This year at Cannes Lions, judges are recognizing work at the intersection of AI and advertising. The Next Rembrandt, a campaign by JWT Amsterdam for the Dutch bank ING, used "deep learning" algorithms to analyze more than 168,000 painting fragments by the 17th century master to create a digital image based on his existing work. Then, a 3D printer fabricated a painting based on the image, replicating the depth and texture of original Rembrandt works to a surprising degree. The campaign took home a Grand Prix at Cannes in the Cyber Lions category, which recognizes "ideas indigenous to, or enhanced by, the digital environment," and an additional Grand Prix in the Creative Data Lions category. This year's entries were more sophisticated than those in the past, said Cyber Lions jury president Chloe Gottlieb, SVP and executive creative director at R/GA. "The data is not an output from the creativity," said Gottlieb.

Washington (AFP) - If it has to make a choice, will your autonomous car kill you or pedestrians on the street? The looming arrival of self-driving vehicles is likely to vastly reduce traffic fatalities, but also poses difficult moral dilemmas, researchers said in a study Thursday. Autonomous driving systems will require programmers to develop algorithms to make critical decisions that are based more on ethics than technology, according to the study published in the journal Science. "Figuring out how to build ethical autonomous machines is one of the thorniest challenges in artificial intelligence today," said the study by Jean-Francois Bonnefon of the Toulouse School of Economics, Azim Shariff of the University of Oregon and Iyad Rahwan of the Massachusetts Institute of Technology. "For the time being, there seems to be no easy way to design algorithms that would reconcile moral values and personal self-interest -- let alone account for different cultures with various moral attitudes regarding life-life tradeoffs -- but public opinion and social pressure may very well shift as this conversation progresses."

Elon Musk keeps warning us that artificial intelligence is a real threat, but he's also contributing to the evolution of machines. Sure, he might not be doing the real coding, but the smart Tesla cars that will be able to drive themselves around town in the following years will have to be programmed to handle a particular type of emergency: hitting a pedestrian or saving the lives of the passengers inside the vehicle. DON'T MISS: Galaxy Note 7 shaping up to be Samsung's most powerful smartphone yet Tesla and other carmakers are already working on self-driving cars, but autopilot features are yet to be finalized – or completely safe. Even if driverless cars would be readily available to buyers, the legal framework that would allow such machines to operate on public roads isn't there yet. That means self-driving vehicles aren't legal as long as they're not regulated.

The Mill's Blackbird is a fully adjustable car rig used to create photorealistic CG vehicles. VP of Advanced Manufacturing Technologies advises on budgeting, partnerships and common mistakes for SMES. BREAKING: What Does Brexit Mean for UK Manufacturing? Proposes Cloud Robotics for 3D Print Farm Automation Tesla Motor Company wants to purchase SolarCity. Here are some ways that such a merger could affect the solar industry.

Accenture's technology R&D head urges China to scale up smart machine trials at home and abroad, Chen Yingqun and Zhang Xia report. China should step up its efforts to adopt artificial intelligence in its industries to boost the country's economic transformation, according to French technology expert Marc Carrel-Billiard. The development of artificial intelligence is a hot topic in China, he said, especially since the central government unveiled the Made in China 2025 strategy, which largely aims to upgrade the manufacturing industry with high-technology over the next decade. AI refers to machines or systems that can understand, learn and act independently, allowing them to take on cognitive functions otherwise performed by a human, such as problem-solving. Carrel-Billiard said such technology is important due to the shift toward greater connectivity, either through cloud computing or smart networks.

With the inclusion of bots and artificial intelligence, business and tech are undergoing a whole industry change. However, with the inclusion of these digital-based workers, will the workplace and its human employees have to brace themselves for an overhaul that will largely exclude them? Currently, the workplace has emphasis on workers' abilities to incorporate human interaction with production. However, for some corporations – especially in tech and business – that human work production can leave much to be desired when it comes to precision and automation. In a study by Pew Research Center, the effects of workplace automation and the increased incorporation of bots is examined.

That's one of the questions animating the field of computational creativity, which seeks to design artificial intelligence that can replicate human creativity. We wrote recently about a Google effort to create algorithms that make original music. But what if artificial intelligence could design and make 3D objects you could actually hold in your hand? That was the challenge that Joel Lehman, an assistant professor at the IT University of Copenhagen, set out to tackle. Lehman wondered if he could somehow leverage the remarkable image recognition power of deep neural networks (DNN) to create new artifacts without human input.

Representations of probability measures in reproducing kernel Hilbert spaces provide a flexible framework for fully nonparametric hypothesis tests of independence, which can capture any type of departure from independence, including nonlinear associations and multivariate interactions. However, these approaches come with an at least quadratic computational cost in the number of observations, which can be prohibitive in many applications. Arguably, it is exactly in such large-scale datasets that capturing any type of dependence is of interest, so striking a favourable tradeoff between computational efficiency and test performance for kernel independence tests would have a direct impact on their applicability in practice. In this contribution, we provide an extensive study of the use of large-scale kernel approximations in the context of independence testing, contrasting block-based, Nystrom and random Fourier feature approaches. Through a variety of synthetic data experiments, it is demonstrated that our novel large scale methods give comparable performance with existing methods whilst using significantly less computation time and memory.

This paper focuses on the problem of explaining predictions of psychological attributes such as attractiveness, happiness, confidence and intelligence from face photographs using deep neural networks. Since psychological attribute datasets typically suffer from small sample sizes, we apply transfer learning with two base models to avoid overfitting. These models were trained on an age and gender prediction task, respectively. Using a novel explanation method we extract heatmaps that highlight the parts of the image most responsible for the prediction. We further observe that the explanation method provides important insights into the nature of features of the base model, which allow one to assess the aptitude of the base model for a given transfer learning task. Finally, we observe that the multiclass model is more feature rich than its binary counterpart. The experimental evaluation is performed on the 2222 images from the 10k US faces dataset containing psychological attribute labels as well as on a subset of KDEF images.

It is the future of shipping - and there's not a single sailor on board. Rolls Royce has revealed planed for fleets of'drone ships' to ferry carry around the world - all controlled from a central'holodeck'. It believes an entirely unmanned ship could take to the seas by 2020. Rolls Royce said it has already begun testing the technology needed to make the ships a reality, and expected them to take to the sea by the end of the decade. Cameras would beam 360-degree views from the drone ship back to operators based in a virtual bridge.