The agency emphasized that the computer problem wouldn't affect the station's crew -- NASA's Serena Aunon-Chancellor, Russian Sergei Prokopyev and German Alexander Gerst. It said two other computers can maintain the station's operation.

Almost three years after Facebook was first alerted to a potential data breach committed by Cambridge Analytica, it is unclear how many people still have access to the data stolen by the company. The findings come in a report released Tuesday by the Information Commissioner's Office, a government agency in the UK that reports to Parliament. The investigation, which launched in May 2017, analyzed over 50 million pages of data seized from the now-defunct Cambridge Analytica. According to interviews with Cambridge Analytica employees, multiple attempts were made to delete the Facebook data misused by the company, but there still might be ad targeting tools that are based on data harvested by Facebook that have not been deleted. Facebook first learned of data leaks in 2015 when The Guardian reported Cambridge Analytica's involvement with Ted Cruz's presidential campaign.

Five new clinics will open in the UK next year that will use artificial intelligence to help speed up disease diagnosis. The medical technology centres in Leeds, Oxford, Coventry, Glasgow and London will be funded by the Government as it looks to increase its investment in AI and improve patient treatment. The centres will use AI software to digitalise scans and biopsies, and develop products to detect diseases early. The large investment, costing £50million, will ensure people get personalised treatment sooner, as well as freeing up doctors time. Business, Energy and Industrial Strategy Secretary Greg Clark said: 'AI has the potential to revolutionise healthcare and improve lives for the better.' 'The innovation at these new centres will help diagnose disease earlier to give people more options when it comes to their treatment, and make reporting more efficient, freeing up time for our much-admired NHS staff to spend on direct patient care.'

Voice assistants have their benefits, but it can be a bit weird to talk to a faceless robot voice all day. Stockholm-based technology startup Furhat Robotics is putting a face to our interactions with AI with Furhat, a social robot that is capable of displaying humanlike expressions and emotions on a customizable face. The company showed off the latest generation of the social robot today at WebSummit. If you took your standard smart speaker and slapped a disembodied head on top of it, you'll get Furhat. The robot uses a projection system to display a pretty lifelike looking face onto a head-shaped display.

Scotland is to get its own £15.8m The Glasgow-based centre will look at how AI could improve patient diagnosis and treatment. It will bring together experts to explore using AI in the treatment of strokes and some cancers. It is hoped that using technology to process large amounts of data will allow the health service to operate more quickly and efficiently. The centre will be known as the Industrial Centre for Artificial Intelligence Research in Digital Diagnostics (iCAIRD).

Conference Series welcomes you to attend the "International Conference on Advanced Robotics, Mechatronics and Artificial Intelligence" during December 03-04, 2018, Valencia, Spain. The main theme of the conference is "Boundless implication of Automation and Control Systems in Mechatronics". We cordially invite all the participants who are interested in sharing their knowledge and research in the arena of Advanced Robotics, Mechatronics and Artificial Intelligence. Advanced Robotics 2018 anticipates more than 150 participants around the globe with thought provoking Keynote lectures, Oral and Poster presentations. Opportunity to attend the presentations delivered by eminent scientists, researchers, experts from all over the world.

New centres announced today will bring together doctors, businesses and academics to develop products using these advances in digital technology to improve early diagnosis of disease, including cancer by detecting abnormalities. The products developed at the new centres will offer more personalised treatment for patients while freeing up doctors to spend more time caring for patients. The investment in large-scale genomics and image analysis will drive new understanding of how complex diseases develop, in a proactive step to ensure people get the right treatment at the right time. AI has the potential to revolutionise healthcare and improve lives for the better. That's why our modern Industrial Strategy puts pioneering technologies at the heart of our plans to build a Britain fit for the future.

Look at just about any rendering or essayistic sketch of the world's transportation future, and you'll notice two things about the cars, trucks, vans, and whatever elses tootling around the roads: They drive themselves and they run on electricity. The funny thing about that pairing is that there's no inherent relationship between a vehicle's ability to drive itself and what it uses to move its wheels. Relying on a battery can actually be problematic for vehicles running piles of computers and sensors, but electric rides are a popular choice for autonomy developers anyway, because they feel more like the future. For Swedish trucking startup Einride, though, the connection between electric and autonomous technology is fundamental. Getting rid of the human, founder and CEO Robert Falck says, makes the formidable challenge of running a truck on batteries far easier.

Nonnegative matrix factorization (NMF) is a popular method for audio spectral unmixing. While NMF is traditionally applied to off-the-shelf time-frequency representations based on the short-time Fourier or Cosine transforms, the ability to learn transforms from raw data attracts increasing attention. However, this adds an important computational overhead. When assumed orthogonal (like the Fourier or Cosine transforms), learning the transform yields a non-convex optimization problem on the orthogonal matrix manifold. In this paper, we derive a quasi-Newton method on the manifold using sparse approximations of the Hessian. Experiments on synthetic and real audio data show that the proposed algorithm out-performs state-of-the-art first-order and coordinate-descent methods by orders of magnitude. A Python package for fast TL-NMF is released online at https://github.com/pierreablin/tlnmf.

In this paper we experimentally analyze the convergence behavior of CoCoA and show, that the number of workers required to achieve the highest convergence rate at any point in time, changes over the course of the training. Based on this observation, we build Chicle, an elastic framework that dynamically adjusts the number of workers based on feedback from the training algorithm, in order to select the number of workers that results in the highest convergence rate. In our evaluation of 6 datasets, we show that Chicle is able to accelerate the time-to-accuracy by a factor of up to 5.96x compared to the best static setting, while being robust enough to find an optimal or near-optimal setting automatically in most cases.