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Live preview | OPEN AI LAB "AIoT chip development trends and application implementation"

Latest update time:2019-07-03
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2018 is the first year of large-scale application of AIoT. The drastic interaction between the huge IoT market and revolutionary AI technology will bring unprecedented application revolution and business opportunities. Although we have entered the AIoT era and have a foreseeable bright future, there are still many practical problems to be solved before it can be truly implemented. Among them, chips play a very important role in the evolution of the entire AIoT.

OPEN AI LAB has developed a lightweight, modular, high-performance neural network inference engine - Tengine, which is optimized for Arm embedded devices and provides unparalleled performance that exceeds all known open source frameworks. It can be used across platforms to support Android and Linux. In addition, the Tengine framework does not rely on dedicated AI chips. Existing mature chips can tap into their computing power through the Tengine framework and process some AI applications locally, thereby improving chip performance and reducing costs.

In the 48th lecture of "Big Coffee Live", "AI Investment Research" invited Gao Jinwei, product ecology director of OPEN AI LAB Tengine , to bring a live sharing on the theme of "Development Trends and Applications of AIoT Chips" , to let us understand the development trends of AIoT chips and the application of OPEN AI LAB chips in this field. The following is the relevant content of this live broadcast:

Live Information

Time: 20:00-21:00, July 4, 2019 (this Thursday);

Topic: AIoT chip development trends and application implementation;

Speaker: Gao Jinwei, Product Ecosystem Director of OPEN AI LAB Tengine;

Guest Introduction

Gao Jinwei, Product Ecosystem Director of OPEN AI LAB Tengine;

Director of OPEN AI LAB Tengine Product Ecosystem, expert in embedded AI technology. Former Arm Technical Marketing Manager, responsible for the promotion of Arm AI technology.

OPEN AI LAB was established in December 2016 and initiated by Arm China and its industry partners. It is committed to promoting in-depth cooperation in the entire industry chain of chips, hardware, algorithms, and software, and accelerating the deployment of artificial intelligence industrial applications and the expansion of application scenarios. Tengine is a lightweight, modular, high-performance neural network inference engine. It is the software framework of the Arm China Zhouyi platform and is specially optimized for Arm embedded devices. It perfectly supports the Arm platform, supports Arm Cortex CPU, Arm Mali GPU, Zhouyi AIPU, and third-party DSP, and can be called the "all-rounder" in compatibility.

Share an outline

  1. Traditional chips VS AI chips;

  2. The pain point of AI chips -- software development tools from scratch;

  3. Application development pain point -- chip fragmentation;

  4. Tengine is an open AIoT software development platform.

way of participation

Forward the poster below to your Moments and add the teaching assistant Xiaomu’s WeChat (moocmm) to request a viewing code and participate in this live broadcast for free! (Members of Leifeng.com AI Investment Research can participate directly throughout the year)


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