Electronic enthusiasts eight o'clock: The annual Google (microblogging) I / O developer conference arrived on the 17th, compared with previous years, this year's Google Developer Conference is more like a transitional mid-year debut . Compared with last year, Google’s strategic direction of “from mobile to artificial intelligence first†has not changed.
In the keynote speech on the first day of I/O, Google did not show and release any dazzling black technology as it did in the early years. More is the application of artificial intelligence technology to Google's existing product line to enhance users. The release and improvement of some specific features of the experience.
Although the whole process is a bit boring, Google does not come up with amazing black technology and dazzling technology as people expect, but it must be admitted that in reality, Google is still the current mainstream technology company, will be artificial Smart technology is being promoted to the best company at the application level. Google is making more pragmatic use of artificial intelligence technology to solve the actual "pain points" that many users encounter during the use of products.
(Compared with last year, Google’s emphasis on moving from mobile to artificial intelligence has not changed in the slightest direction)
The product line is fully driven by AIAt the IO conference that day, Google CEO Sundar Pichai pointed out that Google's core mission, organizing information about the world, has become clearer in the era of artificial intelligence. In this context, Google is rethinking the existing product line.
(Google Assistant drives Google's existing product line)
The above picture clearly shows that Google's artificial intelligence technology is already driving Google's most important products, including search, Google cloud services, Google Maps, Youtube, Google Photos, etc., and Google applies artificial intelligence technology to specific product application levels. Appears in the form of an entity such as "Google Assistant."
With the artificial intelligence technology behind Google Assistant, Google has re-optimized the user experience of all product lines, making these products more user-friendly and smarter to use.
For example, the Google Home Smart Speaker with Google Assistant can understand the context of people and their conversations, making the conversation closer to natural language. Google Home can also display information in real time on the screen of the entire user ecosystem, whether it is the user's The smartphone screen, or the user's smart TV, etc., at the conference of the day, Google Assistant even landed on the iPhone terminal and directly competed with Apple's Siri voice assistant.
It is worth mentioning that Google has also opened up the developer tools of Google Assistant and has extensive cooperation with third-party hardware brand manufacturers. This idea is actually the same as the previous Android, forming a broader ecology in an open form. The core is still driven by Google's artificial intelligence technology.
From the whole theme highlighted by Google on the day of the day, there is no slight change from last year’s strategy of “moving from smart to smart firstâ€. The biggest change is that Google’s commitment to “artificial intelligence priority†is Delivered through a more refined and sophisticated product experience.
In addition to the intelligent upgrade of the existing product line, Google also released some new products at the conference, including the Google Lens app for image recognition using artificial intelligence technology, which uses Google's image recognition function to recognize the camera. The specific information captured in the picture, such as pointing the camera at the restaurant on the street, Google Lens can identify the name of the restaurant, the previous user rating and a series of information already in the huge database of Google, the application can also Identify the phone number and other information in the picture, which is convenient for users to dial directly.
Another highlight of Google’s release on the same day was the release of the second cloud-based Google Deep Learning Chip TPU. Google CEO Sundar Pichai emphasized at the conference that TPU used to be used in deep learning and recognition, and GPUs are more used. The artificial intelligence model and data training links, while the future TPU will provide powerful functions in both model search and recognition.
At the conference, Pichai proposed the concept of Google's artificial intelligence framework (Tensorflow) + everyone. In fact, this is similar to the "DemocraTIze AI" (democratic AI) proposed by Google Cloud Conference a few months ago. The emphasis is that the future of artificial intelligence is not only a matter for large companies, but for each small and medium-sized developer, they can use the artificial intelligence technology framework provided by large companies to make specific products and applications. In fact, it is no different from a technological revolution that fully promotes AI.
Google is still the best company for artificial intelligence to push to the application level.Although from the perspective of ordinary users, Google's many features optimization and product updates introduced on the day may not attract too much interest. From the user's point of view, perhaps many features Google or other large companies should have provided. But in fact, from the perspective of technology implementation, it is not an easy task to apply artificial intelligence technology to the product level. For Google engineers, perhaps a specific small product function driven by artificial intelligence, behind Spending energy and time is no less than developing a brand new product.
So at the Google Developers Conference, or other developer conferences, you can clearly feel this cognitive difference. For ordinary users and even the media, Google's developer conference is becoming more and more boring, there is no parachute falling from the sky. Without eccentric glasses, Google is becoming more pragmatic, constantly optimizing and perfecting its products from its best, and enhancing the user experience.
The foundation of all of Google’s efforts is that Google’s product line has deeply affected a wide range of people. At the conference, Google announced that the total number of monthly active devices running Android has exceeded 2 billion. On this basis, Google products with more than 1 billion users include search, chrome browser, map, Youtube, Google Play App Store, Google. Mailbox, etc.
(The monthly active device running Android has exceeded 2 billion)
At such a level, the rapid development of artificial intelligence technology in recent years is actually a rare opportunity for Google. Using Google's artificial intelligence technology, Google can actually build on the original huge ecosystem. Further expansion of the territory, such as Google Assistant is widely working with third-party manufacturers to promote applications to a wider range of devices, Android Auto is also working with more car manufacturers to enter more car control panels.
(The number of active users of Google's various products has exceeded 1 billion)
From the perspective of the whole industry, artificial intelligence is actually the next focus of all major technology companies. But like Google, Microsoft, Amazon, Facebook and other similar problems face how to artificially promote artificial intelligence technology. To the level of the application product that can reach the user.
The industry has actually reached a key node, that is, the expectation of artificial intelligence is unprecedented. The AI ​​can complete everything and change everything, but from the company's point of view, from artificial intelligence technology to application productization, There is still a long way to go.
At present, major technology companies have found a consistent direction, emphasizing the new form of interpersonal interaction, including the Amazon Alexa, Google Home, and other hardware vendors Microsoft Cortana and other smart speakers came into being.
From a technical point of view, the voice recognition technology of each family is similar, the difference is not big, a voice artificial intelligence technology industry experts told Tencent Technology, in fact, the current smart audio products are relatively mature technology. However, artificial intelligence speech recognition technology has advanced a lot in academics, but because it is specific to the application level, it will involve the user experience. For the company, it uses the latest technology to improve the recognition accuracy but increase the delay and use mature technology. In terms of trade-offs that accept relatively low accuracy but with minimal delays, companies tend to use more mature and reliable technologies from a user experience perspective.
At present, in the field of voice human-computer interaction, Google's advantage lies in its strong position in the mobile Internet era. The Google ecosystem based on smart phones, smart TVs or other mobile smart devices has been widely formed and difficult to shake. It is logical to introduce a new human-computer interaction interface based on artificial intelligence technology.
From a practical point of view, in fact, Google has become the most successful company in the industry to push artificial intelligence technology to the application product level. At present, most of the specific products under the Android ecosystem used by users have already used Google's artificial intelligence. Technology, although from the user's point of view, the experience brought by Google's artificial intelligence technology is not perfect, such as the image recognition technology already applied in Google Image application, still exists when identifying objects in a specific picture The problem of low accuracy, in addition, the recognition of Google Voice Assistant still needs to be improved, but it is undeniable that Google has taken a solid step in comprehensive AI and is still in the leading position in the industry.
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