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China's E-commerce giant Alibaba Group has announced its plan to launch its first self-developed AI chip in the second half of 2019. The chip is named AliNPU, which stands for Alibaba Neural Processing Unit, and it is designed specifically for AI tasks such as image and speech recognition.

The AliNPU is an important product for Alibaba's AI efforts, as it will enable the company to enhance its algorithms and achieve better accuracy and efficiency in its AI applications. Currently, many of Alibaba's AI tasks are run on chips developed by other companies such as Nvidia and Intel.

According to Alibaba, the AliNPU will be able to process 50% more data while consuming 10% less power compared to current industry standards. It will also have the ability to improve the accuracy of machine learning models by 20%.

Alibaba's AI chip development is part of its wider technology investment strategy, which aims to build a comprehensive and integrated technology infrastructure for the company's various businesses. This includes developing its own hardware, such as the AliNPU, as well as investing in cloud computing, big data, and IoT technologies.

Alibaba's AI efforts have already seen significant success, particularly in the areas of e-commerce and logistics. Its AI-powered customer service chatbot, AliMe, can handle over 90% of customer queries without human intervention, and its delivery robots are being used by logistics companies in China to improve efficiency and reduce costs.

The launch of the AliNPU is also significant for China's semiconductor industry, which has been growing rapidly in recent years. By developing its own AI chips, Alibaba is contributing to the country's efforts to reduce its reliance on foreign technology and become a leader in the global semiconductor market.

In summary, Alibaba's launch of its first self-developed AI chip, the AliNPU, is a significant step in its wider technology investment strategy. The chip will enable the company to enhance its AI algorithms and achieve better accuracy and efficiency in its AI applications, as well as contributing to China's semiconductor industry growth.