Baidu deep learning in the three directions of artificial intelligence

Fox Business recently wrote an article summarizing three ways in which Baidu uses artificial intelligence technology to strengthen its business.

The following is the original content:

How important is artificial intelligence to Baidu? The company’s CEO, Li Yanhong, recently mentioned a dozen or so artificial intelligences on a conference call, and he even made a bold prediction in a recent speech:

"The PC era is over, and we will soon say goodbye to the mobile Internet era... I believe that there will be an era of artificial intelligence."

Baidu chief scientist Wu Enda has extensive experience in this field. He previously worked for Google (microblogging) parent company Alphabet, leading the "Google Brain" artificial intelligence project. He is also an adjunct professor at Stanford University where he teaches artificial intelligence courses. In a recent interview, he said:

"Artificial intelligence has been integrated into Baidu's genes. Recent advances in artificial intelligence have accelerated our development and accelerated the impact of artificial intelligence."

Deep learning is today's most exciting field of artificial intelligence. Along with the profound paradigm shift, a preliminary understanding of this technology may help investors better understand its application model.

So what exactly is deep learning? Simply put, this is a way to teach computer learning. Scientists attempt to replicate the structure and function of the human brain with a set of software models and algorithms that reproduce the learning power of the brain. The result of this is the artificial neural network.

To teach this system knowledge, you need to use huge computing power and massive data. Give it a lot of examples, let them find similarities between these examples, and interpret why they are related to each other. This system can learn to distinguish between differences. This process requires hundreds or even thousands of examples, and the correct answer is given for each example. After that, the system can use what you have learned to solve future problems.

China has 700 million netizens, and Baidu is in a leading position in the field of artificial intelligence in China. Because of this, the company was able to access massive amounts of data and gain significant advantages. Wu Enda said in a recent article:

“In a leading artificial intelligence team, many teams can replicate the software of other teams in a year or two. But it is extremely difficult to get data from other teams. So for many companies, the real moat is the data, and Not software."

Baidu began to engage in artificial intelligence research five years ago, and Baidu brain is the fruit of some efforts. The company's current focus is on four areas of deep learning: speech recognition and synthesis, image recognition, natural language processing, and user mining. Due to the large number of potential applications, Baidu has begun to apply these technologies to its own ecosystem to promote business development in many areas.

In addition to optimizing search business, Baidu also uses artificial intelligence technology to provide a better user experience and improve user satisfaction by improving the usability and efficiency of the application.

Chinese writing requires the use of thousands of words, so searching for Internet information on a smartphone is not practical. Most Chinese consumers prefer to use speech recognition to accomplish this task, and Baidu claims to have achieved 97% recognition rate in this field.

The company's Deep Speech 2 algorithm can even recognize English and Mandarin more than humans in some cases. Based on deep learning technology, Baidu Translation can translate 28 languages ​​and process an average of 100 million requests per day.

Baidu is also using artificial intelligence generated data to provide users with personalized restaurant and retail advice on its O2O platform. These data can help Baidu map users to predict traffic more accurately, and provide more relevant content in the company's recently launched news stream.

Baidu headquarters also integrates artificial intelligence technology. They use a CRM (CRM) system based on speech recognition to answer customer questions and provide real-time answers and data to sales people. The company also tested facial recognition-based access control systems at Baidu Building in Beijing.

With the expansion of Baidu takeaways from restaurants to fresh delivery and on-demand logistics, artificial intelligence can also better estimate delivery times. Baidu's distribution division achieved a 150% year-on-year increase in turnover in the most recent quarter, and the company attributed this to the improvements brought about by artificial intelligence technology.

Baidu recently entered the financial services market. They use artificial intelligence-based risk control techniques in this area, including facial and fingerprint recognition, activity detection, and identification of document optical properties.

Baidu believes that driverless driving is an important growth area in the future. The company has started testing driverless cars in China and California earlier this year. These cars use image recognition and deep learning based processing methods to navigate. Baidu also plans to achieve small-scale mass production of self-driving cars by 2018.

Baidu is taking advantage of the benefits of artificial intelligence technology to deploy the knowledge gained to its products and services. With a variety of application models, such as speech recognition and search, the company will reap the benefits of its massive data. They believe that artificial intelligence will improve most of its products, increase profitability, and provide a better user experience for a large number of consumer-oriented products. While the value of these benefits is difficult to quantify, the resulting results may be invaluable.

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