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An inventory of AI trends in 2019

2025-04-06 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Internet Technology >

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2019-10-26 21:58:22 author: Michael K. Spencer

Compile: ronghuaiyang guide to the middle of the year, to do an AI trend inventory.

As a futurist, I think about the evolution of artificial intelligence every day.

The most hyped technologies are also the most complex, the most common, and the most difficult to monitor, regulate and control. The development of machine learning has "its own life", which is beyond the scope of any company, country or academic institution.

Driven by capital and innovation, artificial intelligence is a Trojan horse that can not only help, enhance, automate, but also arm humans against each other.

This is both exciting, frightening and inevitable. But what exactly does it include?

In this article, we will explore what this might mean in 2019. In 2019, algorithms are everywhere, but artificial intelligence is still stupid, just a pipeline, and the integration of artificial intelligence in the cloud is still very elementary. Deep learning is still in its infancy and robotics is still in its infancy.

1. Large-scale use of intelligent speakers in China

In 2019, China overtook the United States as the mainstream user and seller of intelligent voice artificial intelligence interfaces (often referred to as smart speakers). This is of great significance to the way companies such as Alibaba, Baidu and Xiaomi expand their influence. Shipments of smart speakers in China grew by 500% in the first quarter of 2019, surpassing the United States and accounting for 51% of the market.

two。 It is beneficial for enterprises to adopt artificial intelligence strategy.

Leaders of cloud services are providing more AI-centric tools and features, and enterprises are more likely to adopt and experiment with these tools and features. Seventy-three percent of executives see artificial intelligence / machine learning and automation as areas where they want to maintain or increase investment.

3. The number of academic papers on artificial intelligence in China will soon surpass that of the United States

According to the Allen Institute of artificial Intelligence (Allen Institute for Artificial Intelligence), the number of papers in the top 10 per cent of papers in China is likely to surpass that of the US by 2020, and by 2025, the number of papers in the top 1 per cent is likely to surpass that of the US. This is achieved by modeling the current forecast.

4. Artificial intelligence chips are reviving.

More and more companies are developing artificial intelligence chips, including the mainstream FAANG company. This means that the next generation of artificial intelligence chips is coming out.

5. The relationship between artificial intelligence and network security is getting closer and closer.

Deploying artificial intelligence for network security solutions is becoming more practical to help protect organizations from existing network threats and to help identify new types of malware. In addition, AI-driven network security systems can ensure effective security standards and help to develop better prevention and recovery strategies.

6. Artificial intelligence will bring subversion to traditional industries.

With the development of self-driving cars, the demand for human workers in some of our most common occupations will be greatly reduced. For example, Goldman Sachs estimates that self-driving cars will cause 25000 truck drivers to lose their jobs each month, according to CNBC. The report predicts that truck drivers will account for the vast majority of the unemployed in 2017, more than bus or taxi drivers.

7. Cashless physical retail stores with AmazonGo style

AmazonGo and many similar technologies have also increased the number of more automated brick-and-mortar retail stores, phasing out thousands of cashiers and retail sales staff and transforming the retail industry into a more AI-centric rather than people-centric area. As a reference, as of mid-2019, AmazonGo had only 11 stores operating.

8. Trust in artificial intelligence is surpassing many human institutions.

In an era where we no longer trust government, politicians, Silicon Valley, social platforms and media as we used to, we actually trust artificial intelligence more. This is because artificial intelligence will be designed to be people-centered and help us in all aspects of our lives. Companies like Amazon bring us consumer satisfaction, convenience and artificial intelligence, so they should be highly trusted by consumers.

9. The evolution of open source framework

CBInsights discusses how open source is evolving. In practice, I think what's happening here is that, thanks to open source software, the barriers to entry into artificial intelligence are lower than ever before.

Remember when Google launched the open source wave of TensorFlow machine learning libraries in 2015, and major technology companies followed suit? There are many open source tools for developers to choose from, including Keras, Microsoft Cognitive Toolkit, and Apache MXNet. Young software engineers are adopting new open source frameworks to quickly track how they build the next world.

10. Face recognition will become mainstream.

No matter what you think of the monitoring mechanism, the widespread use of face recognition is becoming more and more common, especially in China, where there are many top start-ups in this field.

Although face recognition has challenges in public recognition in the West, face recognition has been a real success in China with companies such as Megvii, Sense Time and Alibaba and how they integrate with the school's government surveillance system.

11. The maturity of the Internet of things at the edge computing level

The Internet of things takes decades to mature. But there have been some promising crossroads. In 2019, artificial intelligence will meet the Internet of things at the edge computing layer. Most models trained in the public cloud will be deployed at the edge. For example, the Industrial Internet of things is a top-level use case of artificial intelligence, which can detect outliers, analyze root causes, and predict maintenance of devices.

The Internet of things will become one of the biggest driving forces of artificial intelligence in enterprises. Edge devices will be equipped with special AI chips based on fpga and asic.

twelve。 Military automation and artificial intelligence

2019 will be a year when artificial intelligence will play an important role in the field of military and machine learning-guided drones. The Maven project (Project Maven) is all about the use of Google's artificial intelligence in military drones, but it's just scratching the surface. Decisions are being made on military operations and integration with artificial intelligence and killer robots, which will have a significant degree of automation, which will bring many ethical problems and risks.

13. The influence of artificial Intelligence on Future Automation and work

In 10 years' time, 20-30% of jobs will be "super jobs", 10-20% of jobs will be low-paid, low-skilled jobs, and 60-70% of jobs will be "mixed jobs" that require skills and soft skills. This means that artificial intelligence can affect not only repetitive and heavy work, but also white-collar work, eliminating many tasks and reducing demand in many areas, while helping other industries with severe skills shortages.

It is doubtful that such a wave of artificial intelligence will hit so many industries at the same time that major jobs such as unemployment can be created in the 1930s and 1940s. No matter how serious the reports are, the reports on how many people will be net unemployed are mixed.

14. Artificial intelligence will be a major topic in the US election in 2020.

When machine learning is seen as a tool to improve global GDP and productivity and automation, or away from American citizens, AI will actually affect the economy and many other issues, affect FAANG, even break the monopoly of these large technology companies, and influence the Democratic candidate in the 2020 presidential election.

This means that topics such as artificial intelligence and even basic income (free dividends) are becoming more mainstream debates about the future of capitalism, the economy and the concerns of the middle class.

15. Business value and ROI brought by artificial intelligence will grow exponentially

The 1920s were basically the decade of the artificial intelligence boom. For example, the global commercial value of artificial intelligence reached $1.2 trillion in 2018 and will grow to $3.9 trillion by 2022 (Gartner). This means that artificial intelligence in dozens of areas such as health care, retail, transportation, logistics and education will give birth to new companies that can become powerful companies of the future.

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