We are assisting a top international company currently building a Machine Learning and Data Scientist team in Dublin source a number of Software Engineers with proven experience implementing and applying Machine Learning techniques and methodologies in a commercial environment. This is a fantastic opportunity for Software Engineers with expertise in Machine Learning and Cognitive Computing technologies join a new operation with huge expansion plans for 2016/17 and beyond. Bachelor's Degree in Computer Science, Engineering or related field Proven experience in service development (REST, API, Microservices) Familiarity (preferably experience) with some or all of the following technologies: IBM Watson, SAS, Amazon ML, Google Cloud ML, Azure ML Studio Ability to create prototypes in SAS, R, Python, Scala, Java, C or similar stack Data retrieval and manipulation experience: SQL, Hive QL, Python, Hadoop, R, Unstructured Data Strong software design and architecture skills with an eye toward avoiding and reducing technical debt Bachelor's Degree in Computer Science, Engineering or related field This is a fantastic opportunity to join a brand new Software Engineering team within a Global company which is focused on developing and implementing Machine Learning solutions for their business.

Professor Stephen Hawking has warned that the creation of powerful artificial intelligence will be "either the best, or the worst thing, ever to happen to humanity", and praised the creation of an academic institute dedicated to researching the future of intelligence as "crucial to the future of our civilisation and our species". Hawking was speaking at the opening of the Leverhulme Centre for the Future of Intelligence (LCFI) at Cambridge University, a multi-disciplinary institute that will attempt to tackle some of the open-ended questions raised by the rapid pace of development in AI research. "We spend a great deal of time studying history," Hawking said, "which, let's face it, is mostly the history of stupidity. So it's a welcome change that people are studying instead the future of intelligence." While the world-renowned physicist has often been cautious about AI, raising the risk that humanity could be the architect of its own destruction if it creates a superintelligence with a will of its own, he was also quick to highlight the positives that AI research can bring.

It's been quite a year, with many wondering if 2016 was simply the worst year ever. Cambridge University professor and physicist Stephen Hawking, however, sees a much darker future ahead. "Although the chance of a disaster to planet Earth in a given year may be quite low, it adds up over time, and becomes a near certainty in the next thousand or ten thousand years," Hawking, who is 73 and has been living with amyotrophic lateral sclerosis (ALS) for more than half a decade, told BBC News in January. "By that time, we should have spread out in space, and to other stars, so a disaster on Earth would not mean the end of the human race." But, he added, until humanity can live somewhere other than this planet, we're walking on eggshells: "We will not establish self-sustaining colonies in space for at least the next hundred years, so we have to be very careful in this period."

In the summer of 1967, Secretary of Defense Robert McNamara commissioned a group of thirty-six scholars to write a secret history of the Vietnam War. The project took a year and a half, ran to seven thousand pages, and filled forty-seven volumes. Only a handful of copies were made, and most were kept under lock and key in and around the Beltway. One set, however, ended up at the RAND Corporation, in Santa Monica, where it was read, from start to finish, by a young analyst there named Daniel Ellsberg. Ellsberg was dismayed by what he learned. For a generation, the U.S. government had been lying to the American people about the Vietnam War. He put the first of the volumes in his briefcase, praying that the security guards at RAND would not stop him, and made his way to a small advertising agency in West Hollywood, where a friend told him there was a Xerox machine he could use. "It was a big one, advanced for its time, but very slow by today's standards," Ellsberg writes in his 2002 autobiography, "Secrets: A Memoir of Vietnam and the Pentagon Papers": It could do only one page at a time, and it took several seconds to do each page. I tried pressing the book down on the glass to do two pages at a time, but the middle section was faint and uneven. Fortunately the books were bound with metal tapes through holes so they could be taken apart. . . . The machine didn't collate, and the bar had to come back and travel just as slowly for each copy.

