MindMap Gallery Artificial Intelligence and Design
This map is a sustainable course for sophomores majoring in product design. It contains the history and significance of the development of artificial intelligence. Friends who need it can download it themselves.
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This is a mind map about bacteria, and its main contents include: overview, morphology, types, structure, reproduction, distribution, application, and expansion. The summary is comprehensive and meticulous, suitable as review materials.
This is a mind map about plant asexual reproduction, and its main contents include: concept, spore reproduction, vegetative reproduction, tissue culture, and buds. The summary is comprehensive and meticulous, suitable as review materials.
This is a mind map about the reproductive development of animals, and its main contents include: insects, frogs, birds, sexual reproduction, and asexual reproduction. The summary is comprehensive and meticulous, suitable as review materials.
Artificial Intelligence and Design
1956. The birth of intelligent AI
The first development climax (1955-1974)
Predictions about intelligent AI in the next 20 years
1958, H. A. Simon, Allen Newell: "Within ten years, a digital computer will become the world chess champion."
1965, H. A. Simon: “Within twenty years, machines will be able to do everything that humans can do.”
1967, Marvin Minsky: “Within a generation…the problem of creating ‘artificial intelligence’ will be substantially solved.”
1970, Marvin Minsky: “In three to eight years we will have a machine with average human intelligence.”
Major achievements
Artificial neural networks were proposed in the 1930s and 1950s. In 1951, Marvin Minsky built the first neural network machine.
Bellman's formula (prototype of reinforcement learning) was proposed
Perceptron (prototype of deep learning) was proposed
search reasoning was proposed
Natural language was proposed
It was first proposed that artificial intelligence has the characteristics of imitating intelligence, knowing how to use language, forming abstract concepts and solving existing human problems.
The chess program developed by Arthur Samuel in the mid-1950s and early 1960s can already challenge amateurs of considerable level.
Project SHAKEY, a robot that can "reason" about its own behavior, has been heavily publicized; it is seen as the world's first general-purpose robot
The proposal of micro world
The first cold winter (1974-1980)
In the early 1970s, AI encountered a bottleneck.
main problem
Computer computing power encounters bottlenecks and cannot solve the complex calculation problems of exponential explosion.
Common sense and reasoning require a lot of information about the world, and computers cannot reach the point of "understanding" and "understanding"
Moravec's paradox cannot be solved
Unable to solve some logical problems involving automatic planning
Neural network researchers have been left out
The second development climax (1980-1987)
In the early 1980s, a type of AI program called "expert system" began to be adopted by companies around the world, and artificial intelligence research ushered in a new wave of climax.
Major achievements
The birth of expert systems
AI researchers find intelligence may need to be built on multiple methods of processing large amounts of classified knowledge
The BP algorithm has achieved a breakthrough in neural network training, and neural network researchers have regained attention.
AI researchers proposed for the first time that in order for a machine to achieve true intelligence, it must have a body. It needs to have the ability to perceive, move, survive, and interact with the world. Perceptual motor skills are crucial to high-level skills such as common sense reasoning. The ability to reason about things is more important than abstract ability, which also promotes the future development of natural language and machine vision.
The second cold winter (1987-1993)
In 1987, market demand for AI hardware suddenly dropped.
main problem
Influenced by the impact of desktop computers and the concept of the “personal computer”
The pursuit and neglect of AI by business organizations has turned AI into a bubble and burst.
Computer performance bottleneck still cannot be overcome
Still lack of massive data training machines
The third climax (1993-present)
Under Moore’s Law, computer performance continues to break through
Moore's Law began with a prediction by Gordon Moore in 1965. At that time, he saw several chips made by Intel and felt that the size of transistors could be reduced by half and the number of transistors could be doubled in 18 to 24 months. Ability can be doubled
main event
1997: IBM's chess robot Deep Blue defeats world chess champion Garry Kasparov
2005: A robot developed by Stanford successfully drove 131 miles autonomously on a desert trail and won the first prize in the DARPA Challenge;
2006: Geoffrey Hinton proposed the deep learning algorithm of multi-layer neural network; Eric Schmidt proposed the concept of "cloud computing" at the Search Engine Conference
2010: Google’s self-driving car led by Sebastian Thrun was exposed and set a record of more than 160,000 kilometers without accidents.
2011: IBM Watson participated in the intellectual game "Jeopardy!" and defeated the highest prize winner Brad Rutter and the winning streak holder Ken Jennings; Apple released the voice personal assistant Siri; Nest Lab released the first-generation smart thermostat Nest. It learns the user's habits and automatically adjusts the temperature accordingly
2012: Google launches personal assistant Google Now
2013: Deep learning algorithms achieve breakthroughs in speech and visual recognition rates
2014: Microsoft Research Asia released the artificial intelligence XiaoIce chatbot and voice assistant Cortana; Baidu released the Deep Speech speech recognition system
2015: Facebook releases “M,” a text-based AI assistant
2016: Google AlphaGo defeated Go player Lee Sedol with a score of 4:1; the concept of Chatbots became popular; Google released the first-generation dedicated chip TPU customized for machine learning; Google released the voice assistant Assistant
2017: AlphaGO defeated masters from all over the world with 60 consecutive victories on the Go online battle platform; Google's open source deep learning system Tensorflow 1.0 was officially released; Google AlphaGo defeated the world's number one Go nine-dan player Ke Jie with a score of 3:0; silently devoted to machine learning and machine vision Apple released Core ML, ARKit and other components at WWDC; Google released ARCore SDK; Baidu AI Developer Conference officially released Dueros voice system, driverless platform Apollo1.0 autonomous driving platform; Huawei released the world's first AI mobile chip Kirin 970; iPhone Achieved 600 billion operations