AI Development Timeline

Explore the evolution of artificial intelligence technology, from early fundamental research to the development of modern large models and agent ecosystems

2025
Application Ecosphere

AI Application Ecosphere Expanded

AI technology in various industries depth application

2025

Manufacturing Automation Upgrade

AI optimizes production flow and quality control

2025

Education Customized Platform

AI drives customized learning system

2025

Medical AI Diagnostic System

AI aids medical diagnosis accuracy improved

2025
Multimodal AI

Multimodal Model Fusion

Text, image, audio, video unified understanding

2025

Multimodal Generation Capability

Cross-modal content generation quality improved

2025

Real-time Multimodal Interaction

Voice, vision, text real-time fusion

2025

Unified Multimodal Architecture

Cross-modal uniform representation learning breakthrough

2025
Ethics

AI Ethics and Governance

AI safety and ethics framework enhanced

2025

Negative Responsibility AI Framework

Enterprise level AI governance framework established

2025

AI Transparency Requirement

Model explainability technology breakthrough

2025

AI Alignment Breakthrough

Value alignment and security research advances

2025

Global AI Management Protocol

International AI safety standards establish

2025
AGI

AGI Exploration Accelerated

General artificial intelligence research enters new phase

2025

Cause and Effect Research

AI system causal reasoning ability enhanced

2025

Embodied Intelligence Development

AI with robots technology integrates

2025

Multimodal Reason Breakthrough

Cross-modal understanding and inference ability significantly improved

2025

Neurosymbolic AI Fusion

Symbolism and connectionism fusion research

2024
Multimodal AI

Video Generation Technique Developed

AI video generation technology continuously innovated

2024

Stable Video 3D

Text to 3D video generation technique breakthrough

2024

Veo Released

Google releases high quality video generation model

2024

Sora Released

OpenAI launches high quality video generation model, showing 60 seconds high quality video generation ability

2024
Infrastructure

AI Hardware Innovated

AI specialized chip technology breakthrough

2024

AMD MI300X

High performance GPU accelerates AI training and inference

2024

Google TPU v5p

Optimized for large model training optimization

2024

NVIDIA Blackwell Architecture

New generation AI computing platform

2024
Technological Ecosphere

AI Body Technology Enhanced

AI intelligent body ability continuously improved

2024

Embodied Intelligence

Intelligent body with physical world interaction ability improved

2024

AutoGen Framework

Microsoft multi-agent collaboration framework popular

2024

GPT-4o Multi-modal Body

Supports vision, audio, text of comprehensive intelligent body

2024
Large Model

Open Model Boomed

Open community large model rapidly grows

2024

Falcon 180B

Arabic Innovation Technology Institute releases large scale open source model

2024

Gemini 1.5

Google multi-modal model supports super long context window

2024

Claude 3 Series

Anthropic releases Opus, Sonnet, Haiku three ability levels model

2024

GPT-4o Released

OpenAI multi-modal real-time interactive model

2024

Llama 3 Released

Meta next generation open source large model

2024

Mistral 7B

French Mistral AI releases efficient small model

2023
Large Model

Gemini Model Released

Google multi-modal large model technology breakthrough

2023

Gemini Released

Google releases native multi-modal large model

2023
Technological Ecosphere

AI Tools Ecosphere Enhanced

Various AI application tools rapidly emerge

2023

Adobe Firefly

Adobe's AI image generation tool

2023

Notion AI

Integrate AI notes tool

2023

Runway Gen-2

Text to video generation tool

2023

Midjourney v4

AI art generation quality significantly improved

2023
Technological Ecosphere

AI Framework Emerged

AI intelligent body technology rapidly grows

2023

AgentGPT

Based on browser intelligent body platform

2023

LangChain Popular

Large model application development framework

2023

BabyAGI

Task oriented intelligent body system

2023

AutoGPT Released

First autonomous AI intelligent body framework

2023
Large Model

Llama Series Opened

Meta opens large model pushing industry innovation

2023

Llama 2-Chat

Specifically optimized dialog version

2023

Llama 2 Released

Commercial friendly open source license

2023

Llama Released

Meta opens 65B parameters model

2023
Large Model

Claude Series Developed

Anthropic focuses on AI security and alignment research

2023

Claude 2.1

Security further improved

2023

Claude 2 Released

Expands context window up to 100K tokens

2023

Claude Released

Anthropic releases first dialogue assistant

2023
Large Model

GPT-4 Series Released

Multimodal large model capabilities enhance

2023

GPT-4V Released

Visual understanding capability further enhanced

2023

GPT-4 Turbo Released

OpenAI launches enhanced GPT-4, supporting 128K context

2023

GPT-4 Turbo

Expands context window up to 128K tokens

2023

GPT-4 API Opened

Developers can access GPT-4 capabilities

2023

GPT-4 Released

OpenAI releases multimodal large model, supporting image input

2022
General Large Model

ChatGPT Spark AI Trend

OpenAI releases ChatGPT, becoming fastest growing consumer application, sparking global AI trend

