Artificial Intelligence, And Especially Deep Learning, Which Has A Similar Function To The Human Mind, First Appeared In The United States. 

This Success Established The United States As A Leader In The Supply Of Artificial Intelligence. 

But in some areas, European companies also emerged with authority and achieved successes beyond American companies’ reach. Under such circumstances, the Chinese imported technologies from Europe that American companies did not develop on their soil.

Unprecedented advances by the British companies ARM and DeepMind in artificial intelligence and in-depth learning led to the acquisition of the logo by Softbank and the DeepMind by Google. But China also has something to say in this area and is trying to make it heard loudly.

Europe has always played a key role in research since the digital revolution, despite the United States being a leader. Of course, this role has always been downplayed by silicon-influenced media. Now, with the advent of China, all of Silicon Valley’s colorful fireworks and propaganda in the field of artificial intelligence are gradually being extinguished, as China has made unparalleled advances in artificial intelligence.

Artificial intelligence in the United States and Europe

The two British companies, Arm and DePaymand, play a key role in maintaining America’s superiority in the field of electronics and intelligent computing. The logo has been in the chip industry since the 1980s and was the first company to develop a new architecture for processors. The system the company developed was acquired by American giant Qualcomm (founded in the 1980s).

The company is today the largest manufacturer of mobile chips in the world. Since 2007, Qualcomm’s on-chip system (SOCs) has been expanding uninterruptedly and can be seen on most smartphones.

Founded in 2010, DeepMind Technologies is a developer of artificial neural networks and a pioneer in delivering deep learning. The company that Alphabet bought in 2014. It should note that much of the progress in deep learning results from the relentless efforts of scientists such as Yoshua Bengi, Geoffrey Hinton, and Yann LeCun, who have been working on this technology continuously since 2012.

They worked. In March 2019, these scientists received the prestigious Turing Prize. In fact, the advent of deep learning is a tremendous concept and a major engineering breakthrough that has shown that next-generation computers can be different from the current generation and, more precisely, dumped into intelligent beings capable of interacting directly with humans.

Compete on the edge of AI development with 5G dominance

The fifth generation of communication networks (5G) enables faster data transfer in mobile networks. You may be surprised to read this sentence. Still, the fifth generation of communication networks, due to its high speed and very short latency, is an efficient tool in the service of artificial intelligence because the fifth generation of communication networks to self-connected machines and smartphones equipped with chips Artificial intelligence, whose modems support 5G, allow their users to provide the highest speed and processing power.

That’s why 5G is so exciting in a dispute over artificial intelligence market leadership! To better understand all the hype surrounding 5G, let’s take a brief look at the US Huawei lawsuit.

The 5G rivalry between the two countries is more of a trade war than a conflict. In a word: the United States wants to continue to play a leading role in this area. The United States declared war on Huawei.

Canada surrendered to the United States and handed over Hangzhou to the Canadian authorities.

But overall, the situation was not very encouraging for the United States. Protests intensified in February 2019 over the Thai government’s agreement to license Huawei, which allowed the company to conduct 5G tests across the country. Southeast Asia has suddenly become the latest battleground in the 5G war between the United States and China, telecom experts said.

However, 5G was tested in this country. Reactions were different elsewhere. The Philippines has allowed Huawei to work, Malaysia and Australia, like most European countries, are still making decisions, and Monaco has decided to allow Huawei to work.

The success of Chinese companies in the successful implementation of 5G will pave the way for Chinese companies to test the super heavyweight calculations of artificial intelligence and deep neural networks and reduce the problem of slowing down the transfer of huge amounts of information that intelligent algorithms have to process and exchange between server and client.

It will go away a lot. 

It should note that the 5G war has also had a major impact on the inflammation of the computer chip (semiconductor) market. The biggest players in the field, including Qualcomm, have been affected by the war.

Qualcomm, which reached the highest level of success and profitability in 2014, is in a bad situation today, which is why there is talk of buying it. Donald Trump blocked the purchase for security reasons and Broadcom’s involvement and investment in China.

