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

Today, CircleBack, Inc. announced the launch of 3 APIs based on their artificial intelligence-driven engine, SharedIQ, to revolutionize the state of B2B contact data productivity. Each of the APIs--Email Signature Capture, Contact Append & Company Append--offers enterprise customers the opportunity to build high-accuracy, high-value contact data flow into the hearts of their offerings and bolster the efficiency of the CRM, Marketing Automation Systems, and Account-Based Marketing tools currently on the market. Since the launch of the CircleBack app in early 2015, CircleBack, Inc. has worked to offer businesses the same access to its proprietary AI engine that it offers to over 2 million app users. The CircleBack engine uses artificial intelligence and billions of contact data points to discover, append, and update enterprise contact data. "CircleBack APIs will bring organizations much-needed control of their contact data," explains Manoj Ramnani, CircleBack, Inc. Founder and CEO.

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

Andre van Rüschen has no memory of the day he lost all feeling in his legs. After a car accident in Germany, he had a spinal cord injury that left him paralyzed from the waist down. When he woke up from a coma in a hospital in Hamburg, the doctors told him he would never walk again. But now, thirteen years later, van Rüschen is back on his feet, and he is training to compete as a pilot in the Powered Exoskeleton race at the Cybathlon in Zurich this month. In a high-rise office building on Leipziger Platz in Berlin, he slides out of his wheelchair onto a black leather pouf where a ReWalk exoskeleton sits folded.

In this blog post, we welcome ex-NGDATA collaborator and now university professor Willem Waegeman who reports on a scientific research project he worked on part-time while working with us. NGDATA takes pride in supporting research to advance the field of machine learning. If you want to learn more about our offerings in this area, take a look at our Lab and do not hesitate to contact us. While 2012 has been the year of Big Data technologies, 2013 is becoming the year of Big Data analytics. Gathering and maintaining large collections of data is one thing, but extracting useful information from these collections is even more challenging.

This week on the GoodPractice podcast, the CIPD's David D'Souza joins Owen Ferguson, Jonny Anderson and Ross Garner from GoodPractice to discuss the future of work. Artificial Intelligence is already creeping into our workplace and homes through Google search, smartphones and the new Amazon Echo. But what happens to us when it starts to perform our jobs? Should we embrace AI or fight against it? Will we even need to work in the future? If you'd like to share your thoughts on this episode, you can get in touch with us on Twitter at @dds180, @owenferguson, @biofractal and @RossGarnerGP.

Skip all the talk and go directly to the Github Repo with code and exercises. Reinforcement Learning is one of the fields I'm most excited about. Over the past few years amazing results like learning to play Atari Games from raw pixels and Mastering the Game of Go have gotten a lot of attention, but RL is also widely used in Robotics, Image Processing and Natural Language Processing. Combining Reinforcement Learning and Deep Learning techniques works extremely well. Both fields heavily influence each other.

Although technology seems to be everywhere, we continue to fill in the voids. Existing technologies evolve and change at a higher pace every year, making it challenging for some professionals to adjust.We have reached a point where some are having difficulty coping with game-changing technologies that are presumably contributing to progress. Such progress can be difficult to perceive if you are not directly benefiting from it. In my previous article, I discussed the ability of social robotics to make a positive impact on our society. This article provides an optimistic vision of the opportunity for this technology to include the general public in its development.

You don't want to miss this opportunity in learning practical knowledge in Tech. If you ever wanted to understand the space of Bots or build them yourself, then take my course "How to Build Chat Bots: From Beginner to Expert". I designed it in a practical way so that when you finish the content you can immediately put it into use. Bots are the next big trend according to media journals, silicon valley companies, and web developers. The barrier of entry to build a bot is low enough, but the amount of traction you can get is enormous.

The relentless increase in computing power and the accumulation of big data over the years has sparked intense interest in machine learning and its associated techniques. The new SAS Visual Data Mining and Machine Learning software will feed this need for smarter analytics. Advanced analytics offer insight to businesses, but machine learning and deep learning algorithms take it deeper, revealing insights that were previously out of reach. For example, machine learning use can include facial recognition in security systems, speech recognition in customer service applications, accurate product recommendations in e-commerce, self-driving cars and medical diagnostics. "SAS Visual Data Mining and Machine Learning shatters barriers related to data volume and variety, limited analytical depth and computational bottlenecks. That means greater productivity – and faster, deeper insight," said Hugo D'Ulisse, Head of Analytical Platform, SAS UK & Ireland.