Baidu's Deep Speech 2 is a cloud-based voice recognition software based on a deep learning neural network. "But we were noticing that in the past two to three years, speech recognition was actually improving a lot, benefiting from big data and deep learning to train its neural networks to produce faster, more accurate results. For English, the speech recognition software was three times faster with a 20.4 percent low error rate. For Mandarin Chinese, the software was 2.8 times faster with a 63.4 percent lower error rate compared to typing.

Earlier this year, we watched a world-renowned Go mastermind get pummeled in a complex game by an artificial intelligence (AI). Now, humans are about to lose in yet another battle with the machines--and this time, it's over typing. There is a speech recognition software that has improved to the point that it is faster and more accurate at producing text than human typists. That's according to researchers from Stanford University and the University of Washington, which ran a study on a new program developed by Chinese internet giant, Baidu. Baidu's Deep Speech 2 is a cloud-based voice recognition software based on a deep learning neural network.

Why can't computers watch the Earth from above and automatically map our roads, buildings, and trash heaps? Satellite operator DigitalGlobe is teaming up with Amazon, the venture arm of the CIA, and chipmaker Nvidia to try to make it happen. In a joint project, DigitalGlobe today released satellite imagery depicting the whole of Rio de Janeiro to a resolution of 50 centimeters. The outlines of 200,000 buildings inside the city's roughly 1,900 square kilometers have been manually marked on the photos. The SpaceNet data set, as it is called, is intended to spark efforts to train machine-learning algorithms to interpret high-resolution satellite photos by themselves.

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display

Companies today are awash in data, but current tools and processes are not enabling them to keep it secure. That's according to Informatica CEO Anil Chakravarthy, whose says his company -- which has traditionally focused on data management and integration -- is embarking on a major push to go further into data security. "You hear about breaches all the time -- just imagine all the ones you're not hearing about," Chakravarthy said in a recent interview. "Data security today is an unsolved problem for customers." Last year, Informatica launched a product called Secure@Source that promises a data-centric approach to information security by helping organizations identify and visualize sensitive data wherever it resides.

LONDON - FEBRUARY 03: (FILE PHOTO) In this photo illustration the facebook logo is reflected in the eye of a girl on February 3, 2008 in London, England. Social networking site'Facebook' reaches it's 5th birthday this month. It was founded in 2004 by Mark Zuckerberg from his dorm room at Harvard University with the aim to help students keep in touch over the internet. Within 24 hours 1,200 Harvard students had signed up. The site now has 150 million active users worldwide. Facebook is opening up its image-recognition artificial intelligence research to the public.

But a machine sees none of this; to a machine, it's just a bunch of pixels. It's up to computer-vision technology like the one developed at FAIR to segment each object out. Considering that real-world objects come in so many shapes and sizes as well as the fact that photos are subject to varying backgrounds and lighting conditions, it's easy to see why visual recognition is so complex. The answer, Dollar writes, lies in deep convolutional neural networks that are "trained rather than designed." The networks essentially learn from millions of annotated examples over time to identify the objects. "The first stage would be to look at different parts of the image that could be interesting," he says. "The second step is to then say, 'OK, that's a sheep,' or'that's a dog.' "Our whole goal is to get at all the pixels, to get at all the information in the image," he says.

There's little that comes off as "natural" in "Natural Selection," a stiffly heavy-handed, drawn-out, faith-based drama about a Christ-like teen struggling to find his true path. Arriving in a new town, soft-spoken Tyler (Mason Dye) and his alcoholic mother ("Bluebloods" regular Amy Carlson) have chosen the proverbial fresh start, but there are telling signs that it won't be a smooth transition. Tyler is immediately targeted by the bullies at his new high school, which, curiously, doesn't appear to have a single character of color among the student body, while his mom is finding it difficult to extricate herself from the throes of depression in the wake of her husband's suicide. He's taken under the manipulative wing of the troubled Indrid (Ryan Munzert), an outsider with a dark soul (how else to explain his non-creationist views?) who chastises Tyler for having too much faith in people. You know from the repeated close-ups of all those guns mounted in the display cabinet at Indrid's home that his profound disenchantment with the universe isn't going to end well, but first-time writer-director Chad Scheifele forcefully prolongs the inevitable.

Facebook's artificial intelligence research team is open sourcing more code, frameworks and research on machine vision and facial recognition. In a blog post, Facebook AI Research, or FAIR, said its latest code on machine vision is being opened up. For Facebook, this technology is critical since its users are sharing and using more visual content. Ultimately, Facebook is hoping to enable image searching without tags or captions. Machine vision hasn't been able to catch up with humans yet, but the gap between the two is closing.

This article originally appeared in the French publication Viuz from an interview held with MediaMath CMO Joanna O'Connell at Cannes Lions. It has been translated into English below. What does MediaMath do and how do you differentiate from your competitors? MediaMath was founded in 2007 and, since the beginning, our goal has been to revolutionise traditional marketing in a mobile and data-driven world. We provide marketers with the best tools to take advantage of this new world.