2017, the year of artificial intelligence explosion?

Apple, Google, and Facebook all zoomed in.

Artificial intelligence has replaced big data and has become a "shining star" in the technology industry. Today's leading technology companies in the world are investing in the future of machine learning, and they plan to work in this area for some time in the foreseeable future.

However, although machine learning has set off such a big upsurge in the entire industry, there is always a gap that cannot be overcome in the research process in this field and the effective value brought by reality. In fact, only a small percentage of companies may have the resources to advance the process of artificial intelligence innovation and eventually become a leader in this field.

Out of reach, still at your fingertips?

Companies such as Apple, Facebook, Google, and Microsoft have recently released big moves, such as opening up source code and sharing their research and development results in the field of artificial intelligence. Last month, Apple announced that it would no longer follow the strict secrecy system of the past, and for the first time allowed the company's internal artificial intelligence R&D team to disclose its research papers. In an interview, Cook said that the technology of smart phones is still relatively mature, and artificial intelligence will achieve amazing achievements in the future innovation of the iPhone.

2017, the year of artificial intelligence explosion?

Google's progress has proven how machine learning can be integrated into a variety of popular applications, such as Gmail with hundreds of millions of users. The driverless car project originally owned by Google has now become independent. The future development of this company called Waymo is closely related to artificial intelligence.

Recently, Zuckerberg announced a detailed personal challenge plan, which is to spend almost 100 hours for his own family to develop an artificial intelligence system called Jarvis. But he said that even if he spends another 1000 hours, there is no way for the system to learn new skills. Zuckerberg’s experience of this challenge confirms his previous predictions. “In some ways, artificial intelligence seems to be within reach, but it seems so far away.”

Yann Lecun, head of Facebook artificial intelligence research, said: "Artificial intelligence is not a magical existence, but we have already seen it bring us magical progress, especially in the field of technology. Not only that, but it also for us. Everyday life brings many miracles, such as helping us identify objects on photos, recognize sounds, drive, and translate dozens of languages ​​online."

He also said that this technology will become "the pillar of many of the most innovative applications and services in the future", and medical services and transportation will be the first industries to be transformed by artificial intelligence.

Lecun said that Facebook will set a goal and begin to lay out its field of artificial intelligence to further research artificial intelligence. “This is not a purely technical challenge, but a question about science,” he wrote. “What is intelligence? How do we apply it to machines? The answers to these questions are not just helping us develop intelligence. Machines, the most important thing is to help us understand more deeply how human thinking and the brain work. Slowly, human intelligence activities will work simultaneously with the intelligent operation of the machine, as we know, it is Human wisdom creates us human beings, and artificial intelligence is an extension of this wisdom."

What is the level of influence of artificial intelligence in the industry in 2017? Forrester Research recently surveyed 612 companies and technical experts, 58% of respondents said their organizations are developing artificial intelligence, and 12% said that the technology is in use. “This gap reflects the growing gap between organizations in the field of artificial intelligence, but for now, the difference in effectiveness is not significant,” said Forrester Research in a report on the potential of the artificial intelligence industry.

Will artificial intelligence be out of control?

The "Terminator" style scene is a common bridge between literary and film and television works on artificial intelligence. How many of these can become real reality? Fabio Cardenas, CEO of Sundown AI, believes that “artisanal intelligence out of control” may become a new reality in 2017: “Small network gangs are malicious for fraudulent institutions or individuals, Maybe creating another kind of artificial intelligence that will be able to invade a system that was once considered impregnable."

Cardenas also believes that this can happen by destroying existing artificial intelligence. He said: "If the training of artificial intelligence is destroyed, hackers can introduce deviations or exemptions to change the predictive power of artificial intelligence to make a profit for themselves." One way that this may happen is to "develop Artificial intelligence that can make other artificial intelligence smarter." Artificial intelligence can self-improve and adjust by examining blind spots in the training data, which will help optimize artificial intelligence.

Roman Yampolskiy, director of the Cybersecurity Lab at the University of Louisville, also believes that artificial intelligence "out of control" is a trend in 2017: "The most interesting and important trend in artificial intelligence and I am now It is closely tracked that the frequency and severity of AI failures will increase in proportion to the capabilities of artificial intelligence."

In other words, when we benefit from it, we also increase the possibility of “malicious” artificial intelligence.

If artificial intelligence makes mistakes...

Experts are concerned about the ethical consequences of artificial intelligence. After all, the way artificial intelligence makes mistakes is obvious – from strengthening prejudice to using racial discrimination, and in extreme cases, preventing fatal accidents.

Vince Conitzer, a professor of computer science at Duke University, said: "The traditional artificial intelligence community in computer science will increasingly address the social and ethical issues that arise in their work, but we are only exploring How to follow these ideas to make the initial stage of specific technical contributions."

Moshe Vardi, a professor of computer science at Rice University, also believes this is a trend in 2017: “The impact of automation on labor, deadly autonomous weapons, fairness and transparency of algorithms, etc., with artificial intelligence Relevant ethical issues will continue to attract attention."

The question of value docking – that is, how we can ensure that artificial intelligence runs with the same values ​​as humans, is no longer seen as a question about super-intelligence, but is seen as an algorithm we are doing today and The problem faced by machine learning programs.

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