Artificial intelligence has taught itself to create its own encryption and produced its own universal'language'. A neural network, called DeepCoder, developed by Microsoft and University of Cambridge computer scientists, has learnt how to write programs without a prior knowledge of code. First reported by the New Scientist, the system works by taking lines of code from existing programs and combining them. The system is only able to produce short, five-line, pieces of code at present but this has been enough to test it against real-world problems used by trainee developers. "We have found several problems in real online programming challenges that can be solved with a program in our language," the research paper says.

With AI in a full-fledged mania, 2017 will be the year of reckoning. Pure hype trends will reveal themselves to have no fundamentals behind them. Paradoxically, 2017 will also be the year of breakout successes from a handful of vertically-oriented AI startups solving full-stack industry problems that require subject matter expertise, unique data, and a product that uses AI to deliver its core value proposition. Over the past year a mania has risen up around'bots.' In the technical community, when we talk about bots, we usually mean software agents which tend to be defined by "four key notions that distinguish agents from arbitrary programs; reaction to the environment, autonomy, goal-orientation and persistence." Enterprises have decided to usurp the term'bot' to be mean'any form of business process automation' and create the term'RPA', robotic process automation.

In advertising and marketing specifically, brands might not be completely overhauling their existing ad tech and martech stacks to make room for AI just yet, but many are getting a feel for it by experimenting with single-touch AI solutions that focus on isolated tasks, like recommendations, ad buying and optimization. The coming wave of AI in marketing will be defined by the automation of complex, multi-step processes -- not just one-off aspects of a larger campaign. For brands, this will mean relinquishing control, trusting the technology to come in and quickly understand processes comprised of numerous tasks, channels, people and procedures, without messing things up. Before handing over the reins, it's helpful to understand how AI works -- and how entire human thought processes are converted into algorithms. For all its complexity, here's a simplified look at seven steps to introducing an AI that can automate holistic digital marketing programs from start to finish.

The AImotive office is in a small converted house at the end of a quiet residential street in sunny Mountain View, spitting distance from Google's headquarters. Outside is a branded Toyota Prius covered in cameras, one of three autonomous cars the Hungarian company is testing in the sleepy neighbourhood. While other autonomous car projects, including those from Waymo and Uber, rely on an expensive (but very useful) radar-like system called Lidar for depth perception and obstacle detection (as well as cameras for seeing the colour of traffic lights and signs), AImotive is trying to do the same using regular cameras combined with artificial intelligence. This means the company can convert a regular car into a driverless one for a fraction of the price – around $6,000 – as opposed to $70,000-$100,000. "The whole traffic system is based on the visual system," explained founder and CEO Laszlo Kishonti. "Drivers don't have bat ears and sonars, you just look around and drive."

There's a great deal of concern over artificial intelligence; what it means for our jobs, whether robots will one day replace us in the workplace, whether it will one day lead to robot wars. But current research projects show that artificial intelligence (AI) can also be used for the greater good. Here are five global problems that machine learning could help us solve. One of the biggest benefits of AI is its ability to trawl through massive amounts of data in record time. This helps researchers pinpoint areas of focus for their own research.

Alfred Bester's classic science fiction novel, The Demolished Man, presents a future society where the Mosaic Multiplex Prosecution Computer -- called "Mose" for short -- has to approve every criminal charge before it can go to trial. He keeps the cops honest. Powell, a telepathic detective, tells the police commissioner, "You know Old Man Mose. He's going to insist on hard fact evidence." Decades later, artificial intelligence really is getting into the legal field.

Hundreds of articles have been written on Artificial Intelligence and how it will have a deep impact on every aspect of our life. Few, however, have been addressing how AI can and will actually keep us healthy. In healthcare there's historically a big focus on curing those who have already been struck by illness. This by itself is quite logical as throughout the history of medicine few tools and resources were available to continuously follow up an individual's health closely and prevent a disease from happening at all. Preventive medicine is nothing new however. Even "The father of medicine", Hippocrates and his followers were very concerned about preserving health through proper diet and activities, such as exercise and getting enough rest.

Barcelona - Feb 27, 2017 - Today at Mobile World Congress, Amdocs (NASDAQ: DOX), a leading provider of software and services to communications and media companies, introduces aia. The platform combines Amdocs' extensive domain expertise in managing business processes with state-of-the-art artificial intelligence (AI) and machine learning capabilities from global partners, including cognitive computing services from the IBM Watson platform. "Imagine a world where your business intuitively understands your customers' needs and automatically adapts to address them, where service providers embrace cognitive learning within their operational strategies, boosting customer experience, dynamically managing the product catalog and optimizing increasingly complex networks," said Gary Miles, chief marketing officer at Amdocs. "aia will make that world a reality." Amdocs is making high-quality data accessible in real time. This data is used by aia to continuously make predictions, automate decisions, and manage conversations directly with customers.

Silicon Valley investor and web pioneer Marc Andreessen said in 2011 that "software is eating the world." The explosion of app ecosystems seems to prove his point, but things have changed dramatically even since then. These days, it might be more accurate to say that "AI is fueling the software that's eating the world," but I've never been very quotable. In any case, it's not impossible to ignore the normalization of artificial intelligence at this year's Mobile World Congress -- even if a resurrected 17-year-old phone did end up stealing the show. When it comes to the intersection of smartphones and AI, Motorola had the most surprising news at the show.

The OpenFog Consortium announces the release of the OpenFog Reference Architecture, a universal technical framework designed to enable the data-intensive requirements of the Internet of Things (IoT), 5G and artificial intelligence (AI) applications. The RA marks a significant first step toward creating the standards necessary to enable high-performance, interoperability and security in complex digital transactions. Fog computing is the system-level architecture that brings computing, storage, control, and networking functions closer to the data-producing sources along the cloud-to-thing continuum. Applicable across industry sectors, fog computing effectively addresses issues related to security, cognition, agility, latency and efficiency. The OpenFog Consortium was founded over one year ago to accelerate adoption of fog computing through an open, interoperable architecture.