With full binary compatibility to windows server 2019, device manufacturers can build server-class iot edge devices that enable high-capacity storage and compute scenarios and seamlessly scale between cloud and the edge.Cognitive learning theory in the classroom for example, imagine network video recorders or high-end gateways, connecting thousands or even tens of thousands of sensors or devices, then storing, analysing and acting on these data streams in near real time with reduced latency and bandwidth consumption through using the power of the intelligent edge.Cognitive learning theory in the classroom

• azure iot edge for windows: developers can bring cloud workloads to the edge so they can harness the full power of the windows 10 iot platform.Cognitive learning theory in the classroom they can scale iot products across the cloud or edge with a managed service that delivers cloud intelligence locally by deploying and running AI, azure services and custom logic directly on cross-platform iot devices.Cognitive learning theory in the classroom users benefit by deploying cloud applications and services on the edge, while ensuring they meet latency, bandwidth and data privacy requirements.Cognitive learning theory in the classroom

• azure iot device agent for windows: users across industries, whether in an industrial setting or retail environment, are looking for ways to provision and manage their iot devices remotely.Cognitive learning theory in the classroom direct device access may not always be feasible when iot devices are out in the field or on the factory floor. Azure iot device agent enables operators to configure, monitor and manage their devices remotely from their azure dashboard.Cognitive learning theory in the classroom

• robot operating system for windows iot: now developers can build and deploy a commercial-grade robot operating system (ROS) on windows, making robots easier to develop, more aware of their surroundings and safer to be around.Cognitive learning theory in the classroom bringing ROS to windows iot enables rich AI and intelligent edge capabilities, including hardware-accelerated windows machine learning, computer vision, azure cognitive services and turnkey connection to azure iot cloud services

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“microsoft has been a valued addition to the ROS-I consortium,” says matthew robinson of the ROS-industrial consortium americas. “our membership has expressed significant interest in developments that will bring the advanced capabilities of ROS to industrial applications on the windows platform and enable richer integration with other microsoft tools that the consortium membership have come to leverage.”

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Microsoft is continuing its partnership with dutch electronics company NXP and is announcing a public preview for windows 10 iot core with built-in azure connectivity, running on NXP’s i.MX 8M and i.MX 8M mini applications processors.Cognitive learning theory in the classroom the i.MX 8M processors can enable secure, power-optimised devices for the intelligent edge that give developers a choice of linux or windows iot.Cognitive learning theory in the classroom

Developers can build intelligent devices using the windows development environment and commercialise them using the azure iot platform as well as azure cognitive services.Cognitive learning theory in the classroom in addition, NXP has worked with microsoft to enable azure iot edge on linux for the i.MX 8M and i.MX 8M mini. Azure iot edge lets users deploy and manage containerised cloud workloads running on i.MX8 devices from their azure iot dashboard.Cognitive learning theory in the classroom

“we are pleased to expand our partnership with microsoft to bring azure iot edge to our high-performance, multicore i.MX 8M applications processors platform,” said geoff lees, senior vice president of microcontrollers at NXP.Cognitive learning theory in the classroom “with this addition, NXP customers will have access to industry-leading edge computing, from i.MX 6 to i.MX 7 and i.MX 8/8M across windows 10 iot core and linux operating systems, for advanced industrial and iot applications, harnessing the full power of azure in their intelligent edge products.”

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“the combination of qualcomm technologies’ cutting-edge platforms and windows 10 iot enterprise can enable always-connected, always-on intelligent edge devices to help companies of all sizes and industries deliver on the promise of iot,” said jeffery torrance, vice president of qualcomm technologies.Cognitive learning theory in the classroom “we’re excited to support the work of companies like USI, with its SOM 850, and thundercomm, with its turbox AI kit, as they bring their products to commercialisation.”