2023

User Growth Rapidly

Two months growth users break 1 billion

2022

ChatGPT Released

Based on GPT-3.5 of the dialog AI system

2022
Multimodal AI

Stable Diffusion Open Source Model

Stability AI releases open source Stable Diffusion model, pushing AI image generation technology popular

2022

Community Ecosphere Boomed

Bring forth large number of AI art creation tools and applications

2022

Stable Diffusion Released

Based on LAION-5B data set image generation model

2021
General Large Model

Codex with GitHub Copilot

OpenAI and GitHub cooperate to launch code generation tool, changing software development way

2021

GitHub Copilot

AI programming assistant released

2021

Codex Released

Based on GPT-3 code generation model

2021
Multimodal AI

DALL-E Image Generation Model

OpenAI launches DALL-E, able to generate high quality images based on text, opening AI art creation era

2022

DALL-E 2 Upgraded

Image quality and resolution significantly improved

2021

DALL-E Released

Based on GPT-3 architecture text to image generation model

2020
Biomedical AI

AlphaFold 2 Protein Structure Prediction

DeepMind developed AlphaFold 2 almost predicted all known proteins, bringing revolution in biomedical research

2021

Protein Structure Database

Predicts human proteins group in 98.5% of proteins structure

2020

AlphaFold 2 Released

In CASP14 protein structure prediction competition, achieves outstanding results

2020
General Large Model

GPT-3 Large Language Model

OpenAI releases 1750 billion parameters GPT-3 model, opening large language model era

2020

API Opened

Through API provide model ability to developers

2020

GPT-3 Paper Released

Propose few-shot learning ability

2018-2019
Foundation Techniques

Pretrain Language Model Era

BERT, GPT etc pretrain models lead to NLP revolution

2019

AlphaStar

DeepMind AI in _StarCraft II_ defeated professional player

2019

XLNet with RoBERTa

BERT improved version further enhances performance

2019

MobileNet V2

Lightweight neural network promotes AI application on mobile devices

2019

Facebook DLRM

Recommendation system depth learning model goes commercial

2019

GPT-2 Released

15 billion parameter model shows strong text generation ability, delayed release

2018

GPT-1 Released

OpenAI releases first generative pretrain Transformer

2018

BERT Opened

Google launches open source Transformer pretrain model, refreshing record in 11 NLP tasks

2018

BERT Paper Released

Google in ACL conference release BERT paper

2018

Fast.ai

Depth learning beginner course pushes AI technology democracy

2017
Foundation Techniques

Transformer Architecture Revolution

Pure attention mechanism architecture leads depth learning new direction

2017

First Transformer Implemented

Open community starts implementing and validating Transformer architecture

2017

PyTorch 0.3

Facebook opens source depth learning framework receives wide attention

2017

TensorFlow 1.0

Google opens source depth learning framework mature version

2017

Attention Is All You Need

Google team in NeurIPS release revolutionary paper

2017
Foundation Techniques

AlphaGo Zero Revolution

Completely autonomous learning AI system breakthrough

2017

AlphaGo Zero Release

From zero start self-play against AlphaGo

2016
Foundation Techniques

AlphaGo Defeats Lee Sedol

Depth learning in complex decision domain establishes milestone breakthrough

2016

AlphaGo Master

In network platform defeats multiple top-level chess players

2016

Five Chess Games

AlphaGo with 4:1 defeats world chess champion

2013-2016
Technical Breakthroughs

Depth Learning Rapidly

GPU computing promotes depth learning rapidly, breakthroughs results frequent

2016

Google Assistant

Google intelligent assistant released

2016

AlphaGo Defeats Lee Sedol

4:1 defeats world chess champion, causing global attention

2015

DeepMind AlphaGo Prototype

Start training AI system

2015

RNN & LSTM Broadcast

Recurrent neural network in sequence data processing achieves significant results

2015

ResNet Proposed

Ho Kang Ming et al propose residual network, solving deep layer network training problems

2014

Microsoft Cortana Released

Windows platform voice assistant

2014

TensorFlow Released

Google opens source depth learning framework

2014

GAN Network Invented

Ian Goodfellow proposes generative adversarial network opening new AI approach

2013

Dropout Regularization

Geoffrey Hinton proposes preventing overfitting important technique

2013

DeepMind Acquired

Google acquires DeepMind for $5 billion

2013

Word2Vec

Mikolov proposes word embedding model, revolutionizing natural language processing

