We are looking for a Data Scientist to join our team and help us push our data driven organisation to even higher levels. We are looking for someone with a strong academic and/or business background in machine learning, statistics and programming, and with a keen interest in applying machine learning to real business problems. The Data Scientist will be leading a variety of projects that aim to automate decision making in core business processes. What you'll be doing: Use historical data to build accurate models of KPIs for our performance-based marketing campaigns: customer value, competition, etc. Optimize the targeting and pricing of our SEM campaigns. Use Machine Learning to make our website as effective as possible: e.g. by providing visitors the recommendations that are most relevant to them.

Chicago police use algorithmic systems to predict which people are most likely to be involved in a shooting, but they have proved largely ineffective. This week, the White House published its report on the future of artificial intelligence (AI) -- a product of four workshops held between May and July 2016 in Seattle, Pittsburgh, Washington DC and New York City (see go.nature.com/2dx8rv6). During these events (which we helped to organize), many of the world's leading thinkers from diverse fields discussed how AI will change the way we live. Dozens of presentations revealed the promise of using progress in machine learning and other AI techniques to perform a range of complex tasks in every day life. These ranged from the identification of skin alterations that are indicative of early-stage cancer to the reduction of energy costs for data centres. The workshops also highlighted a major blind spot in thinking about AI.

Artificial intelligence can bring enormous prosperity and opportunity. But in an interview with WIRED Editor-in-Chief Scott Dadich and MIT Media Lab director Joi Ito, the president also worries that AI could suppress wages, eliminate jobs, and create new inequalities. As we build new forms of AI, he says, we must also develop new economic and social models that can ensure these technologies don't leave people behind. "We are going to have to have a societal conversation about how we manage this," President Obama says. "How are we training and ensuring the economy is inclusive if, in fact, we are producing more than ever, but more and more of it is going to a small group at the top? How do we make sure that folks have a living income? And what does this mean in terms of us supporting things like the arts or culture or making sure our veterans are getting cared for? The social compact has to accommodate these new technologies, and our economic models have to accommodate them."

Looking to drum up consumer excitement, the tech company hosted an event in San Francisco on Tuesday to unveil a series of products, including two new phones, a virtual reality headset and the Chromecast Ultra. The flagship announcement was the introduction of Pixel, the first Google phone to carry exclusively Google branding. The company called it the "first phone made by Google inside and out." The device is poised to take on the iPhone with a built-in artificially intelligent assistant, 4K video and other bells and whistles. Here's a closer look at everything you need to know: Google (GOOG) announced a new Pixel line of phones -- the 5-inch Pixel ( 649) and 5.5-inch Pixel XL ( 769).

Google seems to have taken another step forward with their progress in artificial intelligence as their new AI program can now navigate the London Underground system without repetitive feeding of data. Most AI programs can do the same but the difference with the new Google AI agent is that it can learn the ropes in just one try. In addition, the same program also has the capability to answer several questions regarding a family tree. Google DeepMind researchers developed the program without having to pre-program it to know what and how to learn. Once the map of the London Underground subway was given, it took care of the rest.

This post is aimed at artists and other creative people who are interested in a survey of recent developments in machine learning research that intersect with art and culture. If you've been following ML research recently, you might find some of the experiments interesting but will want to skip most of the explanations. The first AI that left me speechless was a chatbot named MegaHAL. It turns out MegaHAL was basically sleight of hand, picking a single word from your input and using a technique called Markov chains to iteratively guess the most likely words that would precede and follow based on a large corpus of example text (not unlike some Dada word games). But reading these transcripts in high school had a big effect on how I saw computers, and my interest in AI even affected where I applied to college.

If the movies have taught us anything, artificial intelligence created by the government bad. The Obama administration is aware of those concerns, which is why a new report questions how government-backed AI could impact society and public policy. It calls for long-term investments in AI research, as well as investigations into the ethics and security implications of the technology. "Advances in AI technology hold incredible potential to help America stay on the cutting edge of innovation," the White House said in a blog post. At Walter Reed Medical Center, for example, the Department of Veteran Affairs is using AI to better predict medical complications and improve treatment.

Drive.ai is a Silicon Valley startup working on a kit to retrofit your ride If Drive.ai is a success, your first self-driving car might already be parked in the driveway. The Silicon Valley start-up, founded recently by a team of former Stanford University Artificial Intelligence Lab products, is working on a software kit that can be used to retrofit existing vehicles. "We started Drive.ai because we believe there's a real opportunity to make our roads, our commutes, and our families safer," the company announced in a statement on its blog, citing a statistic that more than one million people die each year worldwide in automobile accidents caused by human error. At its foundation, Drive.ai is looking to use deep learning -- which its founders consider the most effective form of artificial intelligence ever developed -- to key a breakthrough in a field that giant companies such as Google and General Motors have been trying to master for years. "Unlike other forms of AI, which involve programming many sets of rules, a deep learning algorithm learns more like a human brain. You provide examples, tagged and labeled by an expert, and the system starts to learn for itself -- creating its own rules."

IBM Corp.'s Watson technology defeated two Jeopardy champions in a famous man-against-machine TV showdown in 2011, and now IBM is counting on Watson to help its U.S. employees fight cancer. IBM, developer of Watson, a supercomputer that combines artificial intelligence and advanced analytical software in a format that turns a computer into a "question and answer" machine, announced that as a new benefit for its U.S. workforce certain employees with cancer or undergoing a diagnosis for cancer will have access to Watson for insight into better types of treatment. IBM's cancers-stricken U.S. employees will have access to Watson and an oncology collaboration with Best Doctors, which provides diagnosis and treatment plan reviews using a network of physician specialists, beginning in January. The IBM benefit uses the artificial intelligence capability of Watson to provide employees and their doctors with evidence-based treatment recommendations related to breast, lung, colorectal and gastric cancers, IBM says. With the patient's permission, Best Doctors will collect medical records and feed relevant data into Watson, IBM says.

The oncoming storm of Artificial Intelligence as popularized by sci-fi films and to some extent over-inflated expectations of machines that can learn to mimic humans has created an early worry of its impact on jobs, society and us in general. The announcement of a UK commission to look at ethical, legal and societal impact needs to be unpacked in terms of what the state of current A.I. is today and what is causing this early alarm bell to be taken seriously. Why are we raging against the machine? This is perhaps in two areas, the level of sensors and data collection is now rapidly increasing from mobile phones, security cameras to devices in the home like Amazon Echo and Google Home starting to record huge amounts of data about our behavior and choices. On one level this is a concern for privacy and identity that machine algorithms are in use already that analyze this sea of data and can start to manipulate and influence our outcomes and expectations. This is part of the source of the commission focus.