Seven trends in the field of artificial intelligence in 2022 (metaverse/autonomous driving)

Introduction: A new year and a new beginning, whether the gear of fate has shifted to 2022, new breakthroughs and developments in the field of artificial intelligence will continue to broaden the boundaries of our imagination.


1. Enhance human labor skills

There has been concern that machines or robots will replace human labor and may even render some jobs redundant. But people will also increasingly find that humans can use machines to improve their skills.

For example, the marketing department has become accustomed to using tools to help determine which potential customers are more worthy of attention; in the field of engineering, artificial intelligence tools provide maintenance forecasts, allowing people to know in advance when machines need to be repaired; knowledge-based industries such as law will increasingly Intelligent use of artificial intelligence tools to help people sort through the ever-growing amount of available data to find the information needed to complete a specific task.

All in all, in nearly every career field, a variety of smart tools and services are emerging to help people do their jobs more efficiently. In 2022, the connection between artificial intelligence and people's daily life will become closer.

2. Bigger and better language modeling

Language modeling allows machines to interact with humans in a language that humans understand, and even convert natural human language into executable programs and computer codes.

In mid-2020, the artificial intelligence company OpenAI released the third-generation language prediction model GPT-3, which is the most advanced and largest language model created by scientists so far, consisting of about 175 billion "parameters", which are Variables and data points that machines use to process language.

As we all know, OpenAI is developing a more powerful successor GPT-4. While the details have yet to be confirmed, some estimate it could contain as many as 100 trillion parameters (as many synapses in the human brain). In theory, it's a big step closer to creating language and having conversations that humans can't tell the difference. And, it also gets better at creating computer code.

3. Artificial intelligence in the field of network security

In January this year, the World Economic Forum released the "Global Risk Landscape Report 2021", arguing that cybersecurity risk is a major risk that the world will face in the future.

As machines take over more and more of our lives, hacking and cybercrime will inevitably become a bigger problem, and this is where artificial intelligence can come in handy.

Artificial intelligence is changing the rules of the game in cybersecurity. By analyzing network traffic and identifying malicious applications, intelligent algorithms will play an increasing role in protecting humans from cybersecurity threats. In 2022, the most important applications of artificial intelligence may appear in this field. Artificial intelligence may be able to dramatically speed up response times by providing instant insight into threat intelligence compiled from millions of research reports, blogs and news reports.

4. Artificial Intelligence and the Metaverse

Metaverse is a virtual world, just like the Internet, with an emphasis on achieving immersive experiences. Since Mark Zuckerberg changed Facebook’s name to “Meta” (the English prefix of Metaverse), the topic of Metaverse has become even hotter.

AI will undoubtedly be key to the Metaverse. AI will help create online environments where people feel at home in the metaverse and foster their creative urges. People may soon get used to sharing metaverse environments with AI beings, such as playing tennis or playing a game of chess with AI when they want to relax.

5. Low-code and no-code AI

In 2020, low-code/no-code artificial intelligence tools have emerged and become popular all over the world, ranging from building applications to vertical artificial intelligence solutions for enterprises. This new force is expected to continue to develop in 2022. The data shows that low-code/no-code tools will become the next battle front for the tech giants, a $13.2 billion market that is expected to further increase to $45.5 billion by 2025.

The Honeycode platform released by Amazon in June 2020 is the best proof. This platform is a code-free development environment similar to a spreadsheet interface, and is known as the "gospel" for product managers.

6. Increase the number of self-driving vehicles

Statistics show that 1.3 million people die in traffic accidents every year, 90% of which are caused by human error. Artificial intelligence will be the "brain" of self-driving cars, ships and planes, transforming these industries.

Tesla has said that by 2022, its cars will have full self-driving capabilities. Companies like Google, Apple, General Motors, and Ford are also likely to announce major leaps in autonomous driving in 2022.

In addition, the "Mayflower" autonomous ship (MAS), jointly built by the non-profit marine research organization ProMare and IBM, has officially set sail in 2020. According to IBM, the artificial intelligence captain gives MAS the ability to detect, think and make decisions, scan the horizon to detect potential dangers, and change routes based on various real-time data. In 2022, self-driving ship technology will also be improved to a higher level.

7. Creative AI

With the support of new models such as GPT-4 Google's "brain", people can expect artificial intelligence to provide more refined and seemingly "natural" creative output. Google's "brain" is a major research project of Google X laboratory, and it is a software developed by Google in the field of artificial intelligence to simulate the human brain with self-learning function.

In 2022, these creative outputs are often not aimed at demonstrating the potential of artificial intelligence, but are applied to everyday creative tasks, such as writing headlines for articles and newsletters, designing logos and infographics, and so on. Creativity is often seen as a very human skill, but we will increasingly see these capabilities in machines.


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Origin blog.csdn.net/Java_college/article/details/122435709