Last year, after AlphaGo defeated Li Shishi 4:1, AI technology began to enter people's attention, and its gorgeous appearance made people more sought after. Now the next generation of robotic Alpha dogs has attracted attention and will push AI into a new phase.
Recently, the emergence of AlphaZero, the next generation of Alpha Dog, has once again attracted the attention of the world. In the course of this game, Alpha defeated the Alpha dog with a record of 100 to 0. The success of Alpha has brought artificial intelligence to a whole new level.
Following the May of this year, the robot AlphaGo defeated the world's number one Chinese player Ke Jie in the world-class three-player chess game. Recently, the emergence of AlphaZero, the next generation of Alpha Dog, was again caused. The attention of the world. In the course of this game, Alpha defeated the Alpha dog with a record of 100 to 0. The success of Alpha has brought artificial intelligence to a whole new level.
I divided the learning characteristics of people and machines into three stages. The first stage is the learning phase of learning from the outside world. Just as we are going to school, we learn from teachers and books. Artificial intelligence robots are the same at this stage. In order to defeat the world champion of human Go, the Alpha dog has a training period of several months. During this time, it requires intensive learning of self-game based on the chess steps of millions of human professional players. In another case, Watson, a medical-assisted robot developed by IBM based on DeepQA (Deep Open Domain Q&A System Engineering) technology, has now “learned†in order to better provide physicians with an alternative evidence-based treatment option. 42 medical journals in oncology research, more than 600,000 medical evidence in clinical trials, and 2 million pages of textual data.
In the second stage, it is a self-learning stage of human and artificial intelligence. Just last week, Nature published an academic paper called Mastering the game of Go without human knowledge. As mentioned in the article, compared with the Alpha dog, the Alpha element does not need to use any human experience knowledge to learn from scratch, and strengthens learning and enlightenment on its own. Among them, the biggest breakthrough is unsupervised deep learning. This is a learning process that does not require human intervention. Just as we learned the basic mathematical knowledge when we were young, we can reason and think autonomously. This breakthrough of Alpha is a breakthrough in the inherent thinking mode of human beings.
The core technology behind this ability--deep learning, as early as 2012, has been on the stage of the world. This year, Hinton, the father of deep learning, led the team to successfully increase the computational accuracy of artificial intelligence to 85% in the world's most famous ImageNet machine vision competition, which was 72% in 2010 and 74% in 2011. In just three years, Microsoft Research used a 152-layer neural network to increase the accuracy rate to 95.06%, surpassing the 94.9% barrier of human vision. It can be seen that artificial intelligence is constantly creating miracles.
The final stage of human and artificial intelligence learning, I call it the stage of pioneering ability. Chen Yiran, an expert on artificial intelligence at Duke University in the United States, once said that the most interesting part of artificial intelligence is that human experience is often converged to local rather than self-aware due to the size of the sample space, while artificial intelligence learning can break through. This limit.
Today's artificial intelligence has entered a stage of self-learning, which is a new breakthrough. Through the story of Alpha, we conclude that humans often influence the ability of machine learning because of their limitations. Secondly, an artificial intelligence that relies on outside learning is most similar to a human being with a particularly good brain, and the future needs to be more artificial intelligence machines with self-creating ability.
The next decade is a decade of artificial intelligence technology. In the next 20 years, artificial intelligence will be applied to more commercial scenarios to gradually replace the simple and cumbersome labor of human beings, while bringing humans into areas beyond human reach. So all this is still just beginning and it is worth our expectation.
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