Now there is talk of new Qualcomm buyers, including Intel. Qualcomm, which reached the highest level of success and profitability in 2014, is in a bad situation today, which is why there is talk of buying it.

Donald Trump blocked the purchase for security reasons and Broadcom’s involvement and investment in China. Now there is talk of new Qualcomm buyers, including Intel.

Qualcomm, which reached the highest level of success and profitability in 2014, is in a bad situation today, which is why there is talk of buying it. Donald Trump blocked the purchase for security reasons and Broadcom’s involvement and investment in China. Now there is talk of new Qualcomm buyers, including Intel.

The role of graphic chip manufacturers in the world of artificial intelligence

Companies such as Nvidia and NXP (the Dutch semiconductor company) play an important role in artificial intelligence and can be purchased by China. Nvidia is the largest maker of graphics chips, and some of today’s video games would not have been possible without the company’s chips.

The company’s chips also play a key role in the world of intelligent computing and algorithms, so it should come as no surprise that China is persuaded to buy the company or at least become a shareholder in some of our trade with the United States. There is another important point about Nvidia.

The company’s GPUs play a key role in more sophisticated artificial intelligence applications such as face recognition.

In contrast, NXP produces simpler and cheaper chips to securely connect devices to the network, especially in self-driving cars. NXP says:

China’s program to rule the world of artificial intelligence

The Chinese government has prepared a huge plan to become the undisputed pioneer of artificial intelligence globally. It has announced that it will be the undisputed ruler of this industry by 2030. It’s not just about massive investment, but China’s very influential approach has taken the world by surprise. All different levels of government up to the lower echelons and mayors of this country are involved in this project.

All cities should work with financial support and tax breaks to make Chinese silicon wool a reality. From the Western point of view, the Chinese government is spending a lot of money without a specific plan, and many people are taking advantage of this situation by introducing their companies as startups in artificial intelligence. But this imposition has already worked well for China and may work again.

PricewaterhouseCoopers estimated in 2017 that the use of artificial intelligence would increase global GDP by $ 15.7 trillion by 2030.

Of this amount, $ 7 trillion will be China’s share, followed by the United States with $ 3.4 trillion. Europe is in third place with $ 2.5 trillion, and developed Asia (especially Japan, South Korea, India, Taiwan, Malaysia, the Philippines, and Indonesia) with $ 0.9 trillion is far behind.

This prediction was confirmed by Kai-fu Lee, a former Microsoft scientist and CEO of Google Asia. From 2009 until today, this prominent Chinese scientist has greatly assisted Chinese startups in advancing their goals in artificial intelligence.

Kai-fu has a deep look at the digital world in China in AI Superpowers: China, Silicon Valley, and the New World Order, published in 2018. In this best-selling book, the United States and China are at the forefront of the deep learning revolution, explaining why China will be the likely winner.

His reasons are straightforward, the characteristics of demographics and the size of China’s winning cards.

Statistics show that China can beat its competitors in most markets. 

He states that Chinese companies realize their goals based on a specific strategy in local and global markets, an online-to-offline (O2O) -based strategy. As a result, Chinese companies are collecting more data in the real world than Amazon and Physik.

This is why Kai-fu believes China will be a leader in deep learning because it learns from its data. The more data are given to the machine, the better its performance. “Automation and artificial intelligence are not only a threat, and they are a real opportunity,” he said. “Artificial intelligence has come to free us from repetitive tasks and to remind us of what made us human.”

The role of Europe: a focus on ethics in the world of artificial intelligence

China’s governance model has played a significant role in promoting artificial intelligence, while in the United States, it has ousted its government and left everything to the private sector.

To this day, concerns about the lack of attention to ethics in artificial intelligence in the United States are not universal. The media try to avoid mentioning it as directly as possible. At the same time, Europe takes a different stance and emphasizes public information.

There are exceptions. In the United States, Ilan Mask has been instrumental in raising awareness of the dangers of artificial intelligence in the field of ethics. He has been voicing concerns for several years, arguing that artificial intelligence is the biggest threat to humans.

