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.

New developments in artificial intelligence and robotics put 42 per cent of Canadian workers at high risk of seeing their jobs disappear or significantly changed in the next two decades, a new report concludes. While advancing computerization has already made some jobs obsolete, the rapid development of artificial intelligence is poised to become a new "inflection point" for more dramatic job change over the next 10 to 20 years, said Sean Mullin, executive director of the Brookfield Institute for Innovation Entrepreneurship at Ryerson University. Mr. Mullin said computers are expected to take on jobs that previously required higher "cognitive skills" as new technology allows machines to learn on their own and apply their knowledge. "If that even partially comes true, we're going to see a much more fundamental restructuring of the labour force and potentially a much higher percentage of jobs at risk than I think we've seen in the past," Mr. Mullin said. The new Brookfield Institute research report examined all major job categories in Canada and applied a methodology developed in 2013 at Oxford University in Britain.

The first artificial intelligence algorithm to pass the "Turing Test for sound" has been created, capable of producing sounds that fool humans into thinking they are real. Researchers from the Computer Science and Artificial Intelligence Laboratory (CSAIL) at Massachusetts Institute of Technology (MIT) demonstrated an algorithm that was able to view silent video clips and accurately predict realistic sounds that might appear. In order to train the algorithm, the researchers fed it with around 1,000 videos containing an estimated 46,000 sounds produced using a drumstick. "To then predict the sound of a new video, the algorithm looks at the sound properties of each frame of that video, and matches them to the most similar sounds in the database," said Andrew Owens, a CSAIL PhD student who was the lead author on an upcoming study detailing the work. "Once the system has those bits of audio, it stitches them together to create one coherent sound."

Data Science Central, LLC, creates the first research lab entirely focused on modern data science, big data and business analytics. Issaquah, Washington (PRWEB) June 13, 2014 - Data Science Central has created the first research lab focused entirely on modern data science, big data and business analytics. The research is developed by co-founder Dr. Vincent Granville, a former post-graduate from Cambridge University with more than 20 years of cross-industry experience in large and small companies including eBay, Wells Fargo, Visa, and Microsoft, and a long list of publications and start-ups. The research center, also called data science research lab and abbreviated as DSRC produces intellectual property (open patents that anyone can use), designs API's, machine learning algorithms prototyped on real data, and publishes articles related to Map-Reduce, robust scoring techniques for big data, clustering and creation of large taxonomies with natural language processing, detection of spurious correlations, new types of noise-resistant regression, new synthetic metrics to re-define correlations, variance and other statistical indicators in a way that is more robust, especially in the context of big data. The DSRC's mission is also to automate data science and statistical analyses, by producing efficient, scalable techniques that can be used as black boxes, in batch mode, by non-experts, or integrated to existing platforms.

Although prosthetics have been used for centuries, current options remain uncomfortable and have limited and unreliable functionality. In fact, some patients prefer not to use them at all. But a team of scientists in Gothenburg have been working on a cutting-edge bionic limb that could transform the field of prosthetics. Lead professor, Dr Rickard Branemark, and team leader Max Ortiz Catalan, have developed a new way to attach prosthetics. The new technology involves a titanium implant being surgically inserted into the bone in a process known as osseointegration.

Ask five people who follow the video games industry what to expect from an E3 press conference and they'll all paint you a similar picture. Bright lights on a big stage, lengthy cinematic trailers for shooters starring gravelly-voiced stubble-faced white men, interspersed with awkward patter from white men in suits (or, depending on the publisher, suit jackets and T-shirts and trainers), cheered and whooped at by a largely white male audience. This industry is often unwelcoming to women and underrepresented minorities, and these widely watched events do little to counter that. Of course, some conferences do better than others. This year, we've judged EA, Bethesda, Microsoft, Ubisoft, and Sony for the diversity of their speakers and of the games and characters on show.

Computers have been capable of taking hand-drawn sketches and turning them into photorealistic images for some time now, but the color photographs that result haven't always been accurate. Obviously it's even more of a frustrating exercise for humans to tackle, let alone take even a cursory stab at. That's where a neural network educated by Yagmur Gucluturk, Umut Guclu and others at Radboud University in Denmark comes in. The process began with 200,000 images of faces pulled from the internet and converted them into drawings, grayscale and color sketches to teach a neural network with 11-layers to turn a sketch into a photograph of a face that could rival one actually taken by a camera. This went so far as to train the neural network, and then the team gave it one more go using a completely different set of data.

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.

The best minds in the business--Yann LeCun of Facebook, Luke Nosek of the Founders Fund, Nick Bostrom of Oxford University and Andrew Ng of Baidu--on what life will look like in the age of the machinesThe traditional definition of artificial intelligence is the ability of machines to execute tasks and solve problems in ways normally attributed to humans. Some tasks that we consider simple--recognizing an object in a photo, driving a car--are incredibly complex for AI. Machines can surpass us when it comes to things like playing chess, but those machines are limited by the manual nature of their programming; a 30 gadget can beat us at a board game, but it can't do--or learn to do--anything else. This is where machine learning comes in. Show millions of cat photos to a machine, and it will hone its algorithms to improve at recognizing pictures of cats.

This week, in a public test, we put the Triage capability of babylon's new AI function to test against some of the UK's top triage nurses and junior doctors. Professor Irwin Nazareth, The Academic Doctoral Research Committee Chair of the Health Education England and NIHR examined one of Britain's most senior A&E nurses, an Oxford-educated Junior Doctor and babylon's new'Check' feature to see who provided the most accurate and fastest triage assessment in front of the UK's top consumer, health and technology media. This was a live demonstration of an extensive set of tests published in an academic research paper, that showed babylon's'Check'feature to be safe in 100% of cases, 13% more accurate than a doctor, 17% more accurate than a nurse, and performing significantly faster 89% of the time. "Check a Symptom" is already the most popular feature on the babylon app. In the UK alone, it has been used around 20,000 times in just three weeks (that is about 3% of the usage of nhs 111 nationally in the same period).