AI was very popular 30 years ago, then disappeared, and is now making a big come back because of new robotic technologies: driver-less cars, automated diagnostic, IoT (including vacuum cleaning and other household robots), automated companies with zero employee, soldier robots, and much more. Will AI replace data scientists? I think so, though data scientists will be initially replaced by "low intelligence" yet extremely stable and robust systems. There has been a lot of discussions about the automated statistician. I am myself developing data science techniques such as Jackknife regression that are simple, robust, suitable for black-box, machine-to-machine communications or other automated use, and easy to understand and pilot by the layman, just like a Google driver-less car can be "driven" by an 8 years old kid.

In what they called a milestone achievement for artificial intelligence, scientists said on Wednesday they have created a computer program that beat a professional human player at the complex board game called Go, which originated in ancient China. The feat recalled IBM supercomputer Deep Blue's 1997 match victory over chess world champion Garry Kasparov. But Go, a strategy board game most popular in places like China, South Korea and Japan, is vastly more complicated than chess. "Go is considered to be the pinnacle of game AI research," said artificial intelligence researcher Demis Hassabis of Google DeepMind, the British company that developed the AlphaGo program. "It's been the grand challenge, or holy grail if you like, of AI since Deep Blue beat Kasparov at chess."

We often get questions about whether to use Python or R – and we've come to a conclusion thanks to insight from our community of mentors and learners. Data science is the sexiest job of the 21st century. Data scientists around the world are presented with exciting problems to solve. Within the complex questions they have to ask, a growing mountain of data rests a set of insights that can change entire industries. In order to get there, data scientists often rely on programming languages and tools. Some of the biggest names in tech are coming to TNW Conference in Amsterdam this May.

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

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

We often get questions about whether to use Python or R – and we've come to a conclusion thanks to insight from our community of mentors and learners. Data science is the sexiest job of the 21st century. Data scientists around the world are presented with exciting problems to solve. Within the complex questions they have to ask, a growing mountain of data rests a set of insights that can change entire industries. In order to get there, data scientists often rely on programming languages and tools.

In this series, professionals provide advice for the next U.S. president. What do you want POTUS focused on? Over fifty years ago, in March 1964, a document known as the "Triple Revolution Report" landed on the desk of your predecessor, Lyndon Johnson. That report, written by a prominent group of intellectuals that included two Nobel laureates, argued that the United States was on the brink of dramatic social and economic disruption as rapidly advancing industrial automation technology was poised to throw millions out of work. Needless to say, that dire prediction did not come to pass.

Microsoft Corp. Chief Executive Officer Satya Nadella said his company is committed to playing a key role in the emerging market for artificial intelligence-based chat software, one week after the company's first Internet chat bot in the U.S. was so manipulated by users that it had to be pulled down within a day of its introduction. "It's a simple concept yet it's very powerful in its impact it is about taking the power of human language and applying it more pervasively in all our computing," Nadella said about the strategy the company has dubbed conversation as a platform. The CEO was speaking Wednesday at the company's Build conference for software developers in San Francisco. Later, in a keynote speech, Nadella will outline the company's strategy for conversation-based products working with bots, which are pieces of software that use artificial intelligence to automate or accomplish tasks, as well as tools for developers to create their own. Nadella has been trying to expand Microsoft's reach and influence in AI, emphasizing how the technology can augment products in the mobile and cloud-computing markets.

It represents a particular pure quantum state of a specific isolated system of one or more particles. By choosing a specific system of coordinates, e.g.

SAN MATEO, CA--(Marketwired - Mar 30, 2016) - EverString, the fastest-growing predictive marketing SaaS company, today announced that its artificial intelligence-powered platform is now integrated with Microsoft Dynamics CRM Online. The new integration empowers users to optimize the prospect-to-customer journey by enabling sales and marketing teams to prioritize existing prospects and also identify net new, high-quality leads using the power of predictive marketing. "Predictive Marketing is quickly becoming an integral piece of an intelligent customer engagement solution and we are excited to offer this powerful technology through our partnership with EverString," said Jujhar Singh, general manager, Microsoft Dynamics CRM. "With EverString's predictive marketing technology, Microsoft Dynamics CRM Online customers can improve sales outcomes not only by prioritizing prospect conversations but also by filling their pipeline with high-value accounts." Delivered as a SaaS platform, the EverString integration provides marketers with the ability to analyze and validate their entire addressable market of prospects, then proactively select and target the optimal audience based on data from their Microsoft Dynamics CRM Online and more than 20,000 external signals. EverString's predictive marketing technology leverages applied data science, machine learning and artificial intelligence to find and analyze patterns in the pipeline of all prospects and customers existing in a user's instance of Microsoft Dynamics CRM Online.