(Original headline: Artificial intelligence is getting more powerful, and it's about to be everywhere) Netease Technology News May 22 news, according to Vox reports, at the 2017 Developer Conference I/O, thousands of programmers full of expectation to want to understand more features of the Google software platform, but Google has not released Any "heavy product." Instead, Google is only making steady improvements to its product portfolio. Almost all improvements are driven by artificial intelligence (AI), and software increasingly understands the complex nuances of the surrounding world. Figure 1: Google CEO Sundar Pichai (Sundar Pichai) Many companies have been speculating on AI technology for a long time, but they often get mediocre results. However, AI is also easily underestimated, because it is often used to enhance the value of existing products, rather than create new products. However, even if you neglected AI technology in the past, there are two major reasons why you need to take it seriously. First, software is getting better and better at an alarming rate, which has plagued AI researchers for decades and suddenly solved the problem. Frank Chen, partner of venture capital firm Andreessen Horowitz, said: "With the help of AI, our software is becoming more and more powerful. The computer program can already bear the work that we previously believed that only humans could do the job, such as Identify content in photos, notify people when they go crazy, and summarize documents." Second, Frank pointed out that, more importantly, the AI's capabilities are almost omnipresent. Until recently, many large companies began to implant AI in their products. For example, smart phones can transcribe your voice, and Facebook can identify you in photos. But now, these big companies are beginning to open their strong AI capabilities to third-party developers. At such moments, it usually means that a new technology has had a tremendous influence. Until Apple launched an app store that allowed third parties to develop applications (such as Uber and Instagram), the iPhone really had a revolutionary impact. Soon, ambitious young people in every company and every dorm will be able to enjoy the same powerful AI tools as the world's leading technology companies. AI is becoming more and more powerful Figure 2: Mario Queiroz, Vice President of Product Management at Google Demonstrates Smart Loudspeaker Google Home at last year's Developer Conference The original form of AI has been around for a long time. As early as the 1990s, you can see the phonetic text software that can transcribe your text into a word processor. But the experience of these products is terrible. There are a lot of errors in the phonetic text software, and its transcription speed may not be as fast as using a keyboard to print files. The tablet's Newton handwriting recognition feature introduced by Apple in the 1990s was so bad that it later became a laughingstock. Until around 2010, the voice text function on smartphones was still wrong. However, AI technology suddenly made significant progress. Two years ago, I noticed that there was almost no mistake in the smartphone. Apple, Google and Facebook's Photo app can even recognize faces. In a recent keynote speech, Google CEO Sundar Pichai provided some data demonstrating the tremendous progress made in the error rate of speech recognition functions. Figure 3: Improved Speech Recognition Error Rate The data shows that Google Home Speakers Google Home can understand the user's language in a noisy room. In less than a year, the error rate of speech recognition has dropped by nearly half. Pichchai said that the rapid improvement of voice recognition is quite surprising. However, even more shocking breakthroughs are coming. Pichchai exemplifies that when you see a photo of your daughter playing baseball, you can quickly use Google's technology to remove the front net and make the photo look more comfortable. In a two-hour keynote speech, Google showcased its product portfolio, from Android to YouTube. It seems that every product has been greatly improved based on AI. The Google Photo app will quickly find your best photos and identify the tasks in the photos, then just click once to send a copy to everyone in the photo. Google Home is becoming smarter and can already distinguish different users in the family. If you say "call mom", Google's software can already understand based on your voice, that is, call your mother instead of your spouse's mother. AI becomes the focus of the next platform war Figure 4: Google’s Data Center in Oregon, USA Machine learning algorithms are supporting the AI ​​revolution. At last year's developer conference, Google announced that it has designed a special chip for machine learning applications called the tensor processing unit (TPU). Tests show that this chip executes machine learning code at 30 times faster than traditional computer chips. In the past year, Google has applied these chips in its data center to support the growing AI capabilities of Google's various products. At this year's developer conference, Google announced that it will open these chips to anyone soon. This is an important part of Google's cloud computing platform strategy. Google has released TensorFlow, its powerful machine learning software, as an open source project so anyone can use it. Google’s bigger goal is to build its AI platform as an industry standard and allow countless companies that rely on AI software to pursue it. When you develop AI software on a platform, you need to pay a high price when you want to convert the platform. To become an industry standard will bring great returns to Google. Of course, Google's competitors will never fall without fighting. Amazon has leveraged its Amazon Web Services to take a leading position in the meta-computing market and provide developers with machine learning tools that rival Google. Microsoft also introduced machine learning tools on its own cloud computing platform, Azure. Consumers may not care which tech giant's cloud computing platform supports their favorite applications or websites, but this platform war will directly benefit consumers. Because in order to win the cloud computing war, these tech giants need to build more and more powerful AI and make it available to everyone. This means that we are about to see an explosion in AI capabilities. Google demonstrated its future expectations for voice assistants through examples. On the developer conference stage, a Google executive said: “I want to order a snack at the Panera Bread Bakery Coffee Shop. This first of all requires dialogue with the application, which seems to be similar to the Panera Bread’s human cashier. For example, I want to When ordering a sandwich, the virtual assistant will ask me if I need to add a drink. After selecting the drink, the assistant can calculate the total price and then ask me the delivery address, etc." The extraordinary thing about this kind of communication is that it's not just simple communication. Virtual assistants such as Apple Siri have already had this ability several years ago. For US retail brands, using similar AI capabilities means they do not have to hire a large number of computer science doctors. Google’s commitment is to create this complex AI experience and apply them as soon as possible to building websites or developing smart phone applications. Google engineers are working hard to develop powerful tools so that non-software companies can develop their own services that could only be provided by professional technology companies 10 years ago. Achieving this vision may take several years, and the first web sites and smart phone applications may be terrible, but end consumers will find that each application can provide such capabilities. At the same time, more professional developers are also able to use the tools developed by Google, Amazon, Microsoft, and other competitors to continue this trend. For example, Frank said that machine learning technology will promote the development of the medical industry and help radiologists confirm cancer cells. In the past, a large team of AI experts was needed to complete such work. Today, basic tools have even penetrated into high school students. It is foreseeable that a large number of new applications are about to emerge, just as the emergence of smart phones has made Uber and other applications more popular. (small) Fast Wireless Charger,Iphone Wireless Charger,Portable Wireless Charger,Best Wireless Phone Charger wzc , https://www.dg-wzc.com
