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

Soulless computer algorithms are already churning out weather bulletins, sports reports, rap lyrics and even passable Chinese poetry. But it seems machines have now taken another step towards replacing human enterprise by generating their own reviews of serious academic journal papers that are able to impress even experienced academics. Using automatic text generation software, computer scientists at Italy's University of Trieste created a series of fake peer reviews of genuine journal papers and asked academics of different levels of seniority to say whether they agreed with their recommendations to accept for publication or not. In a quarter of cases, academics said they agreed with the fake review's conclusions, even though they were entirely made up of computer-generated gobbledegook – or, rather, sentences picked at random from a selection of peer reviews taken from subjects as diverse as brain science, ecology and ornithology. "Sentences like'it would be good if you can also talk about the importance of establishing some good shared benchmarks' or'it would be useful to identify key assumptions in the modelling' are probably well suited to almost any review," explained Eric Medvet, assistant professor at Trieste's department of engineering and architecture, who conducted the experiment with colleagues at his university's Machine Learning Lab.

As enterprise enters further into the digital age, data has become the strategic asset that knowledge workers, small or large, rely on to guide their decisions. However, managing such large volumes of data has exposed some unprecedented challenges for the enterprises. Enterprises have learned that the data that they hold, comes in a variety of formats, resides in different and distributed systems and is specific to the organization and its domain. Setting these challenges as the backdrop, IBM's Watson division has built solutions that not only allow for data connectivity but also the analysis of unstructured data and its customization to an enterprise domain. IBM Watson Explorer is Watson's flagship product for text analytics and discovery.

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This is the first question that I hear every Thursday morning. It doesn't come from any of my co-workers. It comes from standup-bot, our friendly digital task-master that we built using Slack's Howdy. We use the bot to collect weekly status reports on product development and billable work. It saves us time when compared to traditional update meetings.

You've trained a classifier and it's performing well on the validation set – but does the model exhibit sound judgement or is it making decisions based on spurious criteria? Can we trust the model in the real world? And can we trust a prediction (classification) it makes well enough to act on it? Can we explain why the model made the decision it did, even if the inner workings of the model are not easily understandable by humans? These are the questions that Ribeiro et al. pose in this paper, and they answer them by building LIME – an algorithm to explain the predictions of any classifier, and SP-LIME, a method for building trust in the predictions of a model overall.

Microsoft is also teaming with the Knight Cancer Institute on AI that would personalize those drug mixes on a patient-by-patient basis. They're primarily focused on acute myeloid leukemia, where you might end up battling multiple leukemias at once -- machine learning could identify just what you're dealing with and treat it accordingly. Another effort would lean heavily on computer vision to understand how a tumor is reacting to treatments. Human doctors can easily identify tumors, Microsoft notes, but they can't always tell how tumors are changing or how they're affecting the health of nearby cells. The Redmond crew is even more ambitious than that.

To get a more accurate assessment of the opinion of leading researchers in the field, I turned to the Fellows of the American Association for Artificial Intelligence, a group of researchers who are recognized as having made significant, sustained contributions to the field. "In his book, Nick Bostrom has defined Superintelligence as'an intellect that is much smarter than the best human brains in practically every field, including scientific creativity, general wisdom and social skills.' When do you think we will achieve Superintelligence?"

Cooperation is one of the hallmarks of being human. We are extremely social compared to other species. On a regular basis, we all enter into helping others in small but important ways, whether it be letting someone out in traffic or giving a tip for good service. We do this without any guarantee of payback. Donations are made at a small personal cost but with a bigger benefit to the recipient. This form of cooperation, or donation to others, is called indirect reciprocity and helps human society to thrive.

SK Telecom Co., South Korea's top mobile carrier, said Wednesday it has launched a research project on artificial intelligence to better develop its virtual home assistant service. Earlier this month, SK Telecom introduced an advanced voice recognition service that allows users to control home appliances and listen to music using voice commands. The new service is called "NUGU," which means "who" in Korean. SK Telecom said the new service can increase its accuracy of voice recognition, using deep-learning technology. In a statement, SK Telecom said, "Through the application of a cloud-based deep-learning framework, NUGU is designed to evolve by itself. NUGU will be able to strengthen its own performance -- including speech recognition accuracy -- with the growing number of customers who use the service."