Heading into the New Year, many digital marketers and analysts predicted that we would see some of the biggest changes in digital marketing yet. So, how have things shaken out so far? I turned to Brian Solis of Altimeter Group, Joe Pulizzi of Content Marketing Institute, and Adam Berke of AdRoll to find out. As of now, the most common use of artificial intelligence in marketing has been in the form of machine learning. Programmatic buying arose as one of the most prevalent uses of machine learning a few years ago, and other uses of AI include predictive customer service, recommendations, and content curation.

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

For anyone who cares about Internet security and encryption, the advent of practical quantum computing looms like the Y2K bug in the 1990s, a countdown to an unpredictable event that might just break everything. The concern: hackers and intelligence agencies could use advanced quantum attacks to crack current encryption techniques and learn, well, anything they want. Now Google is starting the slow, hard work of preparing for that future, beginning with a web browser designed to keep your secrets even when they're attacked by a quantum computer more powerful than any the world has seen. The search giant today revealed that it's been rolling out a new form of encryption in its Chrome browser that's designed to resist not just existing crypto-cracking methods, but also attacks that might take advantage of a future quantum computer that accelerates codebreaking techniques untold gajillions of times over. For now, it's only testing that new so-called "post-quantum" crypto in some single digit percentage of Chrome desktop installations, which will be updated so that they use the new encryption protocol when they connect to some Google services.

Darktrace, a cybersecurity startup that uses machine learning to detect threats, announced Wednesday that it had raised 65 million to continue with its plans for global expansion. The company's software helps IT leaders see emerging threats on computer networks in real time. The company was founded in 2013, and has grown rapidly. At last count, Darktrace boasted 300 employees and more than 1,000 deployments of its Enterprise Immune System technology. What's more interesting, perhaps, is how it works.

The traditional definition of artificial intelligence is the ability of machines to execute tasks and solve problems in ways normally attributed to humans. Some tasks that we consider simple--recognizing an object in a photo, driving a car--are incredibly complex for AI. Machines can surpass us when it comes to things like playing chess, but those machines are limited by the manual nature of their programming; a 30 gadget can beat us at a board game, but it can't do--or learn to do--anything else. This is where machine learning comes in. Show millions of cat photos to a machine, and it will hone its algorithms to improve at recognizing pictures of cats.

Machine learning has advanced to the point where it more or less goes hand-in-hand with Big Data. Indeed, so popular is the technology that over a third of developers – some 36 percent – who're working on Big Data or advanced analytics projects use elements of machine learning, says a new study by Evans Data Corp. What with more Big Data being generated from sources like audio, the Internet of Things, social media, wearables and video, enterprises need more efficient ways to handle and process it to drive new business insights. Machine learning involves creating and improving complex algorithms that are able to analyze data automatically and identify patterns or predict outcomes based on the knowledge they have "learned". As such, it has great potential for helping companies to better understand what their data is telling them.

Use features and descriptors to track the car from the first frame as it moves from frame to frame. Store (ORB) descriptors in a Mat and match the features with those of the reference image as the video plays. Then multiply points by a homography matrix to create a bounding box around the identified object. The result isn't perfect, but try different filtering techniques and apply optical flow to improve on the sample implementation. Getting good at computer vision requires both parameter-tweaking and experimentation.

Artificial Intelligence (AI) is really big right now. Big news and big possibilities, but some big questions too, not least about how to get the best out of it. Could it really eliminate whole categories of jobs, as research by Oxford University suggests?[1] Or could it help make all of us smarter, more efficient, and more fulfilled in our work by doing the essential but repetitive tasks, and mundane activities that human beings do not excel at? Transformation is an overused word in the business world, but this is one case where it's justified.

Future historians of technology may look back at one week this March as a tipping point of a new era, and it all started with smooth black-and-white stones on a simple wooden board. It was a five-game match of Go, the ancient Chinese board game, pitting top-ranked world champion Lee Se-dol against an artificial intelligence system called AlphaGo from Google's DeepMind. Although Lee confidently predicted a shutout victory over AlphaGo, the system beat him a resounding 4-1. Games were live-streamed around the world, with a monumental ending reminiscent of Garry Kasparov's 1997 defeat against Deep Blue. But this AI victory goes far beyond the basic mathematical win that Deep Blue achieved. Among other factors, chess has fewer possible legal moves and a well-defined end state: checkmate.

"As we know, there are known knowns. There are things we know we know," famously explained former Defense Secretary Donald Rumsfeld. "We also know there are known unknowns; that is to say we know there are some things we do not know. But there are also unknown unknowns--the ones we don't know we don't know." Thanks to a technology innovation known as swarm AI the unknown unknown variables in politics and business may be evaporating.