There have been many books and papers written about how robots can evolve into near-human "creatures." From Isaac Asimov's I, Robot and its Three Laws of Robotics through Blade Runner to current AI (artificial intelligence) and space exploration science and science fiction, robots have been a source of expectation and, in some cases, fear. For example, trials of robot delivery services are already being done, but people tend to attack or vandalize them, often because they feel threatened. Now, the evolution of robotics is taking another step. Can robots be taught to recognize human emotions from our movements?

Machine learning and artificial intelligence are integral components of any modern organization's IT stack but these data-harvesting tools can have a dark side if appropriate risk management and planning protocols aren't in place. There's no denying the power and possibilities created by AI and machine learning. With this astounding power to build models designed to improve the efficiency and performance of everything from marketing and supply chain to sales and human resources comes considerable responsibility. A recent McKinsey report sheds some light on how companies in every industry should be wary of assuming that these relatively new and remarkably complex tools will always deliver the desired outcome as they're integrated with other applications and processes. These tools are just like every other tool that's ever existed: they're only as good as the people designing and using them.

Testing in the Third Industrial Revolution: Is AI all that it's cracked up to be for today's testing? This article seeks to make sense of the promise of AI in testing. It returns first to understand the pressure currently placed on testing by iterative software delivery, identifying some core requirements for testing in the "Third Industrial Revolution". It then considers why current testing methodologies currently fail to fulfil these objects. Only then are emerging technology from the world of AI considered. The goal is to identify how current AI technologies might remedy the challenges created by rise in automated test execution, building on the tools and techniques in place today.

In 2017, China announced its goal to become the world leader in AI by 2030. The United States responded by creating the commission to review America's competitive position and to advise Congress on what steps are needed to maintain U.S. leadership. Former Google chief executive Eric Schmidt and Work were chosen from among 15 appointed commissioners to lead the group. The focus of the commission is on AI for national security in both the public and private sectors. But AI-enhanced economic superiority is a national security concern, Work said.

Holiday shopping can be quite stressful. After dealing with traffic, crowded stores and overpriced merchandise you may just want to rest and perhaps have a nice stiff drink. Well if you happen to be shopping in London, you are in luck. London department store Selfridges has installed a robot bartender from Makr Shakr. It will be located at the Smartech store on the lower ground floor and will be serving a wide variety of drinks to stressed-out shoppers.

According to the World Health Organization, 1 billion people on Earth have some form of disability. It's not surprising, then, that Microsoft's AI for Good campaign supports efforts that drive accessibility, empowering people to achieve more, regardless of their level of ability. AI for Good is a $50 million commitment from Microsoft to enable innovators to create solutions that leverage artificial intelligence (AI) technologies. The support includes use of Microsoft's Azure cloud and AI tools. AI can serve as the'brains' behind tools that enhance independence and productivity for people who have disabilities.

There's been growing chatter about artificial intelligence (AI), augmented reality (AR), the Internet of Things (IoT) and adaptive machine learning pushing the envelope of possibility, one phenomenon at a time. With rapid advances in tech, the advent of the IoT, AI, and AR are constantly redefining and expanding'what's humanly possible' to blur existing borders and include efficiencies we didn't know existed. Even as humans continue to carry devices with them (think laptops and mobiles), a growing number of mechanical contraptions are rescuing humans from natural and man-made disasters (think mine-clearing vehicles), and humanoids and other machines are now beginning to travel unattended (think Sophia and self-driving cars). As we move deeper into an'assisted living' paradigm, should we explore a world beyond prosthetics and orthotics? Would you be open to, say, having an IQ-enhancing chip implanted in your brain if such a thing was available in the medical mart tomorrow?

Adapted from You Look Like a Thing and I Love You: How Artificial Intelligence Works and Why It's Making the World a Weirder Place, by Janelle Shane. Suppose you're running security at a cockroach farm. You've got advanced image recognition technology on all the cameras, ready to sound the alarm at the slightest sign of trouble. The day goes uneventfully until, reviewing the logs at the end of your shift, you notice that although the system has recorded zero instances of cockroaches escaping into the staff-only areas, it has recorded seven instances of giraffes. Thinking this a bit odd, perhaps, but not yet alarming, you decide to review the camera footage.

Many advanced artificial intelligence projects say they are working toward building a conscious machine, based on the idea that brain functions merely encode and process multisensory information. The assumption goes, then, that once brain functions are properly understood, it should be possible to program them into a computer. Microsoft recently announced that it would spend US$1 billion on a project to do just that. So far, though, attempts to build supercomputer brains have not even come close. A multi-billion-dollar European project that began in 2013 is now largely understood to have failed.

IRVINE, Calif. and Singapore – Nov. 5, 2019 – Ephesoft, Inc., an industry leader in enterprise content capture and data discovery solutions, today announced its collaboration with Tokio Marine Asia, the regional headquarters of the global insurance group that offers an extensive selection of General and Life insurance products and solutions worldwide. Ephesoft and Tokio Marine Asia, along with Tokio Marine Life Insurance (Thailand), will work together to solve language, data and document challenges that are prevalent throughout Thailand. The collaboration marks the insurance company's focus on expanding its footprint of automation in the fast-burgeoning Thai economy. Improving its approach by automating various manual heavy documentation processes across the insurance space will benefit both their customers and employees. "Ephesoft has a strong commitment to meeting our customers where they are and addressing their unique challenges, regardless of geographic location," said Ike Kavas, founder and CEO at Ephesoft.