Mobile systems are relying more on cloud-based services that, themselves, are becoming more intelligent. Machine intelligence is now able to learn from experience and objectives. The next decade will be full of major benefits to society. When I was a young graduate student in computer science at Stanford University in 1968 to 1972, I took a class from one of the most famous professors in artificial intelligence at the time, John McCarthy. Our assignments were often to write small programs in LISP, a language most noted for nesting of statements that began and ended with a parenthesis.

Technology that can mine the clinical patient data that already exists is finally available - now is the time to speculate to accumulate. The intersection of technology and health has thrown up almost as many questions as it has solutions. "Innovation through collaboration: Bringing disruption to the patient" was the title of the recent Financial Times Digital Health Summit Europe, which took place in London in June. Speaking at the event was ICON's Chief Information Officer, Tom O'Leary. Since its inception in 1990, ICON has been offering a range of drug development services to the pharmaceutical industry, running clinical trials worldwide across all therapeutic areas, diseases, and indications, on behalf of pharmaceutical, biotechnology, and medical device companies.

There is a need for a new global platform to monitor, consider, and make recommendations about the implications of emerging technologies in general, and AI more specifically, for international security. The doomsday scenarios spun around this theme are so outlandish – like The Matrix, in which human-created artificial intelligence plugs humans into a simulated reality to harvest energy from their bodies – it's difficult to visualize them as serious threats. Meanwhile, artificially intelligent systems continue to develop apace. Self-driving cars are beginning to share our roads; pocket-sized devices respond to our queries and manage our schedules in real-time; algorithms beat us at Go; robots become better at getting up when they fall over. It's obvious how developing these technologies will benefit humanity. But, then – don't all the dystopian sci-fi stories start out this way?

YOKOHAMA – Nissan Motor Co. on Wednesday unveiled its new Serena model minivan featuring self-driving technology. The van, which goes on sale next month, includes some autonomous capabilities that allow it to control steering, gas and brakes on single-lane highways, regardless of traffic conditions, Nissan said. The technology is called Propilot, which monitors road conditions using a 360-degree camera. That information is analyzed by a computer, which then controls the vehicle. Nissan is the first among Japanese automakers to release a vehicle equipped with autonomous driving technology that deals with highway traffic jams, the company said.

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

Machine Learning is a very hot topic these days. Getting started can be fast and easy. In this video post, I walk through the steps to build a simple Universal Windows Application (UWP) that connects to the Microsoft Cognitive Services and the Emotion API. The Microsoft Cognitive Services are a set of APIs that enable your apps to leverage powerful algorithms using just a few lines of code. They work across lots of various devices and platforms such as iOS, Android, and Windows, keep improving and are easy to set up.

Machine learning (ML) is getting a lot of attention at the moment. This is partly because a slew of new companies are emerging which are using it in innovative ways. And partly because it can get easily subsumed into the fuss and furore about AI and the rise of evil robot intelligence. Graph technology, on the other hand, is something which takes more of a back seat and yet, in a lot of ways, also sits at the forefront of the big data and analytics movement. "We firmly believe is that it's at the intersection of machine learning and graph technology where the next evolution lies and where new disruptive companies are emerging," says Ash Damle, Founder and CEO at Lumiata which helps healthcare organisations makes predictions.

Computer-aided algorithms are helping pathologists more efficiently and accurately identify cancer stages to deliver targeted treatment. Jacksonville-based advanced data analytics and machine learning solutions company NLP Logix continues to lead the way in the emerging field of computer vision, receiving recognition as the only United States team to deliver a top-winning solution in an international competition to develop a machine learning model that can help identify and treat cancer cells by stage level. NLP Logix recently earned a top-three finish position in the HER2 Challenge, an academic research competition sponsored by the University of Warwick's Department of Computer Science. More than 100 data science teams worldwide competed in the challenge which asked applicants to create algorithms to automate "scoring" of large-file images of stained slides of breast cancer cells based on the aggressiveness of the cancer. The method is used to detect the presence of the gene for HER2, a transmembrane growth factor receptor which is found in about 20 percent of cases of invasive cancer.

FiveAI is a rather ambitious U.K. startup that's building AI-driven software to help accelerate the development of autonomous vehicles. The young company wants to apply the latest developments in computer vision and AI/machine learning to enable self-driving cars to do more of the heavy-lifting in regards to understanding and navigating their immediate environment. To enable FiveAI to continue building out its autonomous vehicle software stack and grow its team of AI/machine learning and other software engineers, the startup has raised 2.7 million in funding. The round was led by Amadeus Capital Partners with participation from Spring Partners and Notion Capital. Specifically, FiveAI wants to use AI/machine learning and computer vision to remove the need for highly detailed "prior 3D mapping" of environments, which I'm told is the predominant method used in autonomous vehicle navigation.

Artificial intelligence (AI) has made a few spectacular-sounding headlines this year, with various organizations showing off their own digital creation's cognitive capabilities. These tend to relate to "logical" intelligence, dealing with mathematics, rationality, and decision-making. However, just this month, a team of researchers from the National Research Nuclear University Moscow Engineering Physics Institute (NRNU MEPhI) has announced that they are developing an AI that is able to have both narrative and emotional intellect. If this so-called "Virtual Actor" (VA) is able to understand human emotions, it will buck the trend in the types of AIs emerging from other research teams across the world. Google's DeepDream, for example, is a truly surreal convoluted neural network that can "think" of hallucinogenic images.