.wikipedia.org

    2. General Problem Solver

      Herbert Simon, J. C. Shaw and Allen Newell create the General Problem Solver, a program meant to work as a universal problem solver by breaking a goal into subgoals it can reach step by step.

      Models & Architecturesen.wikipedia.org

  11. 1956, 2 events

    1. Logic Theorist Proves Mathematical Theorems

      Allen Newell, Herbert Simon, and Cliff Shaw complete Logic Theorist, which proves 38 of the first 52 theorems in chapter 2 of Principia Mathematica and is often called the first program built to mimic human problem-solving.

      Models & Architecturesen.wikipedia.org

    2. Landmark

      Dartmouth AI Conference

      John McCarthy, Marvin Minsky, Nathaniel Rochester and Claude Shannon's 1955 proposal coins the term 'artificial intelligence', and the summer workshop it proposes at Dartmouth College brings together the researchers who found the field.

      Research Breakthroughsen.wikipedia.org

  12. 2 years earlier

    1954, 1 event

    1. Georgetown–IBM Experiment Translates Russian

      Georgetown University and IBM show fully automatic machine translation, with an IBM 701 turning more than sixty Russian sentences into English in a demonstration staged to win government and public support.

      Public Releasesen.wikipedia.org

  13. 2 years earlier

    1952, 1 event

    1. Samuel's Checkers Program

      Arthur Samuel develops a self-learning checkers program on an IBM 701, one of the first demonstrations of machine learning.

      Models & Architectureshistory.computer.org

  14. 1951, 2 events

    1. SNARC, a Neural Network Built From Vacuum Tubes

      Marvin Minsky and Dean Edmonds build SNARC, a machine of 300 vacuum tubes that simulates a small network of neurons and learns by reinforcement to guide simulated rats through a maze.

      Hardware Advancesen.wikipedia.org

    2. First AI Programs

      Christopher Strachey writes a checkers program and Dietrich Prinz writes a chess program for the Ferranti Mark 1 computer, among the first AI programs.

      Models & Architecturescomputerhistory.org

  15. 1950, 3 events

    1. Theseus, a Maze-Solving Mechanical Mouse

      Claude Shannon builds Theseus, a mechanical mouse that finds its way through a maze by trial and error, while relays under the maze remember the route so it runs straight to the goal next time, an early machine that learns.

      Hardware Advancestechnologyreview.com

    2. Landmark

      The Turing Test

      Alan Turing's paper 'Computing Machinery and Intelligence' proposes the 'Imitation Game' to assess a machine's ability to exhibit intelligent behavior indistinguishable from that of a human.

      Research Breakthroughsarchive.org

    3. Shannon Shows How a Computer Could Play Chess

      Claude Shannon's paper 'Programming a Computer for Playing Chess' describes how a machine could look ahead through possible moves and score the positions it reaches, the approach chess programs build on for decades.

      Research Breakthroughsdoi.org

  16. 1949, 2 events

    1. Hebb Explains How Neurons Learn

      Donald Hebb's book 'The Organization of Behavior' proposes that the connection between two neurons grows stronger when they fire together, the idea behind Hebbian learning in later neural networks.

      Research Breakthroughsen.wikipedia.org

    2. Weaver's Memo Proposes Machine Translation

      Warren Weaver of the Rockefeller Foundation circulates 'Translation', a memorandum proposing that computers translate languages by drawing on code-breaking and information theory; it becomes the direct spark for machine translation research in the United States.

      Research Breakthroughsen.wikipedia.org

  17. 1948, 2 events

    1. Wiener Publishes 'Cybernetics'

      Norbert Wiener's book 'Cybernetics' founds the study of control and communication in animals and machines, giving early AI its ideas of feedback and self-regulating systems.

      Research Breakthroughsbritannica.com

    2. Shannon Founds Information Theory

      Claude Shannon's 'A Mathematical Theory of Communication' measures information in bits and shows that English can be imitated by choosing each letter or word from the odds of what came before it, the idea behind n-gram language models.

      Research Breakthroughspeople.math.harvard.edu

  18. 5 years earlier

    1943, 1 event

    1. Landmark

      McCulloch-Pitts Neuron

      Warren McCulloch and Walter Pitts publish 'A Logical Calculus of the Ideas Immanent in Nervous Activity,' proposing the first mathematical model of a neural network.

      Research Breakthroughsen.wikipedia.org

By the numbers

Timeline Insights

Discover the patterns and trends that emerge from decades of AI development

1.9×
40 events a year in the Agentic Era, against 20.8 in the Generative AI Era

Era Over Era

How the newest era of AI compares, in milestones a year, with the era that made it possible.

86
Research Breakthroughs events

Most Common Milestone

More of the timeline is Research Breakthroughs than any other kind of milestone.

34
Companies & Investments events

Industry Momentum

Modern AI advances are built on international collaboration between researchers, institutions, and companies.

55
Ethics & Policy events

Societal Impact

AI is transforming every aspect of society, from healthcare to education to creative industries.

1943

Where It Began

You have rewound 83 years, from agents at work back to the McCulloch-Pitts Neuron in 1943. Every era between them arrived with a new way for people and machines to work together.

The interface of the next era has not been invented yet. What it becomes depends on us.

Back to now

Built with passion for the future of artificial intelligence