We are in the midst of an invisible revolution with the promise of ubiquitous and pervasive computing; not a dream, but a newly emerging reality. The nexus of cheap and capable devices, connectivity and cloud computing is rapidly giving shape to the Internet of Things (IoT). Microsoft is delighted to offer cloud computing resources to IoT researchers around the world through a special Azure for Research IoT call for proposals — next deadline is 15th August 2016.
“To maximise the economic and societal benefits of IoT, Social and Physical Scientists, working together, must anticipate and remove barriers to adoption. It also raises the bar on addressing 21st century technological challenges using innovative, collaborative and interdisciplinary research methods. IoT works alongside technologies like cloud analytics, such as Microsoft’s Azure platform, to revolutionise the application of IoT data streams,” explains Professor Jeremy Watson, University College London, who leads the PETRAS Research Hub, launched earlier this year with the aim of developing and deploying a safe and secure IoT.
The Azure IoT Suite provides an easy-to-use platform to connect devices to the cloud, allowing stream analytics, machine learning and powerful visualisations to be quickly integrated. With our open source Azure IoT Gateway SDK, researchers in any domain can experiment and build solutions capable of scaling up to millions of devices. By aggregating data in the cloud, researchers can apply analytics and machine learning to build predictive models that turn data into actionable information. This provides opportunities to take dumb devices and create truly intelligent solutions using your imagination.
There are dozens of examples of how the Microsoft Azure cloud is changing how we think about research and innovation, including:
Helping farmers to increase their crop yields by instrumenting their fields and adopting a real-time, data-driven approach.
The Microsoft Azure for Research program provides significant cloud computing resources to researchers across the world, including access to Azure IoT Hub and IoT Suite, along with services such as Azure Machine Learning and Stream Analytics. The application process is quick and simple. Submit your IoT proposal before the 15th August 2016. We've also put together some tips for writing a good proposal. We're interested in supporting research projects across the spectrum of IoT activities, including the following topics:
System design for end-to-end deployment of scaled IoT infrastructure.
Security and privacy for IoT scenarios.
Machine learning models to detect anomalies and other insights from IoT data.
Data visualisation to gain insights from large IoT data sets.
IoT infrastructure design and deployment challenges in a variety of domains, such as industrial automation, connected cars, smart cities, healthcare and so on.