Polymorphic malware detection is challenging due to the continual mutations miscreants introduce to successive instances of a particular virus. Such changes are akin to mutations in biological sequences. Recently, high-throughput methods for gene sequence classification have been developed by the bioinformatics and computational biology communities. In this paper, we argue that these methods can be usefully applied to malware detection. Unfortunately, gene classification tools are usually optimized for and restricted to an alphabet of four letters (nucleic acids). Consequently, we have selected the Strand gene sequence classifier, which offers a robust classification strategy that can easily accommodate unstructured data with any alphabet including source code or compiled machine code. To demonstrate Stand's suitability for classifying malware, we execute it on approximately 500GB of malware data provided by the Kaggle Microsoft Malware Classification Challenge (BIG 2015) used for predicting 9 classes of polymorphic malware. Experiments show that, with minimal adaptation, the method achieves accuracy levels well above 95% requiring only a fraction of the training times used by the winning team's method.

Many Netgear routers are at risk of an easy hack that could easily lead to people's internet browsing being compromised. Anyone with an affected router – which seems to include many of the company's most popular models – should turn it off if they can, to make sure they are safe, according to experts. The problem is very simple and exploiting it is "trivial", according to US-CERT, the country's official computer security organisation. "Users who have the option of doing so should strongly consider discontinuing use of affected devices until a fix is made available," the experts, which are part of the Department for Homeland Security, said. In its facilities, JAXA develop satellites and analyse their observation data, train astronauts for utilization in the Japanese Experiment Module'Kibo' of the International Space Station (ISS) and develop launch vehicles 32/39 The robot developed by Seed Solutions sings and dances to the music during the Japan Robot Week 2016 at Tokyo Big Sight.

You've read about cities installing smart parking meters and noise- and air-quality sensors, but are you ready to embrace the idea of a city brain? The residents of Singapore are on track to do just that. Creating a centralized dashboard view of sensors deployed across a distributed network is nothing new, but it takes on a bigger -- perhaps ominous -- meaning when deployed across a major city. Many technologically advanced cities worldwide are exploring ways to build such comprehensive digital views for managing traffic and parking, monitoring water and air quality, and offering such citizen-facing services as web-based tools for interacting with government agencies. Some smart city experts call this system approach a "city brain" or, less glamorously, a "municipal backplane."

Apple has launched its newest iOS update, bringing with it a huge range of new emoji – some of which are a little odd. The new update, numbered iOS 10.2, is now available for everyone with an iPhone or iPad to download. It has a corresponding update to macOS Sierra, which also enables the new emoji. Many of the changes have been long-trailed and heralded as important additions to the emoji keyboards. Those include things like new professions, with teachers, astronauts and scientists, as well as gender options meant to address the apparent sexism coded into some of the previous choices.

In this episode: Brett King traveled to Helsinki and Tokyo and spoke to experts about how artificial intelligence and augmented reality will change people's financial lives. He interviewed Kristian Luoma, who runs an accelerator program at Finnish financial services firm OP Financial; Ville Hulkko from fintech startup Valossa, which has built an artificial intelligence engine that watches videos and can describe what happens in them; Megan Beck, author of The Network Imperative, a book about digital transformation; Natalie Shiori Fleming and Hiroki Kudo from Fintech Association Japan; and Toshi Taki from Money Forward, a personal financial management software startup in Japan that uses AI to categorize transactions.

People in the FinTech space like to say that FinTech will disrupt financial services beyond recognition, causing mass disruption of its delivery to consumers. Artificial intelligence ("AI") will disrupt all financial services, indeed all of our society. Technically, AI is intelligence created by machines or software, sometimes called machine learning and sometimes confused with robotics. Robotics is just the robotization of something – if is has the capability to learn, then robotics can be AI. The artificial intelligence and robotics market combined was worth US$10.7 billion in 2014 and is expected to be worth US$153 billion by 2020, and to have a disruptive impact of between US$14 to US$33 trillion.