Soon you could be chatting with your computer about the morning news. An AI has learned to read and answer questions about a news article with unprecedented accuracy. Creating AI systems that can learn in the background from humanity's existing stores of information is one of the big goals of computer science. "Computers don't have the kind of general knowledge and common sense of how the world works [from reading] about things in novels or watch[ing] sitcoms," says Chris Manning at Stanford University. To get a step closer to this, last year, Google's DeepMind team used articles from the Daily Mail website and CNN to help train an algorithm to read and understand a short story.

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

Consider a toddler navigating her day, bombarded by a kaleidoscope of experiences. How does her mind discover what's normal happenstance and begin building a model of the world? How does she recognize unusual events and incorporate them into her worldview? How does she understand new concepts, often from just a single example?

Some of the world's fastest computers employ Nvidia's graphics processor for computer vision, deep learning and scientific calculations, and a new GPU will supercharge these applications. The Tesla P100 that plugs into the PCI-Express slots of supercomputers will speed up tasks like economic forecasting and weather modeling. The GPU is also targeted at servers, and will play a big role in helping self-driving cars, robots and drones identify objects. Further reading: Nvidia's beastly Pascal GPU is packed with cutting-edge tech and 15 billion transistors Deep-learning systems with the GPUs in data centers will improve cloud-based image recognition, classification, natural language processing and speech recognition. One system with Tesla P100 chips is Nvidia's DGX-1, which can be purchased for 129,000.

Consumers want a more interesting relationship with the brands they use, and think highly of virtual techniques promised by evolving technologies – especially on the more personal mobile level – says a report from the DMA. According to the study, half (48%) of respondents expressed an interest in artificial intelligence (AI) approaches to engagement, such as chatbots or virtual assistants. But this increased dramatically for younger age groups, rising to 79% for 16-24 year olds, 76% for those aged 25-34 and 62% of those aged 35-44. More than half (54%) of Gen Y/Millennial age groups (28% of the total sample) are interested in a service that detected how they were feeling and sent them surprise offers/deals based on their mood. "Current engagement methods often seem clumsy, like'brand stalking', where items follow a consumer around on web banners. Instead, consumer data could be used in virtual or artificial intelligence systems. One example could be chatbots, giving brands a better way to use their data and consumers a more meaningful interaction," said Rachel Aldighieri, DMA MD.

HPE Haven OnDemand is a platform for building data-rich applications and analytics using text analysis, speech recognition, image analysis, indexing and search APIs. Simply put, developers and businesses use the Haven OnDemand APIs to add advanced capabilities such as natural language processing, machine learning, and predictive analytics to their applications. This talk will focus on HPE Haven OnDemand platform's capabilities of human information analytics and building advanced unstructured text indexes. Includes a live demo of our Rich Media App that was recently featured by Gregory Piatetsky, a top influencer in Big Data and Data Science, on his blog, KDNuggets. You'll walk away with a better understanding of our platform offerings, how to set up a Haven OnDemand account to try our APIs and how to build your own rich media app to: Phong Vu is a Developer Evangelist for Haven OnDemand at Hewlett Packard Enterprise.

I said, and I wrote, that machine learning and predictive analytics were almost the same. Of course, I also put optimization as the queen of all analytics technologies as it yields best business value. What else would you expect from someone who spent nearly 3 decades in working in optimization? No wonder this view became popular in the optimization community... First, let me reassure readers about my mental health: I still think that optimization is best for computing optimal decisions. I started thinking there was an issue when I met customers willing to use machine learning to solve all the business problems they have.

We are using intelligent machines for everything from self-driving cars to online searches. But how about leveraging artificial intelligence, or AI, to save lives? "A momentous change in health care is under way," says Suchi Saria, an associate professor in computational biology at Johns Hopkins, with startups harnessing the recent explosion of electronic health data to help doctors make critical decisions and extend care to patients between appointments. Here are five ways that machine learning is poised to bring new rigor to medicine. Developing pharmaceuticals can take decades.

By releasing Haven-on-Demand APIs on Microsoft Azure, HPE is following in the footsteps of IBM. Big Blue made its Watson API's available on BlueMix a while ago. Furthermore, it recently announced a collaboration with Twilio, a cloud communications platform for developers, as part of which it introduced two new offerings: IBM Watson Message Sentiment and IBM Watson Message Insights, pre-integrated with Twilio's APIs. This signaled IBM's willingness to make Watson APIs accessible to a wider community of developers, beyond BlueMix. This is also what HPE is doing by making Haven-on-Demand available on Microsoft Azure.

Tekstum provides real-time scientific analysis of the opinions and feelings that readers are expressing online. Using a state-of-the-art algorithm built with big data and artificial intelligence, the company promises to revolutionise how publishers market, and how customers search for and buy books, by synthesising, analysing and visualising readers' moment-to-moment emotions and experiences. Spanish founder and CEO Marc Santandreu worked for international publishing companies such as Author Solutions and Regió7. Lauren Romeo (PhD in Computational Linguistics) is the Lead Scientist, pioneering the Natural Language Processing research and development of the engine, while Juanjo Fernandez is the engineer responsible for the development of the software. Every year the number of new books in the market grows exponentially, generating huge amounts of data at ever-faster rates.