Google is renowned for technological advancements, which means supporting companies interested in finding unmanned cars or pouring their resources to test the potential for aerospace lifts, which will facilitate cargo delivery and cargo acquisition in space. From the same formula.
(1) However, Google has a special interest in AI research, as evidenced by its past successes as well as its current efforts.
For justice, AI research is a natural extension of Google’s business interests
After all, the technology giant is famous for its search engine, which is becoming more and more important as more and more people are using the Internet for different purposes.
As a result, it is keen to ensure that its search engine delivers the most relevant results to its users in terms of their search terms, so it can be assured that user satisfaction is greater.
AI is important for search engines because it enables them to do their search algorithms otherwise. For example, while artificial intelligence is still a distant dream, its ancestors can learn to associate specific concepts with specific inquiries so that they can provide search results based on those ideas.
This is important because it enables search engines to understand that when a search engine user introduces a search term such as “Why World War 2 began,” they are not really interested in the search results for this particular order of the word but looking for the answer to this question.
So, it provides ample time for the people mentioned And instead of examining their fate by entering search terms, they first try to supply them with what they want so they can get relevant search results.
In fact, this is why Google RankBrain is one of the most important factors that Google Search algorithm uses to rank Google search results. (2)
However, it is important to note that while Rankbrain is capable of learning on its own, its educational capabilities are raw compared to the theoretical learning ability of AI with real academic ability. As a result, Google should move ahead with its research if it wants to harness the potential of these national operations.
What will Google do in Zurich’s research laboratory?
Google has launched the first research laboratory outside the United States in the European office in Zurich.
(3) This is part of Google’s plan to build research capabilities in Europe that can match its existing research capabilities in the United States, in addition to the comparative acquisition of UK startups without commercial products, and a wide network that has leveraged scientific talent on the content.
Given the amount of resources Google has poured into this project, it’s not surprising that Google is planning big things.
In short, Google focuses on machine learning, natural language comprehension and computer perception.
In other words, it tends to allow machines to learn more from their experience, be able to interpret language the way humans are treated, and more able to interpret sensitive information in the same way as humans, which may seem a bit basic because we Born with such capabilities, such capabilities can be very difficult to implement because they are Involves a whole host of interconnected processes that cannot be easily replicated at this time.
As a result, it’s worthwhile to note that Google’s leading researcher in the lab called Amnesty International’s common sense, which made many sarcastic souls particularly unusual.
But this project is interesting because creating a mechanism capable of simulating similar simulations with so-called common sense in humans is an amazing leap beyond the current limitations of artificial intelligence to previous men.
Above all, it will not enable him to be more efficient than his experience, and it is an important requirement to ensure that something is not something that mimics real intelligence and true intelligence, but is able to reasonably communicate with people, whose commercial potential is huge in both areas. Has array and others.
What does this future mean?
In general, the current search in Zurich’s Google office may extend to the current trend in the consumer market.
For example, Google already uses its own search engine machine learning in addition to a number of its other products, but as its capabilities grow, its products will likely benefit more and lead to more efficiency and more efficient results for its users.
Of course, it’s also important to note that Google’s efforts to teach common sense to its AI predecessors are a step in the way of artificial intelligence to come out with real intelligence.
As progress is made, you will likely continue to come up with more advanced projects that not only shape human intelligence but also imitate more processes that outlast them.
While this is an issue that has long been occupied by thinkers, it is very exciting, because when it comes to the type of products and services that consumers will expect to reach the consumer market, what will that mean?