2010-2012
Depth Learning

Depth Learning Breakthrough

Depth learning in image recognition and voice recognition domain makes breakthrough

2012

AlexNet Wins

Depth convolution neural network wins ImageNet competition

2011

Google Brain Project

Google starts large scale depth learning research project

2011

IBM Watson

In _Danger Edge_ episode wins human champion

2010

ImageNet Competition

Large scale visual recognition challenge starts

2010

Google Carless Driving Car

Sebastian Thrun leds Google Car without accident record

2006-2009
Machine Learning

Netflix Recommend Algorithm Competition

Netflix holds million dollar recommendation algorithm competition, pushing collaborative filtering technology development

2009

BellKor's Pragmatic Chaos Won

Team achieves 10% of recommendation accuracy improvement

2006

Netflix Prize Starts

Provides 100 dollars reward improving recommendation algorithm

2006-2009
Depth Learning

Depth Learning Early Preparation

Depth neural network training method makes breakthrough

2009

GPU Accelerated Neural Network

CUDA platform starts being used for neural network training

2008

Dropout Technique

Regularization method improves model generalization ability

2006

Depth Belief Network

Geoffrey Hinton proposes pre-train method break away gradient descent problem

2000-2009
Technical Breakthroughs

Machine Learning & Computer Vision Development

SVM, Random Forest and other algorithms rise, computer vision makes breakthroughs

2009

Microsoft Kinect

3D motion sensor promotes computer vision applications

2009

ImageNet Dataset Released

Large-scale image classification dataset drives computer vision development

2008

HOG Features

Histogram of Oriented Gradients breakthrough for pedestrian detection

2006

HMAX Model

Hierarchical neural network simulating visual cortex

2006

Deep Learning Revival

Geoffrey Hinton et al propose deep belief network training methods

2004

SIFT Features

David Lowe proposes Scale-Invariant Feature Transform, laying foundation for feature extraction

2003

SVM Algorithm Widespread Application

Support Vector Machines become mainstream method for classification problems

2002

OpenCV Library Released

Open-source computer vision library promotes research and application development

2001

Viola-Jones Face Detection

Paul Viola and Michael Jones propose real-time face detection algorithm

2000

Random Forest Algorithm

Leo Breiman proposes ensemble learning algorithm, greatly improving classification accuracy

1998-2001
Agents

Reinforcement Learning & Agent Technology

Reinforcement learning theory and multi-agent systems develop

2001

Multi-agent Systems Theory

Distributed AI systems research rises

1999

SARSA Algorithm

Online reinforcement learning algorithm proposed

1998

Q-learning Algorithm Refinement

Chris Watkins et al popularize reinforcement learning algorithms

1997
Machine Learning

AdaBoost Algorithm

Yoav Freund and Robert Schapire propose AdaBoost algorithm

1997

AdaBoost Paper

Proposes adaptive boosting algorithm, major breakthrough in ensemble learning

1997
Game AI

Deep Blue Defeats World Chess Champion

IBM supercomputer defeats human champion in chess

1997

Search Algorithm Breakthrough

Success combining heuristic search and evaluation functions

May 1997

Deep Blue vs Kasparov

IBM Deep Blue defeats world champion 3.5:2.5

1995
Machine Learning

Support Vector Machine Algorithm

Vladimir Vapnik et al perfect SVM theory

1995

SVM Theory Refinement

Vapnik et al publish "Support-Vector Networks" paper

1990-1995
Theoretical Foundations

Machine Learning Theoretical Foundations

Statistical learning theory and support vector machines develop

1995

PAC Learning Theory Refinement

Computational learning theory framework forms

1994

Reinforcement Learning Algorithms

Richard Sutton publishes "Introduction to Reinforcement Learning"

1994

Kernel Methods

Kernel trick enables SVM to handle non-linear problems

1993

Bayesian Networks

Judea Pearl publishes "Probabilistic Reasoning in Intelligent Systems"

