As part of Google's slew of artificial intelligence announcements today, the company is releasing a number of AI web experiments powered by its cloud services that anyone can go and play with. One -- called Quick, Draw! -- gives you a prompt to draw an image of a written word or phrase in under 20 seconds with your mouse cursor in such a way that a neural network can identify it. Quick, Draw! is a great way to familiarize yourself with how neural networks work to identify objects and text in photos, which is one of the most common forms of AI-guided software techniques we see daily on platform's like Facebook and Google Photos. As you start to craft the doodle, Quick, Draw!'s software automaton will start yelling out words and phrases it thinks you're trying to illustrate. As you get closer to the finished product, the voice starts to become a good indication of how your drawing could be misinterpreted as something else. If you're on point, however, the neural network will hone in on the object and guess correctly.

OpenAI, the nonprofit artificial intelligence research organization co-founded by tech visionaries Elon Musk, Sam Altman, Greg Brockman, and Ilya Sutskever, announced Tuesday that it was partnering with Microsoft to advance its work in AI. As part of the deal, announced via a blog post, Microsoft Azure will act as the primary cloud platform for OpenAI. In the post, Microsoft said that it is "committed to democratizing AI and making it accessible to everyone," and that is a mission that they share with OpenAI. As part of the deal, Microsoft isn't just providing infrastructure, it will also help OpenAI "advance their research and create new tools and technologies that are only possible with the cloud," the post said. The reasoning behind OpenAI's decision to partner with Microsoft, according to the post, is due to Microsoft's focus on deep learning, open source technologies, and the capabilities available in tools such as Azure Batch, Azure Machine Learning, and the Microsoft Cognitive Toolkit.

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For millennia, we surpassed the other intelligent species with which we share our planet--dolphins, porpoises, orangutans, and the like--in almost all skills, bar swimming and tree-climbing. In recent years, though, our species has created new forms of intelligence, able to outperform us in other ways. One of the most famous of these artificial intelligences (AIs) is AlphaGo, developed by Deepmind. In just a few years, it has learned to play the 4,000-year-old strategy game, Go, beating two of the world's strongest players. Other software developed by Deepmind has learned to play classic eight-bit video games, notably Breakout, in which players must use a bat to hit a ball at a wall, knocking bricks out of it.

Sure, you may know that neural networks are spicing up your photos and translating languages, but what if you want a better appreciation of how they function? It just launched an AI Experiments site that puts machine learning to work in a direct (and often entertaining) way. The highlight by far is Giorgio Cam -- put an object in front of your phone or PC camera and the AI will rattle off a quick rhyme based on what it thinks it's seeing. Other experiments are worth checking out, although you may need to compile the code or watch to get a feel for them. Quick, Draw! is effectively AI Pictionary; Infinite Drum Machine gathers sounds by similarity, and lets you sequence them into simple tracks; Bird Sounds uses neural networking to arrange and visualize calls based on their qualities (say, shrill versus melodic).

Today on In Case You Missed It: The National Basketball Association signed a seven-year agreement to use a computer-vision, artificial intelligence system that analyzes on-court action in ways average viewers couldn't spot as they watch. Meanwhile, you may have caught our story last week on the brain implant helping paralyzed monkeys walk; but the latest in brain implants is even more incredible. A "locked-in" ALS patient who is only able to control the movement of her eyes received a brain implant and can now use the power of thought to spell out words on a screen, communicating with her caretakers. If you're interested in backing the Kickstarter project for Food For All, you can find that here. As always, please share any interesting tech or science videos you find by using the #ICYMI hashtag on Twitter for @mskerryd.

For millennia, we surpassed the other intelligent species with which we share our planet -- dolphins, porpoises, orangutans, and the like -- in almost all skills, bar swimming and tree-climbing. In recent years, though, our species has created new forms of intelligence, able to outperform us in other ways. One of the most famous of these artificial intelligences (AIs) is AlphaGo, developed by Deepmind. In just a few years, it has learned to play the 4,000-year-old strategy game, Go, beating two of the world's strongest players. Other software developed by Deepmind has learned to play classic eight-bit video games, notably Breakout, in which players must use a bat to hit a ball at a wall, knocking bricks out of it.

SALT LAKE CITY, UT--(Marketwired - Nov 15, 2016) - At SC16, AMD (NASDAQ: AMD) announced that Radeon GPU technology will be available to Google Cloud Platform users worldwide. Starting in 2017, Google will use AMD's fastest available single-precision dual GPU compute accelerators, Radeon-based AMD FirePro S9300 x2 Server GPUs, to help accelerate Google Compute Engine and Google Cloud Machine Learning services.(1) AMD FirePro S9300 x2 GPUs can handle highly parallel calculations, including complex medical and financial simulations, seismic and subsurface exploration, machine learning, video rendering and transcoding, and scientific analysis. Google Cloud Platform will make the AMD GPU resources available for all their users around the world. "Graphics processors represent the best combination of performance and programmability for existing and emerging big data applications," said Raja Koduri, senior vice president and chief architect, Radeon Technologies Group, AMD.

Which authors of this paper are endorsers? Disable MathJax (What is MathJax?)

Data science and machine learning have long been interests of mine, but now that I'm working on Fuzzy.io I need to keep on top of all the news in both fields. My preferred way to do this is through listening to podcasts. I've listened to a bunch of machine learning and data science podcasts in the last few months, so I thought I'd share my favorites: Every other week, they release a 10–15 minute episode where hosts, Kyle and Linda Polich give a short primer on topics like k-means clustering, natural language processing and decision tree learning, often using analogies related to their pet parrot, Yoshi. This is the only place where you'll learn about k-means clustering via placement of parrot droppings.