One of the country's biggest law firms has become the first to publicly announce that it has "hired" a robot lawyer to assist with bankruptcy cases. The robot, called ROSS, has been marketed as "the world's first artificially intelligent attorney." ROSS has joined the ranks of law firm BakerHostetler, which employs about 50 human lawyers just in its bankruptcy practice. The AI machine, powered by IBM's Watson technology, will serve as a legal researcher for the firm. It will be responsible for sifting through thousands of legal documents to bolster the firm's cases.

Imagine discovering someone you thought was human is, in fact, a robot. It sounds like the stuff of science fiction. But that's what happened to a class full of Georgia Tech students recently, when they learned that "Jill," their teaching assistant, was actually a piece of software. CBC Radio technology columnist Dan Misener explains what happened. The story starts with a computer science professor named Ashok Goel, who teaches at the Georgia Institute of Technology.

Ross is the world's first AI (artificial intelligence) lawyer robot created to assist a US-based law firm BakerHostetler in it day-to-day legal research. The law firm's Chief Information Officer Bob Craig stated that: "At BakerHostetler, we believe that emerging technologies like cognitive computing and other forms of machine learning can help enhance the services we deliver to our clients." Wondering how Ross was built and what sort of functions does he perform? Let us inform you in detail. Ross was created on IBM's cognitive computer Watson, which enabled the robot to have cognitive computing and natural language processing skills.

The naval base at La Spezia in northern Italy is in an advanced state of decay. The grand Mussolini-era barracks are shuttered; the weeds won their battle with the concrete some time ago. But amid the crumbling masonry, there is an incongruously neat little building, shaded behind a line of flags, with smartly outfitted security men behind its glass doors. This is Nato's Centre for Maritime Research and Experimentation (CMRE). As one battleship after another has been removed from what remains of the Italian navy, and the base is wound down, the centre is preparing for a new kind of marine warfare amid the wreckage of the old. In a line of workshops along the quay, technicians tinker at the innards of the next generation of naval weapons. They may look like large bright yellow torpedoes, but they are in fact underwater drones, capable of being remote controlled on the surface and taking autonomous actions in the deep.

The consumer electronics company has invested in AI startup Cogitai to build intelligent systems that will learn from their own experiences in the world. "We have a shared vision for where AI needs to go," Dr. Satinder Singh, co-founder of Cogitai, told Engadget. "The next wave will be'continual learning.' It's the idea that machine intelligence will continually grow as it interacts with the world." Continual learning isn't just about creating smart devices that sense your presence, or virtual assistants that understand you better.

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

Based on artificial intelligence, Snips can memorize your contacts, calendar and location, conveniently storing them in one place. The app also guarantees to keep all of this personal data private, meaning no one will see it except for you. "We want Snips to be able to answer any question we might have, do anything we ask it to, and automate our connected devices." As more devices become connected, Snips may one day be able to pick up on how users utilize their tech and automate them for convenience.

To make it a bit easier to stay organized, Snips launched a free iOS app on May 17 that is being marketed as a way to "extend your memory." Based on artificial intelligence, Snips can memorize your contacts, calendar and location, conveniently storing them in one place. The app also guarantees to keep all of this personal data private, meaning no one will see it except for you. In the most basic sense, Snips works off of Artificial Memory, which is meant to gain a "deep understanding" of your life. The idea is to give it enough personal data to complete large scale, complex tasks.

This post is authored by Raymond Laghaeian, Senior Program Manager at Microsoft. In this post, we will enable a Google Spreadsheet to call an Azure ML API for real-time predictions. Azure ML provides web service APIs for doing predictions in real-time and batch mode. The APIs can be called from a variety of platform and languages. In this examples, we are using a sample experiment from the Cortana Intelligence Gallery to build the model.

Machine learning is a data analysis approach that automates analytical model building. Using algorithms that iterate based on the data returned to them, machine learning uses software to locate hard to discover information without being explicitly programmed on where to look. This iterative aspect of machine learning allows for independent adaptation. In other words, the computer and its software program'learns' from previous computations and the patterns that is saw to produce reliable, repeatable decisions and results. While machine learning algorithms have been around for a long time, the ability to automatically apply complex mathematical calculations to big data is now affordable enough to be applied in a variety of ways.