If you have large data sets that seem too big to map, then watch this IoT show to learn how to cluster data in Azure Maps so your users can rapidly extract insights from very large data sets.

Ricky Brundritt, Principal Technical Program Manager, Azure Maps, takes you on a historical journey from grid-based clustering to radius-based clustering. You’ll learn how the power of the open source community has contributed to the supercluster library which Azure Maps leverages extensively. Watch Ricky demo and step through Azure Maps code for clustering using large data sets of shipwrecks and earthquakes. Learn how to use cluster aggregates to perform calculations based on properties of the children of each cluster. Ricky wraps up with a demo visualizing clustered map data in the form of pie charts—again, to enable your users to extract insights quickly.

Access demo source code here: https://aka.ms/AzureMapsSamples

Face-recognition technology is quickly becoming more common. Should we be concerned?

It’s being used to unlock phones, clear customs, identify immigrants and solve crimes. In the Video Op-Ed above, Clare Garvie demands the United States government hit pause on face recognition. She argues that while this convenient technology may seem benign to those who feel they have nothing to hide, face recognition is something we should all fear. Police databases now feature the faces of nearly half of Americans — most of whom have no idea their image is there. The invasive technology violates citizens’ constitutional rights and is subject to an alarming level of manipulation and bias.

Microgravity can be used to unlock old materials and make new ones in ways that can’t be replicated on Earth. Private companies know this, and are leading the charge toward the next gold rush. But can they turn low Earth orbit into a home for the next industrial revolution?

Ever since my concussion three years ago, I have been fascinated by the brain and how to nourish it.

A major breakthrough in quantum tech allows us to see brain activity in far greater detail than ever before.

Pindex examines the fascinating research going on this space.

What If ponders what the world would be like if we already had quantum computers. I’d hold off on their advice about throwing out your old computers though.

Get rid of your old computers, because the future of technology has arrived! It’s not artificial intelligence or virtual reality; it’s something called quantum computing! And it could completely revolutionize every aspect of our society, from healthcare to finance, and even national security. But how does it work?When can we expect it? And what could happen if it gets into the wrong hands?

Julie Lerman shares some insight and great tips for working with Entity Framework in Docker. You will see thing tips for working with the SQL Server Docker image, using environment variables for passports, using the Docker tools for Visual Studio and so much more!

Useful Links

With Azure ML Pipelines, all the steps involved in the data scientist’s lifecycle can be stitched together in a single pipeline improving inner-loop agility, collaboration, and reuse of data and code, while maintaining high reliability.

This video explores Azure Machine Learning Pipelines, the end-to-end job orchestrator optimized for machine learning workloads.

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Professor Andrea Morello, Professor of Quantum Engineering at University of New South Wales, takes us on a journey through the inner workings of a quantum computer.

He gives an accessible introduction to the physical principles that underpin quantum information, and highlights the differences and similarities between classical and quantum processors.

Professor Andrea Morello, Professor of Quantum Engineering at University of New South Wales, takes us on a journey through the inner workings of a quantum computer. He gives an accessible introduction to the physical principles that underpin quantum information, and highlights the differences and similarities between classical and quantum processors.