With the rapid development of artificial intelligence technology, the Internet has entered a new normal, artificial intelligence will accelerate the transformation and subversion of traditional industries. This paper has compiled new developments in technology and industrial applications in the field of artificial intelligence since 2016.
When it comes to artificial intelligence, what is the definition of artificial intelligence? There are no definitions that are very strict and accurate, or accepted by everyone, but there are some conventions. Often artificial intelligence refers to machine intelligence that allows the machine to achieve some of the functions that human intelligence does. Since artificial intelligence is machine intelligence, it is not mechanical intelligence. So what does this machine mean? It refers to a computer, and the intelligent behavior of a person simulated by a computer is called artificial intelligence. Gao Wenru, an academician of the Chinese Academy of Engineering, said.
The development of artificial intelligence has actually gone through three stages.The first phase was from 1956 to 1976. In 1956, at a conference hosted by Dartmouth College, computer expert John McCarthy proposed the term "artificial intelligence," which was seen as a sign of the birth of artificial intelligence. However, in the 1970s, due to the lack of difficulty in the research of artificial intelligence in the research of artificial intelligence, everyone cast a shadow on the prospect of artificial intelligence.
The second phase was from 1976 to 2006. In 1976, many scholars studied the neural network. Until 1986, the emergence of the BP algorithm (the error back propagation network) made people shine. In the past, neuronal networks can only do very small things, and they can't do big things. But this thing can do big things when it comes out, so it has pushed the development of this field very fast. But it can only solve some problems, artificial intelligence fell into the second trough. The third phase began in 2006.
With the deep learning techniques proposed by Hinton in 2006, as well as some successes in image, speech recognition and other fields, it is believed that after two ups and downs, artificial intelligence began to enter the eve of the real explosion.
This iconic technological advancement has ignited a commercial revolution in the last three years. 2016 is the "golden year" for the rise of AI commercialization. Internet giants such as Google, Microsoft, Baidu, and many other startup technology companies have joined the battlefield of artificial intelligence products, setting off another round of intelligent frenzy, and with With the maturity of technology and the widespread acceptance of the public, this frenzy may set up a bridge between modern civilization and future civilization.
Google Alpha Dog defeats World Go Champion Li Shishi
Google is a leader in artificial intelligence. AlphaGo, a deep learning artificial intelligence project developed by the company, mastered Go technology in January 2016. In March, it defeated World Go champion Li Shishi with a score of 4:1.
NVIDIA's first supercomputer for deep learning and artificial intelligence came out
Founded in January 1993, NVIDIA is a semiconductor company focused on designing intelligent core chipsets. Before this year, NVIDIA has launched some GPUs for deep learning applications, so it's logical to develop supercomputers next. In April 2016, Nvidia announced that it has developed a supercomputer, the DGX-1, designed to meet the needs of artificial intelligence researchers.
XPRIZE and IBM Watson set up AI 2020 competition
In August 2016, XPRIZE announced that they will organize a new challenge with IBM Watson to make people think more realistically about the impact of artificial intelligence on the future of humanity. Shortly after the start of the challenge, more than 1,000 people signed up to form a team and proposed plans for various social issues, including health, climate, transportation, space travel, robotics, urban planning, surgery, education and even citizenship. The competition is an open competition and the teams need to think about the evaluation criteria they will face in 2020.
Google WaveNet can synthesize more realistic vocals
On September 9, 2016, Google's DeepMind artificial intelligence team (the one that developed AlphaGo) used a neural network to develop a third way—that is, directly disassembling the sound source samples to produce a deeper layer. The language "habits" information, and then directly construct audio files from these habits. Depending on the data fed to WaveNet AI, it can even simulate the subtle movements of mouth-shaped movements and ventilation, and is more personal in tone and speed. And the application of WaveNet is not limited to vocals. The researchers fed it classical music as a reference, and it can also combine quite a classical music.
Elon Musk announces that all new Tesla cars will be fitted with the Autopilot 2.0 system
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