‘Imagine If’ with EduConnect – 20th December 2017

EduConnect is a cross-company initiative comprised of a team of Microsoft UK interns from all over the business, under the tutelage of Craig Parker, the Microsoft UK Education Partner Lead. Together, they share a collective desire to empower children to get into coding and STEM. One key focus of the EduConnect team is to train other Microsoft employees so that they can run sessions in their local schools that include coding activities, micro:bit projects and STEM initiatives. The team also visit schools themselves, running activities on-site, recently marked Ada Lovelace day by putting on events and activities throughout October, engaging over 300 children.


Get started with quantum development

Want to explore quantum development? Begin today with the Microsoft Quantum Development Kit. Download now Your quantum journey begins here watch the following overview of the Quantum SDK Build with a quantum-focused language Get to know Q#, the brand-new quantum-focused programming language. Fully integrated with Visual Studio, enterprise-grade development tools give you the fastest path…


Serverless + Service Bus Queue = Magic

Guest post by David Adeboye Microsoft Student Partner at University of Cambridge About Me Hello! My name is David Adeboye and I am currently studying Computer Science at University of Cambridge. My main interest is in site reliability and concurrent and distributed systems, and in particular, I like designing system architectures in interesting ways. LinkedIn…


Digital classrooms aren’t a distraction. Here’s why.

Many people assume that devices and technology distract students and negatively affect how teachers run their lessons. That’s not the case when implementation is done purposefully, with learning tools that support existing structures in the classroom. In other words, tech doesn’t replace the teacher, but enhances their capabilities in teaching and administration. One of the…


An Introduction to Machine Learning through Microsoft ML

Guest blog by Christian Hollreiser Microsoft Student Partner at University of Oxford About Me Hi! My name is Christian Hollreiser and I am currently reading an MSc in Computer Science at the University of Oxford. My main interest lies in Artificial Intelligence and Machine Learning in particular. I hope to use these fields to find…


Utilizing Custom Vision AI for creating Cognitive Services Projects

Guest post by Sidak Pasricha Microsoft Student Partner at UCL Personal Introduction: Hello! My name is Sidak and I’m a Microsoft Student Partner currently pursuing Computer Science Engineering at UCL. My interest areas mainly include Artificial Intelligence, Robotics and Video Game Development but I am open to any other technologies as I enjoy learning new…


Performance of running NNs across Azure GPU Series Data Science Virtual Machines

One of the question I regularly get, from Student and academics is, Which NN runs the best on Azure? Caffe2MXNetGluonCNTKPyTorchTensorflowKeras(CNTK)ChainerKeras(TF)Lasagne(Theano)Keras(Theano) NNs on Azure So Azure has lots of support for these including prebuilt Azure Batch shipyard container see https://github.com/Azure/batch-shipyard/tree/master/recipes  So one of our colleagues Ilia Karmanov has developed a set of jupyter notebooks for the…


Microsoft Azure Low-priority Virtual Machines – take advantage of surplus capacity in Azure.

Low-priority VMs make new types of Batch workloads possible by providing a large amount of compute power that is also economical. See example at https://blogs.msdn.microsoft.com/uk_faculty_connection/2017/07/24/running-a-simulation-on-20-low-priority-azure-vms-for-a-cost-of-0-02/  Low-priority VMs Take advantage of surplus capacity in Azure. When you specify low-priority VMs in your pools, Azure Batch can automatically use this surplus when available. Low-priority VMs are offered…

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Microsoft’s Batch AI Service – Train & test machine learning models, on pools of GPU machines.

Microsoft Batch AI Microsoft’s Batch AI Service is a new service that helps you train and test machine learning models, including deep learning models, on pools of GPU machines. It simplifies the process of creating a cluster of machines and training on it using many popular deep learning frameworks like TensorFlow, Microsoft Cognitive Toolkit, and…


A first step into Azure Functions and other Azure services

Guest blog by Johannes Goslar Microsoft Student Partner at Oxford University   About Me Let me introduce myself first. I am Johannes – usually called Johnny – Goslar. I got into development around 2011 by programming iOS games and am currently reading for a MSc in Computer Science at the University of Oxford. More information…