1992

Support Vector Machines

Vladimir Vapnik proposes SVM algorithm

1990

Connection Machine CM-5

Supercomputer designed for large-scale parallel AI computing

1982
Neural Networks

Connectionism Rise

Neural network research regains attention

1982

Boltzmann Machine

Geoffrey Hinton et al propose probabilistic generative model

1982

Hopfield Network

John Hopfield proposes neural network with associative memory capabilities

1979
Robotics

Stanford Cart Robot

First autonomous mobile robot, capable of avoiding obstacles

1979

Stanford Cart

Hans Moravec's robot capable of autonomous navigation in complex environments

1987-1989
Industry Development

First AI Winter

Expert system limitations become apparent, AI research enters downturn

1989

Research Funding Decreases

Governments and enterprises reduce AI R&D investment

1988

Expert System Maintenance Costs

Knowledge acquisition bottleneck problems become prominent

1987

LISP Machine Market Collapse

Specialized AI hardware market shrinks dramatically

1986
Neural Networks

Backpropagation Algorithm Revival

Multi-layer neural network training method regains attention

1986

Parallel Distributed Processing

PDP research group promotes neural network research

1986

Backpropagation Paper

Rumelhart et al rediscover and popularize backpropagation algorithm

1986
Neural Networks

Backpropagation Algorithm Revival

Multi-layer neural network training method regains attention

1986

Parallel Distributed Processing

PDP research group promotes neural network research

1986

Backpropagation Paper

Rumelhart et al rediscover and popularize backpropagation algorithm

1980-1989
Industry Development

AI Commercialization Attempts

AI companies established, expert systems commercial applications

1984

Cyc Project Launched

Large-scale common sense knowledge base project

1982

LISP Machine Market

Specialized AI hardware market forms

1981

Japan's Fifth Generation Computer Project

Japanese government invests in AI research

1980

Symbolics Company

First AI hardware company founded

1970-1979
Machine Learning

Machine Learning Algorithm Development

Decision trees, ID3 algorithm and other machine learning methods emerge

1979

K-Nearest Neighbors Algorithm

Classic algorithm in pattern recognition

1975

Backpropagation Algorithm

Paul Werbos proposes backpropagation for training multi-layer neural networks

1973

Decision Tree Algorithm

Ross Quinlan develops ID3 decision tree algorithm

1970-1979
Expert Systems

Expert Systems Rise

Rule-based expert systems applied in medicine, chemistry and other fields

1979

XCON System

DEC's expert system for configuring computer systems

1975

PROSPECTOR System

Geological exploration expert system discovers important mineral deposits

1974

PROLOG Language

University of Marseille develops logic programming language

1972

MYCIN System

Stanford University develops medical diagnosis expert system

1956-1969
Early Systems

Early AI Programs

Logic Theorist, Geometry Theorem Prover and other early AI systems

1969

Minsky and Papert Criticism

Publication of "Perceptrons" pointing out limitations of single-layer perceptrons, leading to neural network research downturn

1966

SHAKEY Robot

Stanford Research Institute develops first mobile robot with perception and reasoning capabilities

1965

DENDRAL Expert System

First expert system for chemical analysis

1961

ELIZA Chatbot

Joseph Weizenbaum develops first chatbot

1959

Geometry Theorem Prover

Herbert Gelernter develops geometry theorem proving program

1956

Logic Theorist

Allen Newell and Herbert Simon develop first AI program to prove mathematical theorems

1957
Neural Networks

Perceptron Invention

Frank Rosenblatt invents the first learnable neural network

1958

Perceptron Paper

Publishes "The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain"

1957

Perceptron Model

Frank Rosenblatt invents Mark I Perceptron, the first learnable neural network model

1956
Discipline Emergence

Dartmouth Conference

AI as independent discipline formally established

1956

AI Term Coined

John McCarthy first proposes the term "Artificial Intelligence"

August 1956

Conference Held

John McCarthy, Marvin Minsky and other scholars hold AI Summer Research Project at Dartmouth College

1950
Theoretical Foundations

Turing Test

Alan Turing proposes criteria for judging machine intelligence

1950

Paper Publication

Alan Turing publishes "Computing Machinery and Intelligence" proposing the Turing Test

1948
Theoretical Foundations

Shannon Information Theory

Claude Shannon proposes information theory, laying foundation for communication and coding theory

1948

Information Theory Paper

Claude Shannon publishes "A Mathematical Theory of Communication"

1956
Discipline Emergence

Dartmouth Conference

AI formally established as an independent discipline

1956

AI Term Coined

John McCarthy first proposes the term "Artificial Intelligence"

August 1956

Conference Held

John McCarthy, Marvin Minsky and other scholars hold AI Summer Research Project at Dartmouth College

1950
Theoretical Foundations

Turing Test

Alan Turing proposes criteria for judging machine intelligence

1950

Paper Publication

Alan Turing publishes "Computing Machinery and Intelligence" proposing the Turing Test

1943
Theoretical Foundations

McCulloch-Pitts Neuron Model

First neural network mathematical model, laying AI theoretical foundation

1943

Paper Publication

Warren McCulloch and Walter Pitts publish "A Logical Calculus of the Ideas Immanent in Nervous Activity"

1936
Theoretical Foundations

Turing Machine Theory

Alan Turing proposes universal computer theoretical model

1936

Turing Machine Paper

Alan Turing publishes "On Computable Numbers, with an Application to the Entscheidungsproblem"