Alibaba Cloud believes that artificial intelligence is not only reflected in the early concept but also in the industry. In 2016, the introduction of artificial intelligence ET is now recruiting more top partners in the AI ​​field to build the ET brain and further implementing artificial intelligence in the industry. .
The last Alibaba Cloud Conference in 2017 was held in Beijing a few days ago. Alibaba Cloud President Hu Xiaoming fully exposed the AI ​​layout from visual, voice, algorithm to chip construction. Hu Xiaoming emphasized that artificial intelligence is not only conceptual but also industrial. If you use a sentence to describe Alibaba Cloud's AI strategy, it is "scenario-driven, industrial concentration." Alibaba Cloud AI chief scientist Wan Wanli introduced the Ali cloud artificial intelligence ET brain.
In 2016, Alibaba Cloud released artificial intelligence ET, integrating Alibaba's voice, image, face, natural language understanding and other capabilities, and was positioned as the world's first brain-like architecture AI; in 2017, Alibaba Cloud will ET from a single point The skills are upgraded to an ET brain with global intelligence. Alibaba Cloud ET combines AI technology, cloud computing data capabilities and vertical domain industry knowledge, based on brain-like neural network physics architecture and fuzzy cognitive inversion theory, to achieve technological leap from single point intelligence to multi-body intelligence. Create a super-intelligence with brain-cognitive capabilities such as multi-dimensional perception, global insight, real-time decision making, and continuous evolution.
At the same time, Wan Wanli announced the launch of the “Maxima Project†around the ET brain, recruiting top partners in the global AI field to build the ET brain and landing on more industries. The ET brain is set up as an open AI ecosystem that will be deployed and implemented in AI applications in six major areas of finance, manufacturing, automotive, retail, urban, and home.
Alibaba believes that the principle of AI empowerment industry: First, there must be scene driven. Can solve problems, reduce costs and improve efficiency for society; Second, there is enough information to drive the improvement of AI capabilities; Third, there are enough computing power to support algorithms and deep learning. Artificial intelligence is valuable only if only three scenarios are available at the same time.
Alibaba Cloud also pointed out that since the official opening of AliOS Things in October, 21 chips including 17 domestic and foreign chip manufacturers such as STMicroelectronics have been transplanted or are being transplanted to AliOS Things.
And another lightweight operating system for the IoT field, AliOS Lite is also officially open source. Compared with AliOS Things, AliOS Lite supports more processing, supports intelligent processing such as voice interaction and visual computing, and is suitable for IoT devices with low CPU performance and low memory requirements, such as smart audio, smart watches, smart cameras, and so on.
At the same time, there are already 17 mainstream chip manufacturers including Intel, NXP, MediaTek and Spreadtrum, which plan to support AliOS Lite, which will jointly provide core foundation capabilities for more featherweight intelligent hardware companies. In 2018, AliOS will be open source on multiple platforms.
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