In 2014, Musk donated $ 10 million to the Future of Life Institute. The task of this institute is to ensure that artificial intelligence is used for proper and humane work. In 2015, Musk announced the launch of a $ 1 billion nonprofit called OpenAI.

The San Francisco-based institute is working to advance artificial intelligence to serve humanity and attract significant sponsors by 2018.

It was not long before tech giants, including Bill Gates, joined the mask to voice their concerns.

On the other side of the game, the US federal government continued to work. The then-President Obama announced the project to support the development of artificial intelligence without specific capital in 2016. The project received little attention because it was introduced during the US presidential campaign.

Trump has felt the need to support the development of artificial intelligence in the two years since he took office. In February 2019, he signed a plan that would oblige government agencies to invest more in artificial intelligence research projects, share data and computer models, and boost workforce development.

However, a large part of the work is still done by the private sector. Bloomberg sees the plan as smart and a good start; however, it doesn’t look like much compared to the billions of dollars that China has invested in using artificial intelligence, and it certainly doesn’t seem like much compared to what Europe is planning to do. . On April 8, 2019, the European Commission adopted guidelines aimed at ensuring the development and use of artificial intelligence in an ethical way.

These guidelines are currently in beta and will be finalized in 2020.

This is just one part of the plans approved by the European Union in 2018 in Brussels. The EU aims to increase public and private investment to at least € 20 billion a year over the next decade, bringing the total to € 200 billion, a huge investment.

But the main question is not only about the amount of capital allocated for the development of artificial intelligence. The question is how to develop it.

The EU’s efforts to support artificial intelligence are worthwhile but may not be comparable to China’s plans, although it has the potential to be a valuable success. Just like China, investing in European countries will make it possible to access more data, trigger emerging developments in the world of artificial intelligence, and pave the way for wider use of this technology.

Trying to build trust is an issue that the Chinese have not yet considered, but European countries emphasize it.

Europe believes that it is not just about money, but about a sense of trust and a healthy environment for the development of artificial intelligence, and of course, to protect humanity from an AI apocalypse that the late Stephen Hawking and Ilan Musk feared. They fear The EU’s efforts to support artificial intelligence are worthwhile but may not be comparable to China’s plans, although it has the potential to be a valuable success.

Just like China, investing in European countries will make it possible to access more data, trigger emerging developments in the world of artificial intelligence, and pave the way for wider use of this technology.

Trying to build trust is an issue that the Chinese have not yet considered, but European countries emphasize it. Europe believes that it is not just about money, but about a sense of trust and a healthy environment for the development of artificial intelligence, and of course, to protect humanity from an AI apocalypse that the late Stephen Hawking and Ilan Musk feared.

They fear The EU’s efforts to support artificial intelligence are worthwhile but may not be comparable to China’s plans, although it has the potential to be a valuable success.

Just like China, investing in European countries will make it possible to access more data, trigger emerging developments in the world of artificial intelligence, and pave the way for wider use of this technology.

Trying to build trust is an issue that the Chinese have not yet considered, but European countries emphasize it. Europe believes that it is not just about money, but about a sense of trust and a healthy environment for the development of artificial intelligence, and of course, to protect humanity from an AI apocalypse that the late Stephen Hawking and Ilan Musk feared.

They fear Just like China, investing in European countries will make it possible to access more data, trigger emerging developments in the world of artificial intelligence, and pave the way for wider use of this technology.

Trying to build trust is an issue that the Chinese have not yet considered, but European countries emphasize it. Europe believes that it is not just about money, but about a sense of trust and a healthy environment for the development of artificial intelligence, and of course, to protect humanity from an AI apocalypse that the late Stephen Hawking and Ilan Musk feared.

They fear Just like China, investing in European countries will make it possible to access more data, trigger emerging developments in the world of artificial intelligence, and pave the way for wider use of this technology.

Trying to build trust is an issue that the Chinese have not yet considered, but European countries emphasize it. Europe believes that it is not just about money, but about a sense of trust and a healthy environment for the development of artificial intelligence, and of course, to protect humanity from an AI apocalypse that the late Stephen Hawking and Ilan Musk feared. they fear