NEW YORK, NY--(Marketwired - Jun 15, 2016) - Datorama, a global leader in marketing analytics innovation, today announced the company has added an office in Europe. The latest addition to Datorama's global footprint is located in Hamburg, Germany and marks a critical milestone as the company expands into the German, Austrian and Swiss (DACH) region. Datorama's Hamburg office further strengthens a robust EMEA presence, which includes: Amsterdam, Barcelona, London and Paris. Designed for marketers, Datorama's Marketing Integration Engine helps leading enterprises, agencies and publishers centralize all of their marketing data across silos for cross-channel visualization, analysis and data-driven insight generation. By analyzing inputs from unlimited data sources, including online and offline marketing channels, and first- and third-party applications across CRM, billing, call centers, and more, the company's patent-pending artificial intelligence (AI)-based software delivers a single source of truth at the data layer to drive tactical and strategic marketing performance optimization.

Every job has its more boring components. In libraries, one of those jobs is scanning the shelves, looking for missing and misplaced books, and taking stock of what's available. For human workers, this is time-consuming, repetitive and boring, all of which can contribute to wandering attention. The autonomous robotic shelf-scanning platform, or AuRoSS, is in development by the Institute for Infocomm Research of Singapore's Agency for Science, Technology and Research. It uses laser mapping to navigate a library, and RFID tags placed on books to scan the collection.

Do you remember JARVIS, the computerized personal assistant who helps Tony Stark manage his complex super hero affairs in the Iron Man movies? With the rise of conversational Artificial Intelligence (AI) like Google Home or Amazon Echo, or the smartphone-based Viv, Siri, Cortana, etc., similar JARVIS-like services may be available in the not-so-distant future. Yet to date, the impact of conversational technology – and popular discussion about its use – often remain limited to modern conveniences like ordering household supplies or receiving restaurant recommendations, reminders and hands-free directions. While it's helpful for everyday tasks, the technology that underlies these services can be put to more ambitious uses. Indeed, it can amplify existing impacts and overcome significant technical barriers to unlocking commercial, educational and connectivity services for the next four billion emerging mobile users in developing markets – people who will soon access the internet for the first time.

LOS ANGELES -- Video games are great because they let you become any person you want: a pro basketball player, a space marine, a sorcerer or a plumber with a strong love for mushrooms. Virtual reality takes it a step further. Here are three things I've done in VR since E3 kicked off: Details: Yep, you too can become the caped crusader (minus the gravelly voice). The creators of the Batman Arkham series developed a VR game focused on the Dark Knight's detective skills. The demo starts as Bruce Wayne, using PlayStation Move controllers to tap the keys to a piano and begin your descent into the Batcave.

Creation of natural human sources to communicate with the computer is currently one of the greatest challenges of modern science. The speech input facility is the most user-friendly way, adopted by development of speech recognition based on sophisticated technologies. Scientists began the selection of informative signs, describing the voice signal, afterwards the task of classification of speech signals as a set of informative signs. The development of methods of signal processing in the absence of sufficient models lead to questions about the processes of generation signals using artificial neural networks, As a result; when building a signal processing system, the structure of the network should be selected; according to parameters of the signals and training network using an algorithm to maximize the use of the information contained in the data of the experiment. This article proposes the Application of wavelet transform for reduction of the value of artificial neural networks for speech recognition tasks this method a present Study a new modification of neural networks a neural network with inverse Wavelet Decomposition of the signal.

On June 25 IBM ISTC Startup Challenge competition DemoDay will be held which was launched in April this year and lasted 10-weeks. SeedStar competition will be held in the same place (American University of Armenia, Manoogian Hall), which is implemented jointly with Microsoft Innovation Center and Enterprise Incubator Foundation. More than 40 applications were received for IBM ISTC Startup Challenge and only 10 passed to the competition stage, 6 of which reached the final round. Various workshops were conducted for the teams during these 10 weeks, ranging from concept design and development, through access to the market. The teams used the services provided by the IBM Watson artificial intelligence in their work, which allows them to make "smart" solutions without much effort.

Our machines are getting smarter at a mind-bending pace. Tech writer Kevin Kelly, founder and former executive editor at Wired Magazine (his job title now is Senior Maverick), attempts to chart the future in his new book "The Inevitable: Understanding The 12 Technological Forces That Will Shape Our Future." In this interview with Ross Reynolds, Kelly explores two of those forces: virtual reality, which he says is creating the next evolution of the internet, and artificial intelligence, of which he writes "it's hard to imagine anything that'changes everything' as much as cheap, powerful, ubiquitous, artificial intelligence." He confronts the questions of whether virtual reality is too real for most users, whether the big companies that make artificial intelligence (Google and Amazon) will take advantage of their power, and now that we're dependent on these devices, what happens when the power goes out. Kelly has been on the forefront of technology journalism for 35 years.

Getting anywhere in a city like Beijing means slogging through colossal traffic jams and chaotic, bewildering intersections. Crashes kill 500 people daily, and everyone views the rules of the road as advisory at best. "Many drivers and pedestrians think that traffic signals are just for reference," says Jing Wang. But Wang is entirely serious when he says Beijing and Shanghai are a perfect laboratory for self-driving cars. He leads the autonomous vehicles program at Baidu (China's version of Google), and he's confident China will be the first country to embrace autonomy.

It has housed soldiers, scientists, and even ravers, but Fort Alexander near St Petersburg now lies abandoned. Magnificent drone footage shows the fortress, named after a Russian Emperor, in its current forsaken state. The structure was built between 1838 and 1845 on an artificial island in the Gulf of Finland. Dramatic drone footage shows the derelict Russian'Plague Fort' near St Petersburg in the Gulf of Finland During the Crimean war the fort guarded the Imperial Russian Navy base in Kronstadt against British and French fleets. But it was never involved in hostilities and lost its military value soon after construction.

IBM'S ARTIFICIAL INTELLIGENCE (AI) will be mixed with Cisco's data analytics to help make sense of the data hoovered up by the Internet of Things (IoT). The partnership will use the IBM Watson AI with Cisco's ability to carry out data analysis on at the edge of IoT networks rather than waiting for all that information to be pushed back to a central point. The companies explained that this will make data analysis in the IoT faster and allow customers to act on the information as soon as possible. Organisations are trying to make better use of data as devices become more intelligent and connected to corporate networks, and one of the problems is the process of actually gathering the data, according to IBM. "Today, in a typical industrial deployment, only one per cent of IoT data is actually analysed. Legacy processes and drawbacks in current IoT platforms make it too expensive and slow to analyse the other 99 per cent," said Chris O'Connor, general manager for IoT at IBM, on the firm's blog.