Google CEO Sundar Pichai spoke about Google's transition to Artificial Intelligence, opening the Google I / O 2017 Developer Conference.
In his speech, he said, "I'm in Google for 13 years and it's remarkable how its founding mission, making information accessible and useful, is just as timely. From the beginning, we have applied computer science and its conclusions to solving complex problems, even when the technology around us has caused dramatic changes.
The most complex problems tend to be the ones that affect people's daily lives, and it's fascinating to see how many people have made Google a part of their daily lives: There are 2 billion active Android devices, YouTube not only has a billion users but also a billion hours monitorings every day and Google Maps is used to navigate over 1 billion kilometers every day. This growth would not have been possible without the IT transition to mobile, which led Google to redesign all of its products—reinventing them to reflect new interaction models, such as multi-touch screens.
We are now witnessing a new transition to information technology: the transition from mobile domination to artificial intelligence. As before, this change is forcing Google to reinvent its products, in an effort to create a world that allows for a more natural and seamless interaction with technology. Consider Google search: developed on the ability to recognize text on web pages. But now, through the application of machine learning, we can make images, photos and videos more useful to users than ever before. Your cell phone camera can "see", you can talk on your cell phone and it can answer - speech and vision become as important in computing as the keyboard and multi-touch screens.
Ο Digital assistant Google is a tangible example of these developments. 100 is already available in millions of devices, and is made every day and more useful. The Google Home can now distinguish different voices, giving users a personalized experience each time they interact with the device. Google is also now able to turn the mobile camera into a tool for handling everyday tasks.
The Google Lens is a series of computational capabilities that, by understanding what you see, can help you take your next actions. For example, if you've been on the floor of a friend's apartment to see a long and complicated Wi-Fi code behind a router, your mobile phone can now recognize the code, understand that you're trying to connect to a Wi-Fi network -FI and connect you automatically. The key point is that you don't need to learn anything to do it. The interaction and experience becomes much simpler than the process copyς και επικόλλησης κωδικών από τη μία εφαρμογή, στην άλλη, σε ένα smartphone. The new Google Lens features will first be added to Digital Assistant and Google Photos and then you can expect them to become available in other products.
All of this requires the appropriate IT infrastructure. Last year at I / O, Google announced the creation of the first generation of dedicated processors TPU (Tensor Processing Unit), which allows machine learning algorithms to run faster and more efficiently. Today, we announce the new generation of TPU processors: their Cloud TPUs, which optimize the conclusions-making functions, the engineering training process and can process much more information. Google brings Cloud TPUs to its platform and Google Compute Engine so companies and developers can take advantage of it.
It is important for us to make all these developments beneficial to everyone and not just Google product users. Great achievements in complex social problems can be realized if scientists and engineers have better, more powerful information tools for their research. But today, there are many obstacles to making all of this a reality.
This is the motive behind it Artificial Intelligence of Google, merging all of Google's Artificial Intelligence initiatives into one, which can overcome these barriers and accelerate the efforts of researchers, developers and companies.
One way we hope to make artificial intelligence more accessible is to simplify the creation of machine learning models, also called neural networks. Today, the design of neural networks is very time consuming and requires such cognitive expertise that it limits their use to a small community of computer scientists and engineers. For this reason, Google has created an application called AutoML and which proves that it is possible for neural networks to design new neural networks. At Google, we hope that AutoML will be able to design neural networks that are currently only available to doctoral students in the field and in 3 to 5 years will be able to design hundreds of thousands of developers to design neural networks based on their needs.
In addition, Google Artificial Intelligence (Google.ai) researchers collaborate with scientists from many academic disciplines and developers in search of solutions in a series of problems, having offered very satisfactory results to date. We used machine learning to improve the algorithm that detects it spread of breast cancer to adjacent lymph nodes. We also found that Artificial Intelligence minimizes time and maximizes the accuracy with which researchers can explore properties of molecules but also the ones human genomes.
This transition to the new world of Artificial Intelligence is not limited to creating futuristic devices or conducting a frontier research. We believe that millions of people can help today through the full democratization of access to information and the emergence of new opportunities.
For example, almost half of employers in the United States say they have trouble filling vacancies. At the same time, the unemployed often do not know about the opening of a position almost next to them, because the nature of the ads - frequent changes, low traffic, inaccuracies in job titles - were the reason why search engines do not recognize them. Through a new initiative, Find Jobs (Google for Jobs), we hope to connect companies with leads employees and help job seekers find new opportunities. As part of this effort, a new feature will be launched in Search that will help people search for jobs based on their experience and salary levels. The jobs also include sectors where it has traditionally been much more difficult to find and sort jobs, such as service and retail.
It is a source of inspiration for us to envision the fruits Artificial Intelligence can deliver. There is still a long way to go before we really get into the world of Artificial Intelligence, but the more we can work to provide greater access to technology - offering tools to people - so soon all will benefit. "
