Artificial intelligence has risen to prominence this year. In March 2016, Google DeepMind's AlphaGo won 4-1 in the Chinese game of Go, beating the top Go player in the world over the past decade, Lee Sedol. And IBM's Watson correctly diagnosed a Japanese leukaemia patient in ten minutes after doctors had failed to diagnose her condition over several months. Navigating this information requires vastly more sophisticated tools than hitherto available. Large industry players are aware of this and Google, IBM and Microsoft are all investing heavily.

A UK parliamentary committee has appealed the UK government to take action and begin seriously considering "a host of social, ethical and legal questions" that are increasingly pertinent thanks to the rise of artificial intelligence. The science and technology committee started its inquiry in March 2016, visiting Google's DeepMind office, gathering 67 written statements, and interviewing 12 witnesses in person in order to establish the most urgent issues. In its newly published report, the committee has concluded that "while it is too soon to set down sector-wide regulations for this nascent field, it is vital that careful scrutiny of the ethical, legal and societal dimensions of artificially intelligent systems begins now." The biggest reason for this is the need to ensure that the UK is building socially beneficial AI systems, and one of the best ways to make this happen is to start a wider public dialogue on the issue. There are three main issues that the committee flags up as requiring "serious" consideration: minimizing bias being accidentally built into AI systems; ensuring that the decisions they make are transparent; and establishing ways to verify that AI systems are operating as intended and won't behave unpredictably. In these early stages, the committee advises in its report that the government creates a standing Commission on Artificial Intelligence with a broad membership that is able to provide a wide range of expertise.

In an exclusive interview with GeoBuiz, Rogerio Bonifacio, Head, Geospatial Anaysis Unit, UN World Food Program, says that The Future Lies In Machine Learning. The World Food Programme is involved in humanitarian systems. The usage of earth observation data has grown manifold in recent years, with more focus on medium- and low-resolution data streams. Geospatial technologies provides wide spatial coverage required to keep track of hazards. Each agency has separate, but coordinated usage of earth observation data.

Hedge fund managers beware, someone is watching you. Or rather, something is watching you. A new artificial intelligence system can monitor traders, learn their behaviour patterns and raise the alarm when they do something out of character. For example, a trader who has avoided securities for a long time after suffering a loss on them suddenly dives back into a losing position. This triggers an alarm in the monitoring system and sends an alert to the hedge fund's compliance team.

Chatbots help people to learn through messaging. They support learners as tutors to decrease learning risk to discover unknown things. Chatbots lead the learning process and are very adaptive to each person. Probably, these bots will be free and will be available in different countries. Compared with education apps, chatbots are easier in using.

New Zealand is being urged to act now to manage the rapid rise of robotics and artificial intelligence. Within 24 years there is a 50 percent chance artificial intelligence could be smarter than us. Within 60 years, it's almost guaranteed. Now a leading business group and law firm want the Government to set up a working group of leaders from all areas of business and society to tackle the opportunities and challenges AI represents. "AI is an extraordinary challenge for our future.'

Technology giants IBM ibm, Google googl, and seven others have joined hands to launch an open specification that can boost datacenter server performance by up to ten times, to take on Intel intc . The new standard, called Open Coherent Accelerator Processor Interface (OpenCAPI), is an open forum to provide a high bandwidth, low latency open interface design specification. The open interface will help corporate and cloud data centers to speed up big data, machine learning, analytics and other emerging workloads. The consortium plans to make the OpenCAPI specification available to the public before the end of the year and expects servers and related products based on the new standard in the second half of 2017, it said in a statement. Intel, the world's largest chipmaker, is known to protect its server technologies and has chosen to sit out of the new consortium.

In 1996 the Health Insurance Portability and Accountability Act (HIPAA) was enacted. The Accountability portion of the law requires that healthcare providers protect the privacy of patient health information and includes security measures that must be followed. Provider success has been mixed and has recently come under intense scrutiny due to the number and size of reportable breaches of health information.

In the aftermath of the Brexit vote to leave, one of the Tweets that caught my eye was from founder and CEO of analyst firm HfS Research Phil Fersht, which simply said, "At least the British can stop worrying about robots taking their jobs. Just get rid of the jobs altogether…" While that may not be amusing as it plays out against our globalized economy, it demonstrates how this topic has taken hold of so many of us. About a year ago, I was asked to sit on a panel at the annual Constellation Research Connected Enterprise 2015 called "The Robots Are Here! The Future of HR Tech," to debate whether we're entering a dystopian existence where humans are the bottleneck to productivity and innovation or becoming a world of augmented humanity and digital humanization. It's a fact that major economic shifts have led to both marginalization, the downside, as well as great opportunity, clearly the upside.

Computational workloads are growing, and processors, memory, and storage are getting faster at a blazing pace. Emerging technologies could leave computers choking for bandwidth. The potential chokepoint worries companies like Google, IBM, Samsung, and Dell, which are moving to remedy the problem. New specifications from two new consortia will bring data unprecedented boosts in data transfer speeds to computers as early as next year. OpenCAPI Consortium's connector specification will bring significant bandwidth improvements inside computers.