It’s been another year of relentless artificial-intelligence hype and incremental AI achievement. Machines still beat humans only in carefully constructed environments or at narrow tasks. The good news is that, as the technology progresses, the race for leadership is still wide open, and even Europe, where politicians fret that the continent is lagging behind China and the U.S., is still quite competitive.
AI has made progress in all measures, according to the 2018 annual report of the Artificial Intelligence Index, which includes the steering committee, Yoav Shoham from Stanford University, and AI scholars, such as Erik Brynjolfsson of the Massachusetts Institute of Technology. The number of papers published and the attendance of the conference are measured by the company’s earnings calls and the hype measure of these metrics at the parliamentary meetings. Others improve performance. This year, the AI became more accurate and much faster in image detection. It has also been developed to distinguish the grammatical structure of sentences by answering multiple-choice questions and translation. Whether this progress brings us closer to the truly superhuman AI is another matter.
On the translation front, a measure called Bilingual Assessment Concept is used to determine accuracy. Almost half of the machine translations between English and German news articles are measured by people this year. This year, Microsoft announced AI with great admiration, as well as people, from Chinese to English. However, the underlying article reports scores lower than the German language published separately for Chinese translations and accuracy scores between 50 and 70 percent of human evaluators. Machine translation algorithms are still too much ridiculous and are really useful to people who understand both languages and context in a limited way.
Advanced image recognition has done wonders in some medical fields. For example, Google has developed a system to rate prostate cancer that makes it more accurate than US pathologists, and a Stanford team has achieved similar successes with skin cancer. There is a lot of data, and when sensitivity is valued, trained in AI biased datasets, or deliberately deceived, it can help people make better decisions even though they are mixed regularly. People are less prone to misleading objects and can better correct their prejudices.
Data mining and questioning skills can sometimes make AI seem almost human. This year, IBM presented the current iteration of the Project Debator, who tried to discuss people who were willing to agree to the rules of such competitions. Exercise looks impressive – the machine collects information instantly and gives you order, grams it into accurate sentences and adds pre-written jokes to almost the right places. However, as an AI expert discovered, he tended to repeat his scores only in response to the discussions. The idea of having a machine, with the ability to analyze superhuman data, was exciting to participate in brainstorming,, Of course, we didn’t come to the threshold of seeing AI systems discussing human colleagues, Bir said expert Chris Reed. University of Dundee in Scotland. ”Today’s AI technology is far from these scenarios, as is the case with the industrial revolution of the Romans’ experiments with steam power,“ he said.
As is often the case with technological advances, AI draws attention very early. However, in recent years, some AI recruits have grumbled that it can hamper the progression of adversity, and if people are disappointed in the promise that a bright toy is not fulfilled, they can pay attention to the AI, and the financial and intellectual resources for this are too big. Now, competing in AI is a matter of prestige for the great nations.
So far, the US, Europe and China have strengths. The data in the Artificial Intelligence Index report show the US as a fugitive leader in US patents; Together with China, it also leads to the number of papers presented and accepted to major AI conferences. In Europe, however, the largest number of AI articles in Europe (25 percent of China, compared to 17 percent of the United States) are published in Europe. The European Union’s Joint Research Center reported in a report this month that the European Union today hosts about a quarter of the 35,000 assets in the US, which are 28 percent in China and 23 percent in China, compared to 23 percent in the field of artificial intelligence.
According to McKinsey & Co., Europe matches competitors in the field of business, especially in the adoption of AIs in process automation.
This will come to the European leaders, especially to surprise the German and French, who often talk about being left behind. Earlier this month, German Economy Minister Peter Altmaier supported the idea of a pan-European state-led company along Airbus lines to compete in AI.
Europe does not really need mass government intervention to catch up with Boeing in the 1960s and 1970s when it ruled the aircraft industry. However, governments in the EU and North America and China will transfer more resources to AI in the coming years, and it is likely that different development models will crystallize in key countries competing with the regulation following the money. The Joint Research Center report names three approaches that are easy to follow in their region: ”AI for profit AI, tedir AI for control olan and olan AI for society yaklaşım, geler human-centered, ethical and safe approach. “
Regardless of how well the technology would ultimately work, large countries have already chosen it for soft power and ideological competition. A repetition of the space race of the last century has not been seen in this phase for so long.
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