Will Kwan was told he wasn’t beautiful enough to be an Instagram model so he used a generative adversarial network to generate some beautiful Instagram people to pose for me.

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Can A.I. make music? Can it feel excitement and fear? Is it alive? Will.i.am and Mark Sagar push the limits of what a machine can do. How far is too far, and how much further can we go?

The Age of A.I. is a 8 part documentary series hosted by Robert Downey Jr. covering the ways Artificial Intelligence, Machine Learning and Neural Networks will change the world.

FRONTLINE PBS | Official has created a  documentary exploring how artificial intelligence is changing life as we know it — from jobs to privacy to a growing rivalry between the U.S. and China.

FRONTLINE investigates the promise and perils of AI and automation, tracing a new industrial revolution that will reshape and disrupt our world, and allow the emergence of a surveillance society.

Not that long ago, Machine Learning was something you did on specialized high performance hardware with specialized languages.

The thought that this could be done in Javascript inside a browser would have been laughable.

Well, laugh no more.

Running Machine Learning applications on the web browser is one of the hottest trends in software development right now. Many notable machine learning projects are being built with Tensorflow.js. It is one of the most popular frameworks for building performant machine learning applications that run smoothly in a web browser.

Microsoft Research has a new podcast out talking about learning algorithms.

Deep learning methodologies like supervised learning have been very successful in training machines to make predictions about the world. But because they’re so dependent upon large amounts of human-annotated data, they’ve been difficult to scale. Dr. Phil Bachman, a researcher at MSR Montreal, would like to change that, and he’s working to train machines to collect, sort and label their own data, so people don’t have to.

Today, Dr. Bachman gives us an overview of the machine learning landscape and tells us why it’s been so difficult to sort through noise and get to useful information. He also talks about his ongoing work on Deep InfoMax, a novel approach to self-supervised learning, and reveals what a conversation about ML classification problems has to do with Harrison Ford’s face.

Microsoft for Startups shares this highlight reel from the Spring MLADS conference.

In case you’re not familiar with MLADS, check out Data Driven’s coverage of the most recent one.

Twice a year, Microsoft assembles over 4,000 of our top data scientists and engineers for a two day internal conference to explore the state of the art around machine learning and data science.

Earlier this year, 30 leading startups who are active in the Microsoft for Startups program came to showcase their solutions and engage directly with the engineering teams.

Microsoft Research marks its 100th episode with with Gurdeep Pall and Dr. Ashish Kapoor talking about autonomous systems.

There’s a lot of excitement around self-driving cars, delivery drones, and other intelligent, autonomous systems, but before they can be deployed at scale, they need to be both reliable and safe. That’s why Gurdeep Pall, CVP of Business AI at Microsoft, and Dr. Ashish Kapoor, who leads research in Aerial Informatics and Robotics, are using a simulated environment called AirSim to reduce the time, cost and risk of the testing necessary to get autonomous agents ready for the open world. 

See more on this and other Microsoft Research podcast episodes:
https://www.microsoft.com/en-us/research/blog/category/podcast/