What are the eight trends of 20 18 artificial intelligence?

Eight trends of 20 18 artificial intelligence

The heat of artificial intelligence to create human form will be reduced.

With the development of artificial intelligence technology in personal finance, public records, customer experience and learning new things, this kind of industry transfer will become more and more common. Artificial intelligence engineers and developers will devote themselves to creating algorithm-driven artificial intelligence, which can react, make decisions and interact with people in a human way.

Pay more attention to consumer-grade artificial intelligence applications

The artificial intelligence industry will strive to build trust with those who buy and subscribe to its artificial intelligence products and services, which means that they will actively provide software updates and communication about potential risks in the workplace, including personal voice assistants, chat bots and platforms running on artificial intelligence, and do so in a simple way that ordinary people can understand.

The regulatory pattern in the field of artificial intelligence will continue to develop.

As the governments of Britain, the United States, the European Union and other countries or regions try to understand the core value, risks and actual future of artificial intelligence technology, people in the industry will begin to understand how they self-regulate the enterprise application of AI technology. This kind of self-regulation will go beyond artificial intelligence to solve the concerns of enterprises and the public about data privacy and protection. Accountability will remain a core issue, and the pressure on enterprises to use data (especially consumer information) to build artificial intelligence applications will increase in 20 18 years.

The development of artificial intelligence will benefit a wider range of people.

Just a few years ago, people needed advanced degrees in data science and engineering to engage in artificial intelligence technology, research algorithms and develop software. Nowadays, developer tools, training programs and available career opportunities allow non-technical people to enter the field of artificial intelligence. Companies such as LinkedIn have established infrastructure for training artificial intelligence R&D engineers. In 20 18, we will see these tools, resources and educational opportunities extended to other employees.

People will learn to be collaborators of artificial intelligence.

Every new report on artificial intelligence and work will arouse strong public reaction, and these reports will also emphasize the necessity of understanding in depth how the progress of artificial intelligence really affects work, talents and workplaces. Although some jobs will be replaced by artificial intelligence technology, many jobs will be integrated with artificial intelligence technology in a way that optimizes the interests of the company.

Network security will use artificial intelligence to deal with complex threats.

Although Hollywood's idea that robots can occupy the world will attack potential threats related to hacking technology, engineers will focus on using artificial intelligence to solve non-physical problems, data and algorithm problems. At present, the ability of hacker intrusion technology exceeds the ability of network security industry to protect fragile technologies.

In order to catch up, technology industry leaders such as Google, Facebook and Amazon will look for more opportunities to cooperate with academic researchers from MIT, new york University, small start-ups and other leading institutions to build security systems driven by artificial intelligence technology. These partnerships will help to build an artificial intelligence security system that can be deployed across networks and platforms to monitor, detect and prevent hacker intrusion.

The artificial intelligence industry will solve more complex problems

Artificial intelligence includes a complex and important technical network. At present, the purpose of many artificial intelligence enterprises and consumers is to solve small and targeted problems. A clever assistant may guide you to submit fees correctly, a search algorithm may guide you to become the best plumber in Ontario, and a voice assistant may discover a music world that you don't even know exists.

At the same time, today's artificial intelligence technology needs to solve more complex problems in business and daily life, from managing the entire labor force to coping with climate change. In the following year, I saw that companies from all walks of life began to deploy these artificial intelligence solutions to solve bigger, more complex and more open problems.

The new year is a new opportunity for artificial intelligence.

Finally, I believe that in the coming year, the artificial intelligence industry will make great progress in discovering the nuances and complexity of technology. Artificial intelligence applications will continue to increase and diversify. The responsibility of improving its popularity and public awareness will completely fall on the artificial intelligence industry, and stronger R&D cooperation will be established between the artificial intelligence industry and private, public and academic departments.