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Lei Fengwang September 13, 2016 news, today held by Nvidia GPU Technology Conference GTC China 2016 held in Beijing. At the meeting, Nvidia founder Huang Renxun defined the company as an "AI Computing Company." Huang Renxun said that the evolution toward artificial intelligence will bring about 10 times more growth in computing requirements. In this trend, all companies will come to take this air. So how do these companies do artificial intelligence? See the site diagram of Lei Feng Network (search for "Lei Feng Network" public number concerned) .
Chen Qiang, head of the visual group at 360 Artificial Intelligence Research Institute, said at the conference that after 360, it will be a "security + intelligence" company. For instance, as reported by Lei Feng.com, 360's artificial intelligence research team was established in September last year. Currently, there are more than 20 doctors in visual computing and more than 20 masters in relevant fields.
1. First of all, as the personnel of the 360 ​​Artificial Intelligence Research Institute, 360's artificial intelligence business will focus on "Vision + Big Data".
In the current business line of 360, products such as live pepper, water droplet camera, and 360 driving recorder can provide data for the institute, and the latter's technological achievements can be used to optimize the experience in the business line. In addition to its existing business, the Institute hopes to develop vision-based smart driving solutions.
2. Deep learning is the core of 360 artificial intelligence. The data they use mainly includes images, video, and depth data.
3. 360 large-scale deep learning and training platform 360-Net, features are as follows.
4. One of the 360 ​​artificial intelligence cases: The data of small water droplets is transmitted back to the cloud for face recognition.
According to Chen Qiang, the current number of users of small droplets is on the order of a few million.
5. Case 2: Visual-based face analysis can run on smartphones and various mobile devices.
6. Case 3: Visual inspection is used to assist driving. The vehicle can effectively detect vehicles and pedestrians ahead.
At the beginning of this month, at the 360 ​​and DDT conferences, 360 officials also talked about the application of deep learning to driving recorders, hoping to implement part of the driving assistance function on the low-cost, low-power ARM platform.
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