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Microsoft machine learning platform will use Intel’s visual processing chip to initiate cooperation

Microsofts machine learning platform will use Intel‘s vision processing chip to initiate collaboration. As Intel’s Movidius chip expands its potential in machine vision and artificial intelligence (AI) products, the partnership will be realized at the edge of the network. Conduct AI inference related applications.
According to Enterprise Tech, the combination of Intel’s Movidius Myriad X vision processor and the Microsoft platform will allow developers to explore machine learning tasks within the Microsoft operating system. The Intel Vision Processor is one of Microsoft’s list of processors for handling AI workloads, and the focus of collaboration with Intel will be on assisting Windows clients to deploy deep neural network applications.
Intel sees the Movidius Myriad X vision processor as a system-on-a-chip with a dedicated neural computing engine for deep learning inference applications at the edge of the network. The third generation of chips is designed to improve the performance of deep neural networks while handling specific AI tasks that may slow down the performance of other systems.
This approach is intended to provide AI developers with another deep learning inference option specifically designed to train machine learning models, freeing up hardware space for other workloads. For edge devices, the vision chip running on the Microsoft Machine Learning Platform also reduces power consumption and eliminates the need to write custom code. Potential applications include Windows client applications such as personal assistants, biometric security, and advanced search capabilities.
Intel launched the Myriad X vision processor in the summer of 2017, and acquired audio and video processing provider Movidius a year later. Working with Microsoft, Intel can expand the visual processor market for AI applications through Microsoft’s vast Windows client installation base. The cooperation between the two parties can also transfer AI functions such as deep learning inference applications in the data center to edge devices.
Market watchers point out that visual processing engines are critical for emerging AI applications such as autonomous vehicles, drone fleets, and Internet of Things (IoT) sensor networks. One of the chip manufacturer‘s visual processing strategy goals is to move the AI ​​solution from the cloud to the edge of the network, so other chip makers such as Intel and ARM (ARM) are focusing on low-power IoT applications.
Although the focus is on IoT devices, ARM also launched a machine learning platform in February 2018 to improve device functionality through features such as object detection. At the same time, Intel’s partnership with Microsoft represents a new category of smart edge devices in the future.

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