Analyzing people’s social behavior with the use of images and videos is one of the most popular tasks for AI. Researchers have achieved a rather high quality in group-level emotion recognition, but until now it remained impossible to implement this development on a mass scale.

The problem was the requirement of most video systems for images containing face close-ups in good resolution. Ordinary cameras installed on the street or in a supermarket have resolutions too low and are mounted so high that the typical facial regions in the gathered videos are too small to work with.

However, this may no longer be the case.

Alexander Tarasov and Andrey Savchenko, researchers from HSE, have developed an algorithm that is comparable with the existing group-level emotion recognition techniques in terms of recognition accuracy (75.5%). At the same time, it requires only 5MB in the system memory, processes one image or video frame in just one hundredth of a second and can be used with low-quality video data.

If there ever was a case for AI, this could be a compelling one: Resume writing. It’s a task many job seekers see as a necessary evil and it seems as  everyone has an opinion about how to carefully craft the perfect document.

A new website can write your résumé for you in just ten seconds — as long as you don’t mind sending employers a document of totally-made-up information and just a touch of gibberish.

Neural networks have become a hot topic over the last few years, but evaluating the most efficient way to build one is still more art than science. In fact, it’s more trial and error than art. However, MIT may have solved that problem.

The NAS (Neural Architecture Search, in this context) algorithm they developed “can directly learn specialized convolutional neural networks (CNNs) for target hardware platforms — when run on a massive image dataset — in only 200 GPU hours,” MIT News reports. This is a massive improvement over the 48,000 hours Google reported taking to develop a state-of-the-art NAS algorithm for image classification. The goal of the researchers is to democratize AI by allowing researchers to experiment with various aspects of CNN design without needing enormous GPU arrays to do the front-end work. If finding state of the art approaches requires 48,000 GPU arrays, precious few people, even at large institutions, will ever have the opportunity to try.

With data storage demands increasing every day, conventional storage will not be enough in the future. Enter DNA-based storage, with its ability to store information on a molecular level, it could revolutionize data storage in the age beyond big data. And researchers have recently came one step closer to making this technology real.

Researchers at Microsoft and the late Microsoft founder Paul Allen’s school of computing science at the University of Washington has built a system of liquids, tubes, syringes, and electronics around a benchtop to deliver the world’s first automated DNA storage device.

Global Azure Bootcamp is a free, one-day, local event that takes place globally. It’s an annual event run by the Azure community.

This year, Global Azure Bootcamp is on Saturday, April 27, 2019. Starting with events in New Zealand and ending in Hawaii, chances are you can find a location near you.

If not, you can also organize a location and receive sponsorship and even free lunch. However, new locations must register new events by Friday, March 29, 2019.

Any education location can join and will get sponsorship, Azure passes, Azure for Students, lunch, and a set of content to use for the day.

Follow #GlobalAzure on social media to connect with the global Azure community.

Follow members of the Global Azure Bootcamp Admin Team:

 

In this video, Jared from Wisecrack explores the philosophy of Billions, a show about the rivalry of a District Attorney and a billionaire hedge fund manager. The plot revolves around (and mentions frequently) Game Theory is study of mathematical models of strategic interaction between rational decision-makers. It figures prominently in reinforcement learning.

A popular TV show referencing a branch of mathematics? What a time to be alive!

John Sheehan, Architect in the Azure IoT team, discusses the impact IoT is having on Azure services and how the new scenarios and challenges IoT presents are addressed in the Microsoft Cloud.

Create a Free Account (Azure): https://aka.ms/aft-iot

Geoffrey Hinton, aka the Godfather of AI, has been instrumental in the AI revolution we are now living in. However, he’s not content just to rest on his laurels and has dream up something new: capsule networks.

Check out this excerpt from an article in the Seattle Times.

With his capsule networks, Hinton aims to finally give machines the same three-dimensional perspective that humans have — allowing them to recognize a coffee cup from any angle after learning what it looks like from only one. This is not something that neural networks can do.