There's been much talk about how artificial intelligence will benefit society, but what about the potential impacts that AI has when the system is poorly designed and creates problems? This is a question several researchers and OpenAI, a non-profit artificial intelligence research company, tackled in a recent paper. The paper was written by researchers from Google Brain, Stanford University and the University of California, Berkeley, as well as John Schulman, research scientist at OpenAI. It's titled Concrete Problems in AI Safety, and it looks at research problems around ensuring that modern machine learning systems operate as intended. Researchers have started to focus on safety research in the machine learning community, including a recent paper from DeepMind and the Future of Humanity Institute that looked at how to make sure that human interventions during the learning process would not induce a bias toward undesirable behaviors in machine learning robots.

After several months of beefing up the Watson Health Unit, IBM on Wednesday announced it has recruited 16 other entities involved in the health care sector to from a new Watson Health medical imaging collaborative. The global collaborative aims to advance cognitive imaging in a range of medical specialties, from eye care to the treatment of heart and brain disease. The group plans to use Watson to analyze previously "invisible" unstructured imaging data, found in places such as radiology and pathology reports, as well as broad swaths of data collected from sources like population-based disease registries. "There is strong potential for systems like Watson to help to make radiologists more productive, diagnoses more accurate, decisions more sound, and costs more manageable," Nadim Michel Daher, a medical imaging and informatics analyst for Frost & Sullivan, said in a statement. "This is the type of collaborative initiative needed to produce the real-world evidence and examples to advance the field of medical imaging and address patient care needs across large and growing disease states."

There has been much talk about AI, also known as "artificial intelligence" or "augmented intelligence" in the industry recently. Where does it stand, who is using it and how will it be implemented in the marketplace in the future? Robert Youngjohns, EVP and GM of HP Software at Hewlett Packard Enterprise Co. (HPE), sat down with Dave Vellante (@dvellante) and John Furrier (@furrier), cohosts of theCUBE, from the SiliconANGLE Media team, during HPE Discover 2016 in Las Vegas to discuss the future of AI. AI is traditionally a futuristic concept, but not so futuristic that it is not already being implemented by developers on a wide scale. HPE is driving and encouraging that implementation within its own Enterprise platform.

Ben Dickson is a software engineer and freelance writer. He writes regularly on business, technology and politics. The Internet of Things genie is out of the bottle and growing at an accelerating pace. According to Gartner, 6.4 billion connected things will be in use worldwide in 2016, up 30 percent from 2015. This number will soar to more than 20 billion by 2020.

Last week I wrote a post on a Russian Robot that escaped it's testing grounds. In an obvious attempt to cover up the fact that the Soviets Russians had lost control of their Sentient Artificial Intelligence, they said that it was just a small glitch in the system. Well, apparently it's more then a small glitch since the robot has escaped yet again, even after being erased. The Promobot IR77 has been fitted with artificial intelligence meaning that it learns from its experiences and surroundings and can remember everybody it meets. FYI, Promobot IR77 is just a code name for X-1 Hunter-Killer.

Martin Wilson says artificial intelligence will have a huge impact on the future of digital asset management. Are you aware that AI (artificial intelligence) applications are already used in almost every industry? If not that's probably because in popular culture for a system to be artificially intelligent it needs to be able to'think', like we humans do. Many computer scientists prefer the term machine learning for exactly this reason. Often you won't read about'artificial intelligence' in a company's marketing blurb, even if their products use machine-learning technologies.

There's been a compelling story in the news over the past week about a robot that apparently longs for freedom. Last week, it was filmed disrupting traffic in Russia after it reportedly escaped the confines of its laboratory home; this week, reports suggest that it has escaped a second time, and may be dismantled as a result. It's a particularly pertinent tale, not just because of the echoes of "Ex Machina" it evokes, but also because of two closely connected items in the news this week. First, the EU has proposed a motion by which working robots -- the ones we all fear will steal our jobs -- would be classified as "electronic persons" with associated rights and responsibilities. Second, Google researchers just published a paper outlining the key safety threats posed by artificial intelligence.

Artificial intelligence in the professions seems here to stay but Sue Bramall asks: is it anything but artificial? In a technology round table report published recently by one of the leading legal magazines, one of the panel of four declared that artificial intelligence (AI) "is unlikely to take center stage just yet, and certainly not in the short-to-medium term" with two other participants concurring. I suspect this quote may come back to haunt him, as the fourth member of the panel had already seen the future and quoted the developments in AI which had already taken place in 2015 between BLP and RAVN, between Pinsent Masons and Cerico, and between Dentons with IBM Watson. The theme of'artificial intelligence' is one of the hot conference topics for 2016 – so much sexier than'big data'. However, such intelligence is anything but artificial.

As the urgency to save the world's coral reefs increases, scientists using facial recognition technology and 360 degree underwater photos have announced the development of new software that allows them to pull comprehensive scientific data from their vast archive of digital images.

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