
The leading Chinese mobile manufacturer & tech giant Huawei has revealed its own two new artificial intelligence chips at a conference in Shanghai. HiAI will provide a full-stack portfolio for smart devices.
Huawei forecasts that by 2025, the world will see upwards of 40 billion personal smart devices, and 90% of device users will have a smart digital assistant.
"Our AI strategy is to invest in basic research and talent development, build a full-stack, all-scenario AI portfolio, and foster an open global ecosystem", Huawei rotating chairman Eric Xu said here yesterday in his opening keynote speech at the Huawei Connect 2018 event.
Huawei's first AI chip called the Kirin 970 was launched in 2017 and the company followed that up with the Kirin 980 earlier this year.
Huawei said its AI research will focus on natural language processing, computer vision, decision/interference, and machine learning. Meanwhile, the Ascend 310 is designed for internet-connected devices such as smartwatches, smartphones and other IoT (Internet of Things) devices. "We provide hardware and cloud services, so if it's a hardware company or a cloud service company, there is competition", he said.
Huawei's AI portfolio includes its AI chips, Ascend 310 and Ascend 910, and Compute Architecture for Neural Networks, which is an automated development toolkit.
Huawei has always been barred from selling telecom gear in the United States. "There are clear signs that AI will change or disrupt a whole host of industries", said Xu.
Huawei's AI push saw it sign a strategic agreement with Chinese search engine giant Baidu in December a year ago to build an open mobile AI ecosystem that covers platforms, technology, internet services, and content ecosystems.
Xu said the company would continue to improve internal management and efficiency through AI.
"In the telecom sector, we will adopt SoftCom AI to make network O&M more efficient". In the consumer market, HiAI will infuse intelligence into consumer devices, making them smarter than ever. Created to build an AI infrastructure covering the end, edge and cloud, the new Atlas includes the terminal-facing Atlas 200 AI accelerator module, the DC-facing Atlas 300 AI accelerator card, the edge-oriented Atlas 500 AI edge station, and the Atlas 800 AI appliance for enterprises. And that there are enough data scientists and subject matter experts to make it all add up to real business value.
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