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

KOLKATA, India -- Across a bustling intersection from one of the first dead-letters offices, a pale blue sign beseeches pedestrians to join the future. Several hundred feet separate old, colonial India from the promise of a new, technologically transformed country. An Uber sign urges traffic safety and a gentle nudge for the ride-sharing service, which is wildly popular here. In Kolkata, capital of the Indian state of West Bengal, there are traces of the future amid decaying buildings and staggering poverty. Samsung Electronics and Dell signs mark the entrance to a dilapidated Victorian structure in the heart of the city. Kolkata is India's untold story in tech.

You are likely pretty good at picking things up. Part of the reason that you're pretty good at picking things up is that when you were little, you spent a lot of time trying and failing to pick things up, and learning from your experiences. For roboticists who don't want to wait through the equivalent of an entire robotic childhood, there are ways to streamline the process: at Google Research, they've set up more than a dozen robotic arms and let them work for months on picking up objects that are heavy, light, flat, large, small, rigid, soft, and translucent (although not all at once). We talk to the researchers about how their approach is unique, and why 800,000 grasps (!) is just the beginning. Part of what makes animals so good at grasping things are our eyes, as opposed to just our hands.

Sentiment Analysis (detecting document's polarity, subjectivity and emotional states) is a difficult problem and several times I bumped into unexpected and interesting results. One of the strangest things that I found is that despite the fact that neutral class can improve under specific conditions the classification accuracy, it is often ignored by most researchers.

A lot of the computational plumbing that powers Google owes something to Jeff Dean. He built early versions of the company's Web search and ad systems. And he invented MapReduce, a system for working with big data sets that triggered a major shift across the computing industry. Dean is now laboring to reinvent the inner workings of Google and the wider world all over again. He leads the Google Brain research group, which aims to advance machine learning--the art of making software figure out how to do things for itself instead of being explicitly programmed.

You've probably heard plenty about companies using text analytics to track of their brand on social media, or pull insights from product reviews, but the same software can predict far more serious occurrences than a dissatisfied customer. We've invited Karthik Dinakar, PhD candidate and Reid Hoffman Fellow at MIT, to speak at our Human Language Technology Conference (HLTCon) March 31st to discuss how text analytics can save lives. Karthik will present his research that applies text understanding to five areas--online cyberbullying; online adolescent distress; crisis counseling on text hotlines; ways to model, predict and treat self-harm; and "cardiolinguistics" to model atypical angina in coronary heart disease. For example, natural language processing technology can "read" texts written in social media or on chat helplines and find signals that alert doctors or counselors to a person who is threatened by cyberbullying or in imminent danger of directed self-harm. Similarly, heart attacks in women are often undiagnosed because their description of symptoms may not "present" as a heart attack.

Full-text search, unlike most of the topics in this machine learning series, is a problem that most web developers have encountered at some point in their daily work. A client asks you to put a search field somewhere, and you write some SQL along the lines of WHERE title LIKE %:query%. It's convincing at first, but then a few days later the client calls you and claims that "search is broken!"

How can businesses integrate imperfect machine-learning algorithms into their workflow? With Microsoft's Azure ML and IBM's investment in Watson, making models is easier than ever. Companies no longer need a Google-size R&D budget to make machine learning applicable to their business. The new challenge for businesses is how to integrate an imperfect machine-learning algorithm into their existing workflow. Original Post Bio: Lukas Biewald is the co-founder and CEO of CrowdFlower.

Search marketers turning a blind eye to artificial intelligence might want to take a closer look. On Wednesday Microsoft introduced Tay, "an artificial intelligence chat bot" that could become the customer service host on the next Web site you visit. Her Twitter profile reads: The official account of Tay, Microsoft's A.I. fam from the internet that's got zero chill! At its core, what is a search engine? It's artificial intelligence based on natural language pulling information from across the Web from learnings to provides information back to the person who queries the question.

Most people subconsciously and automatically sort people into two genders. But what happens when a machine is tasked to this? Alyx explores the the human side of artificial intelligence technology, and what it could mean for transgender people. Mirror, mirror, on my screen, which gender does my face seem? There are dozens of facial recognition websites where you upload your selfie and tries to guess your gender, age and mood. This is a form of Artificial Intelligence (AI) machine vision, and it's how the machine on the other end tries to understand who you are.