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

SwiftKey has wrapped up its nearly year-long pilot of a "neural network" keyboard and is bringing it to the Android masses. The company, now a Microsoft subsidiary, says that the new prediction model more closely aligns to the way that humans actually communicate. Several examples on the SwiftKey blog point to how the keyboard attempts to finish off sentences and phrases that are more likely to finish off your sentence in the way that you'd want. For example, SwiftKey will suggest finishing the sentence, "I'll meet you at the..." with "office, hotel, or airport." In the previous model, the choices would be "end, moment, or same."

Artificial intelligence and machine learning are becoming part of the economy in ways we could only imagine a decade ago. From self-driving cars to robots, the rapid growth of AI creates tremendous potential opportunities to increase productivity and economic growth. Panelists at the event discussed how computer scientists design and implement AI as well as how it is being incorporated into diverse fields and applications, including the current FCC spectrum auction, the digital humanities and image recognition. Discussion panel "Artificial Intelligence and Machine Learning 101," from the event "Artificial Intelligence: The Economic and Policy Implications" hosted by the Technology Policy Institute Speakers: Colin Allen, Provost Professor of Cognitive Science and History & Philosophy of Science & Medicine, Indiana University and Chair Professor of Philosophy, Xi'an Jiaotong University, Xi'an, China Kris Hammond, Chief Scientist and co-founder, Narrative Science and Professor of Computer Science, Northwestern University Jenn Wortman Vaughan, Senior Researcher, Microsoft Research, New York City Alex Tabarrok (moderator), Bartley J. Madden Chair in Economics and Professor of Economics, George Mason University

How Grand Theft Auto helps train self-driving cars, emotional intelligence algorithms, and more! Machine Learning is one of the most exciting fields in the world. Every week we discover something new, something amazing, something revolutionary. It's incredible, but it can also be overwhelming. That's why we created This Week in Machine Learning!

It is getting more and more difficult to avoid being touched by machine learning (ML). If you buy products from Amazon, make bids on eBay, or stream the latest episodes of Narco on Netflix, chances are, your experience has been shaped by an ML algorithm that makes informed assumptions on what your preferences are, or predicts what they will be. If you allow Facebook to tag friends in your photographs, you are taking advantage of deep-learning algorithms trained for recognizing human faces, and if you take a series of photographs on your Android device, Google will piece together a storyboard of the highlights of your weekend. It's the same for businesses, even if they don't necessarily realize it. There was a study recently published by natural language analytics provider Narrative Sciences that revealed an interesting dichotomy: only 38 percent of respondents reported using ML, yet 88 percent stated that they used analytic tools that incorporate many of the fruits of ML such as automated predictive analytics, automated written reporting and communications, and voice recognition and response.

We have long relied upon simple image manipulation like blurring and pixelation to obscure sensitive information on the internet, but that may not work for much longer. Researchers from the University of Texas at Austin and Cornell Tech have developed a machine learning system that can identify faces and text in images with alarming accuracy. The researchers trained a neural network with images of faces and text and found it could often correctly identify the images again after they had been obfuscated with three different techniques -- YouTube's proprietary blur tool, standard mosaic pixelation, and the P3 algorithm. For some data sets, the neural network was able to correctly identify the YouTube blurred image with 80 or 90% accuracy.

The idea of computers outsmarting and replacing humans has existed in movies and books for decades. Fortunately, that hasn't happened on a wide scale yet. But what has happened is the recent emergence of artificial intelligence concepts--specifically cognitive computing. These concepts involve advanced technology platforms that can address complex situations that are characterized by ambiguity and uncertainty. Cognitive computing has begun to augment business decisions and power performance right alongside human thought process and traditional analytics.

My Saturday, September 10, 2016 appearance on WGN TV's sister station CLTV discussing the state of artificial intelligence (AI) including jobs, the future and how it effects your life.

MRI scans of patients with radiation necrosis (above) and cancer recurrence (below) are shown in the left column. Close-ups in the center column show the regions are indistinguishable on routine scans. Radiomic descriptors unearth subtle differences showing radiation necrosis, in the upper right panel, has less heterogeneity, shown in blue, compared to cancer recurrence, in the lower right, which has a much higher degree of heterogeneity, shown in red.

Will a computer replace you at work sooner or later? This has increasingly become a concern of knowledge workers who in the past thought they would forever escape the fate of factory and low-level office workers who fell victims to automation. How should knowledge workers cope with the rise of smart machines? "The upside potential of the advancing technology is the promise of augmentation--in which humans and computers combine their strengths to achieve more favorable outcomes than either could do alone," they write. The author of Competing on Analytics (and 16 other books), Davenport is the President's Distinguished Professor of Information Technology and Management at Babson College, the cofounder of the International Institute for Analytics, a Fellow of the MIT Center for Digital Business, and a senior advisor to Deloitte Analytics.