This project will assess the pros and cons for fundamental rights of using artificial intelligence (AI) and big data for public administration and business purposes in selected EU Member States. It will provide concrete examples of fundamental rights challenges when using algorithms for decision-making (i.e. for machine learning and AI). An aim of the project is to contribute to setting out fundamental rights guidelines and recommendations in these fields. The rapid increase in the use of new technologies has shown there is a need to identify and explain fundamental rights challenges in this area. It can lead to infringements of privacy, data protection and equal treatment, particularly when it comes to the growing use of big data and algorithms through rapid advances in machine learning and AI.

Artificial intelligence (AI) has become an area of strategic importance and a key driver of economic development. It can bring solutions to many societal challenges from treating diseases to minimising the environmental impact of farming. However, socio-economic, legal and ethical impacts have to be carefully addressed. It is essential to join forces in the European Union to stay at the forefront of this technological revolution, to ensure competitiveness and to shape the conditions for its development and use (ensuring respect of European values). The Commission is increasing its annual investments in AI by 70% under the research and innovation programme Horizon 2020.

As technology has progressed, humans have become ever more powerful. With this power comes great opportunity and great risk. Nowhere is this clearer than in the potential of artificial intelligence. But a new report from the RAND corporation suggests that our misconceptions about what the technology can do may be as dangerous as the technology itself. If you're a singularity believer, according to the RAND report, "Superintelligence would render the world unrecognizable and either save or destroy humanity in the process." A world with human-level AI could be unimaginably different to the world of today--and difficult to make predictions about.

An investigation, recently published in Nature, and carried out by scientists at Stockholm University has shown that liquid water is much more complex than meets the eye. With the use of the x-ray laser at the SLAC National Accelerator Laboratory in California the team of scientists have probed the finer movements of liquid water on incredibly short timescales. 'A schematic of the approach used to capture water dynamics on the ultrafast timescale. If one were able to photograph the molecules in real space with different exposure times, the image would become gradually blurry because of the motion of the molecules. This is done with x-ray scattering in the so-called reciprocal space, where the diffraction pattern is gradually smoother for longer pulse durations.' This experimental investigation is the first of its kind to'photograph' water molecules on timescales as short as millionths of a billionth of a second.

This morning, just under a year later, Sadoun took the stage at the Publicis-founded VivaTech conference in Paris to unveil long-awaited details about Marcel, beyond the ad lingo boilerplate of transformation, innovation, and breaking down silos. There was still a lot of that, but also a walk-through of what the company is calling "Publicis in the palm of your hand." Built with the help of Microsoft AI and the company's own Publicis.Sapient, the new platform aims to connect all 80,000 Publicis employees, across 200 disciplines in 130 countries, to provide more seamless communication, collaboration, and anticipation of client needs. It's currently being beta-tested by 100 employees, moving to 1,000 in the next few weeks, and the idea is to start the overall rollout in January, with a goal of having 80% of the company's people connected by 2020. "When I announced this last year at Cannes, our industry was dancing, drinking, and having fun. But since then, a few things have happened," says Sadoun, in a conversation with Fast Company before the VivaTech presentation.

This article is brought to you thanks to the strategic cooperation of The European Sting with the World Economic Forum. Author: Rhodri Davies, Head of Policy, Charities Aid Foundation Artificial intelligence has become a hot political and cultural topic. UK prime minister Theresa May made it the centerpiece of her appearance at this year's Davos Summit.

Samsung's SVP, head of global research Larry Heck, who joined the company from Google last November, says the new centers represent an acknowledgement that we're still in the early stages of AI, and there are some grand scientific challenges to be solved so that more people actually start using AI every day: "These challenges are going to need the top AI talent in the world to solve them, so what we recognized is that we need to go to where the talent is," says Heck. "Toronto is a world-leading center for research, specifically in deep learning and computer vision, and similarly are Moscow and Cambridge. These are the first three, but we'll be expanding and opening more." The three new centers join Samsung's existing AI-research labs in Seoul and Mountain View, CA. While it does represent a significant boost in the company's AI investment, don't expect the results to land in your new phone next year. Heck says the work at these centers will be tackling advanced research problems, far out in front to provide a path forward for Bixby and their other AI efforts.

It has been said that to give a man a fish is to feed him for a day, whereas to teach a man to fish is to feed him for life. Forward-looking financial service companies are similarly finding that giving computers instructions is not nearly as fruitful as teaching them to write their own. From assessing credit risks to beefing-up the security of their own networks, fintech startups, in particular, are turning to machine learning finance-based solutions in order to work smarter rather than harder. Considering that over 200 leading financial institutions will attend the upcoming October 2016 Machine Learning Fintech Conference, investment in this subset of artificial intelligence (AI) seems to be a wise move, indeed, for companies that don't want to be left behind. With leading banks starting to invest in AI, and machine learning in particular, fintech companies will be significantly disadvantaged if they fail to do likewise.

Scientists have developed an artificial intelligence (AI) that can identify people by measuring their gait or walking pattern. The technology could be used at airport security instead of fingerprinting and eye-scanning. It can successfully verify an individual simply by analysing the footstep 3D and time-based data. The AI system, developed by researchers at University of Manchester in the UK and University of Madrid in Spain, correctly identified an individual almost 100 per cent of the time, with just a 0.7 error rate. Physical biometrics, such as fingerprints, facial recognition and retinal scans, are currently more commonly used for security purposes.

Seeing as artificial intelligence has a fairly significant role in almost everyone's life these days, it's only fair that everyone should also have the chance to learn all about how AI functions. Therefore, Helsinki University in Finland is providing the world's first online artificial intelligence course aimed at beginners, as reported by Engadget. Fortunately, anyone with access to the internet can enroll and it's even free! The course only takes around 30 hours to finish, and the hope is that it might help people get to know and form opinions on artificial intelligence. Knowledge that will be useful as the technology becomes more widespread.