Reinforcement learning is considered to be a strong AI paradigm which can be used to teach machines through interaction with the environment and learning from their mistakes. Despite its perceived utility, it has not yet been successfully applied in automotive applications. Motivated by the successful demonstrations of learning of Atari games and Go by Google DeepMind, we propose a framework for autonomous driving using deep reinforcement learning. This is of particular relevance as it is difficult to pose autonomous driving as a supervised learning problem due to strong interactions with the environment including other vehicles, pedestrians and roadworks. As it is a relatively new area of research for autonomous driving, we provide a short overview of deep reinforcement learning and then describe our proposed framework. It incorporates Recurrent Neural Networks for information integration, enabling the car to handle partially observable scenarios. It also integrates the recent work on attention models to focus on relevant information, thereby reducing the computational complexity for deployment on embedded hardware. The framework was tested in an open source 3D car racing simulator called TORCS. Our simulation results demonstrate learning of autonomous maneuvering in a scenario of complex road curvatures and simple interaction of other vehicles.

When faced with high frequency streams of data, clustering raises theoretical and algorithmic pitfalls. We introduce a new and adaptive online clustering algorithm relying on a quasi-Bayesian approach, with a dynamic (\emph{i.e.}, time-dependent) estimation of the (unknown and changing) number of clusters. We prove that our approach is supported by minimax regret bounds. We also provide an RJMCMC-flavored implementation (called PACBO) for which we give a convergence guarantee. Finally, numerical experiments illustrate the potential of our procedure.

When I tell people that I work at an AI company, they often follow up with "So what kind of machine learning/deep learning do you do?" This isn't surprising, as most of the market attention (and hype) in and around AI has been centered around Machine Learning, and its high profile subset, Deep Learning, and around Natural Language Processing, with the rise of the chatbot and virtual assistants. But while machine learning is a core component for artificial intelligence, AI is in fact more than just ML. So what does it really mean for an application to be "intelligent"? What does it take to create a system that is "artificially intelligent?

A storyboard artist on Pixar's Highlands-set movie Brave is helping to give artificial intelligence developed by Google its "personality". US-based Emma Coats was an artist on Brave for four-and-a-half years and part of a Pixar crew that made a research trip to Scotland. Brave, whose lead Merida was played by Kelly Macdonald, was released in 2012. Coats now writes dialogue for Google Assistant, which runs on computers, phones and a new smart home device. The 31-year-old, who also worked on Pixar's Monsters University and makes her own short films, has fond memories of working on Brave and Scotland.

It is the year 2050, sex bots have ruined human relationships, clothes are sprayed on your body and you spend your weekends at a lawless adult amusement park. Although the scenarios sound like the plot of a science fiction film, they are among many predictions futurologists have made about life just 33 years from now. The project, called Earth 2050, highlights predictions for cities around the globe and different artefacts people could encounter in the not-so-distant future. The interactive multimedia project was created by Kaspersky Lab, a global cybersecurity firm, in honor of its 20 years in the market. To create Earth 2050, the team collaborated with futurologists such as Ian Pearson, other researchers and spoke with artists and scientists in order to capture a realistic view of what is yet to come.

Google has brought the late artist Bob Ross back to life, but as a monster-faced figure in a'nightmare' world. An engineer filtered an episode of Ross's PBS television show'The Joy of Painting' through the artificial neural network DeepDream, which can'see' objects and animals that are not really there. The video shows a segment with Ross painting his iconic happy trees, but instead of seeing fluffy green bushels, viewers are presented with bug-eyed creatures on the canvas. Google has brought the late artist Bob Ross back to life, but as a monster-faced figure in a'nightmare' world. An engineer filtered an episode of Ross's PBS television show'The Joy of Painting' through the artificial neural network DeepDream, which can'see' objects and animals that are not really there The latest DeepDream project was created by Alexander Reben, who is an artist an engineer.

The findings tie in with Society of Motor Manufacturers and Traders' (SMMT) Connected Car conference on Thursday, which explores how the technology will transform the industry and the opportunities it presents. "The benefits of connected and autonomous vehicles are life-changing, offering more people greater independence, freedom to socialise, work and earn more, and access services more easily," said Mike Hawes, chief executive of the trade body, which predicts that self-driving cars will be commonplace by the 2030s. "Fully autonomous cars will be a step change for society, and this report shows people are already seeing their benefits. The challenge now is to create the conditions that will allow this technology to thrive." The research also found that six out of 10 people believe self-driving cars will improve their quality of life, with this rising to seven out of 10 for people aged 17 to 24.

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TECHNOLOGY FOR PEOPLE Digital disruption is taking a new direction with people now shaping technology to fit our need. By amplifying people and putting the power into their hands, banks can deepen their role in consumers' lives, and firmly establish their place as partners in the new digital economy. HELP WRITE THE NEW RULES OF ENGAGEMENT OR RISK BEING REGULATED OUT THE UNCHARTED BANKERS SAY: • Industry regulations have not kept pace with technology advancement (66% globally, 82% in US). THE UNCHARTED TAKE THE LEAD TO SHAPE THE NEW RULES 75% of bankers agree they have a duty to be proactive in writing the rules. Freedom to innovate THOSE THAT DO EXPECT MORE: Opportunity to develop standards that others follow Expanded opportunities for trusted partnerships 7. 8www.accenture.com/bankingtechvision

Adobe has shown off a smartphone app that uses artificial intelligence to drastically improve selfies. The company's Sensei branch, which focuses on AI and machine learning, released a teaser video showing a user transforming an ordinary picture with a range of advanced editing tools. One of these alters the depth of field, while another tool, called Liquify, makes the picture look like it was taken from a more flattering angle. A third feature allows users to easily mimic the lighting and effects used in another photo. In the teaser, the user browses through random images and opens two he likes, proceeding to experiment with the the different styles by applying them to a picture of himself in his camera roll.