At baidu’s AI developer conference last year, when Lu Qi single-handedly held the stage, Li Ran up the fifth Ring Road in a self-driving car, his face beaming with joy. At the time, Li probably didn’t think his sweet time with Lu Qi would pass so quickly.


Now a year has passed, the same season, the same place, in front of the same audience, Robin Li is alone, but baidu is still moving forward as usual.


Mass production of driverless cars has been achieved


At the opening of Baidu’s AI developer conference on July 4, Robin Li answered the question he has been asked most frequently all year: When will Baidu’s self-driving car actually go into mass production? Although Li said that “building cars is not the same as building powerpoint, there are always late deliveries…” But he did offer some good news, announcing last year that the July 2018 target for mass production had been reached. “We’ve achieved what we promised!”

From the scene and King Long Bus chairman Xie Siyu line dialogue, this is called “Apolong” the world’s first L4 level of self-driving bus has been produced 100. The apollon’s interior design has no steering wheel, driver’s seat, or accelerator or brake pedals.


Appolon, which has finished final assembly, will soon be shipped to Beijing, Xiongan, Shenzhen, Pingtan, Country Garden, Fujian, Wuhan, Hubei, Tokyo and other places for commercial operation.


At the same time, Li announced self-driving cars to carry goods as well as passengers.


Li said 2018 will be the first year for the commercialization of autonomous driving, comparable to the historic point when the Model T rolled off the production line. “The biggest disruption in the AGE of AI is the gradual simplification of the complex parts of a car, replaced by a lot of code.” The Apollo platform now has 22W+ lines of code open, a six-fold increase from last year.


Intel is also working with Baidu in areas such as autonomous driving and artificial intelligence. Baidu will integrate and commercially deploy the Responsibly-sensitive security (RSS) model developed by Intel and Mobileye on its open-source autonomous driving platform Apollo. Baidu is also cooperating with Intel’s AI business unit in apolong, intelligent AI chip camera module Xeye, optimization of Baidu’s deep learning framework PaddlePaddle, and FPGA acceleration and service projects.


▌ Release the first cloud-based fully functional AI chip


The data and algorithm required by AI are Baidu’s strengths. In terms of computing power, Robin Li launched the first cloud fully functional AI chip independently developed this time — “Kunlun”.


“Kunlun” is based on Baidu’s 8 years of CPU, GPU and FPGA AI accelerator development, more than 20 iterations. According to li, it is by far the most powerful AI chip in the industry (260Tops at 100+ watt power consumption), “nearly 30 times better than the latest fpga-based AI acceleration.”


Kunlun chip can meet both training and inference requirements. In addition to cloud requirements such as common deep learning algorithms, kunlun chip can also adapt to specific terminal scenarios such as natural language processing, large-scale speech recognition, autonomous driving and other computing requirements.

The birth of Kunlun enables Baidu Brain to have a more complete integration of software and hardware, which also contributes to the growth of the computing power of Baidu Brain 3.0 version. Based on this, Baidu Brain 3.0 forms a full stack of AI technology layout from chip to deep learning framework, platform and ecology.



Wang Haifeng, senior vice president of Baidu and general director of AI Technology Platform System (AIG), gave a detailed introduction to Baidu Brain 3.0. The core of this update is multi-modal deep semantic understanding technology. Baidu has been developing deep learning technology since January 2012, and today released PaddlePaddle 3.0, which can realize the rapid application platform building with zero basic threshold. Baidu’s Kunlun chip will also support the PaddlePaddle platform. Baidu Brain is now called more than 400 billion times a day.



▌ Everyone can AI


Robin Li also demonstrated baidu’s progress in conversational AI, especially the new changes it brings to the service industry. As Google display in the near future can make reservation call Duplex assistant general, before the conference, baidu intelligent customer service has also played a hundreds of phone call to attend developers, although in the presentation of audio, doesn’t seem to reflect what robin li said “many developers do not recognize each other as assistant to the machine, confidently, But the overall performance was good.




“Brain volume” will become a key indicator of industry intelligence. Since the Baidu World Conference in November last year, the number of calls for voice capabilities has increased by 94 percent, the number of daily calls for visual capabilities by 416 percent and the number of daily calls for natural language processing by 180 percent, according to Baidu. In addition, the number of calls for face recognition technology in vision increased nearly eightfold.

Li believes that it is open and open that AI is infiltrating into the capillaries of economic society. Just like the PC era, Baidu will provide people with the most equal and convenient access to information. Baidu AI will open up data, computing power and algorithm capabilities, allowing people to cross the “intelligence gap” equally and conveniently.


While Li has previously dismissed baidu’s “All in AI” claim, his message to the AI developers here today was Everyone Can AI.

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