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Powering all-scenario AI with Hybrid Cloud

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As demand for intelligent, online digital services continues to surge, governments and businesses are integrating AI throughout transformation. Their applications are migrating to the cloud faster and evolving based on massive amounts of data, apps, AI, and industry know-how. These applications will create more value if they combine new technologies with business dynamics and customer needs. The shift to digital is opening up a plethora of business opportunities for application developers. But many challenges lie ahead, stopping governments and businesses from moving key applications to cloud.


How AI is spicing up the food industry

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Hexa Food's IoT team has deployed Huawei's ModelArts coupled with the intelligent device Atlas 500 to accurately identify the quality of the chilies it uses in spice blends. The AI can distinguish good chilies from bad, improving production efficiency and the quality of spices available to chefs and homes across Malaysia. Known as the "Kingdom of Spices", Malaysia is a multi-ethnic nation comprising Malays, Chinese, Indians, and the indigenous Orang Asli people. Its diverse culture is reflected in its cuisine, which draws from a multicultural heritage that sees hundreds of spices add flavor to the Malaysian diet. And of these, the colorful, aromatic, and spicy chili powder is a mainstay of many of the nation's signature dishes.


HiLens: The developer friendly computer vision solution

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But, the barriers to entry for AI are high – as is cost. In Making Up the Mind, the neuroscientist Chris Frith describes how our perception of the world is not direct, but instead relies on "unconscious reasoning". Before we can perceive an object, the brain must infer what the object is based on the information that reaches our senses. And this constitutes humans' most important ability – the ability to predict and handle unexpected events. As part of this process, sight is the fastest and most accurate channel for information acquisition – we capture 80 percent of our information about the outside world through the eyes.


Huawei Wants To Tackle NVIDIA And Google With A Solid AI Strategy

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It supports mainstream deep learning frameworks such as TensorFlow, PyTorch and PaddlePaddle. Tensor Engine and its operators are Huawei's equivalent of NVIDIA cuDNN, a library that makes CUDA accessible to AI developers. MindSpore is Huawei's own unified training/inference framework architected to be design-friendly, operations-friendly that's adaptable to multiple scenarios. It includes core subsystems, such as a model library, graph compute, and tuning toolkit; a unified, distributed architecture for machine learning, deep learning, and reinforcement learning; a flexible program interface along with support for multiple languages. MindSpore is highly optimized for Ascend chips. It takes advantage of the hardware innovations that went into the design of the AI chips.