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Much has been said about artificial intelligence (AI) and machine learning, which learn from their interactions so that they can work better in the future. But a number of incidents have pointed out how easy it is for AI systems to go astray, either by accident or because people deliberately set out to corrupt them. That computer programs respond based on the data they're given isn't new; "Garbage in, garbage out" dates back to the 1950s. As computers and software grow increasingly sophisticated in the data sources they accept and the responses they can provide, however, it's not always as easy to detect what might be "garbage." One of the oldest examples of such manipulated AI systems is the "Google bomb," where people created a particular catchphrase, associated it with something else, and posted the connection around the Internet.

Google has announced a deal to acquire Moodstock, a French startup that builds technology which helps smartphone devices recognize images and objects. The acquisition is aimed at boosting AI development of Google. Moodstock's work in computer vision and machine learning and its technology behind smartphones being able to recognize images and objects was the reason behind Google's interest. Google is among Silicon Valley titans investing in ways to get computers to see and understand the world around them the way people do. Machine learning has been woven into an array of Google offerings, such as its free language translation and photo services.

TechCrunch: "You'll soon be coming home and a robot will greet you at the door." VentureBeat: "Read to kids, host video chats, take pictures, recognize faces and objects, connect to smart home devices, and secure the home by roaming around and video taping everything." Not just recognising your face, it knows your mood. Not just understanding what you say, it knows what you really mean. It learns and gets smarter every day."

The devastating neurodegenerative condition Alzheimer's disease is incurable, but with early detection, patients can seek treatments to slow the disease's progression, before some major symptoms appear. Now, by applying artificial intelligence algorithms to MRI brain scans, researchers have developed a way to automatically distinguish between patients with Alzheimer's and two early forms of dementia that can be precursors to the memory-robbing disease. The researchers, from the VU University Medical Center in Amsterdam, suggest the approach could eventually allow automated screening and assisted diagnosis of various forms of dementia, particularly in centers that lack experienced neuroradiologists. Additionally, the results, published online July 6 in the journal Radiology, show that the new system was able to classify the form of dementia that patients were suffering from, using previously unseen scans, with up to 90 percent accuracy. "The potential is the possibility of screening with these techniques so people at risk can be intercepted before the disease becomes apparent," said Alle Meije Wink, a senior investigator in the center's radiology and nuclear medicine department. "I think very few patients at the moment will trust an outcome predicted by a machine," Wink told Live Science.

Artificial Intelligence (AI) and robotics are both very popular topics in the media today, which comes as no surprise. Recent developments in AI and robotic technology have encouraged an increase in adoption of automation tools rates across the world. With all this coverage, it's common to hear myths and hyperbolic statements about how this new technology will impact our lives and careers. So in order to help you keep the facts straight, here are some of the most common myths about robotics and automation that we've heard recently. This seems to be a recurring headline in the newspapers.

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.