There was a time when if anyone needed any news, he or she would wait for the next-day newspaper. However, with the growth of online newspapers who update news almost instantly, people have found a better and faster way to be informed of the matter of his/her interest. Nowadays social-networking systems, online news portals, and other online media have become the main sources of news through which interesting and breaking news are shared at a rapid pace. However, many news portals serve special interest by feeding with distorted, partially correct, and sometimes imaginary news that is likely to attract the attention of a target group of people. Fake news has become a major concern for being destructive sometimes spreading confusion and deliberate disinformation among the people.

There's something soothing about how rubbish Google's new predictive email tools are – if AI can't work out what you want to tell your accounts department, then it won't be organising a Terminator-style insurrection any time soon. So what hope does AI have for composing music, if bland office missives are too creatively challenging? California-based electronic composer Holly Herndon considers this moment of slowly emergent machine learning on her third album. Alongside the musicians in her ensemble is Spawn, an AI she created with husband Mat Dryhurst and developer Jules LaPlace, that listened to what the group was composing and mimicked it to create music of its own. It's not always clear which bits are Spawn-created, but Herndon obviously has the final say over how its contributions are used – and indeed, the whole album feels more like an announcement of human authority rather than a capitulation to machines.

A photo storage app that offers users "free, unlimited private backup of all your life's memories" has been secretly using customers' private snaps to train and sell facial recognition software. As detailed in a report from NBC News, the startup Ever launched as a simple cloud storage business in 2013, but pivoted to become a facial recognition technology vendor in 2017 after realizing that a photo app "wasn't going to be a venture-scale business." Customers, though, were not informed of this change -- or how their photographs and videos are now being used. The company's original 2,500-word privacy policy stated that facial recognition helped "organize" users files, letting them group together images of the same individual. The only acknowledgement that this data was also being used to train AI was contained in a single, cryptic line: "Your files may be used to help improve and train our products and these technologies."

Voice recordings captured by Amazon's Alexa can be deleted but the automatically produced transcriptions remain in the company's cloud, according to reports. After Alexa hears its'wake' word, the smart assistant starts listening and transcribing everything it hears. All the voice commands said to the virtual assistant can be deleted from the central system, but the company still has the the text logs, according to CNET. This data is kept on its cloud servers, with no option for users to delete it, but the company claims it is working on ways to make the data inaccessible. Amazon workers are listening to private and sometimes disturbing voice recordings to improve the voice-assistants understanding of human speech.

Thanks to the Big Data revolution and increasing computing capacities, Artificial Intelligence (AI) has made an impressive revival over the past few years and is now omnipresent in both research and industry. The creative sectors have always been early adopters of AI technologies and this continues to be the case. As a matter of fact, recent technological developments keep pushing the boundaries of intelligent systems in creative applications: the critically acclaimed movie "Sunspring", released in 2016, was entirely written by AI technology, and the first-ever Music Album, called "Hello World", produced using AI has been released this year. Simultaneously, the exploratory nature of the creative process is raising important technical challenges for AI such as the ability for AI-powered techniques to be accurate under limited data resources, as opposed to the conventional "Big Data" approach, or the ability to process, analyse and match data from multiple modalities (text, sound, images, etc.) at the same time. The purpose of this white paper is to understand future technological advances in AI and their growing impact on creative industries. This paper addresses the following questions: Where does AI operate in creative Industries? What is its operative role? How will AI transform creative industries in the next ten years? This white paper aims to provide a realistic perspective of the scope of AI actions in creative industries, proposes a vision of how this technology could contribute to research and development works in such context, and identifies research and development challenges.

In this paper we survey the methods and concepts developed for the evaluation of dialogue systems. Evaluation is a crucial part during the development process. Often, dialogue systems are evaluated by means of human evaluations and questionnaires. However, this tends to be very cost and time intensive. Thus, much work has been put into finding methods, which allow to reduce the involvement of human labour. In this survey, we present the main concepts and methods. For this, we differentiate between the various classes of dialogue systems (task-oriented dialogue systems, conversational dialogue systems, and question-answering dialogue systems). We cover each class by introducing the main technologies developed for the dialogue systems and then by presenting the evaluation methods regarding this class.

A self-driving robot is being trialled in a Ford manufacturing plant in Spain that can overcome obstructions and carry cargo. The robot, similar in appearance to the Wall-E trash-crushing robot from Pixar, has been nicknamed'Survival' and was developed by Ford's own engineers. It uses Light Detection and Ranging (LiDAR) technology to visualise its surroundings and guides itself autonomously. Survival's body includes an automated shelf with 17 drawers of different sizes that holds various materials and tools. A self-driving robot'Survival' (pictured) is being trialled in a Ford manufacturing plant in Spain to overcome obstructions and move cargo around Its makers say that the robot is designed to work alongside human employees and not replace them.

UBS Card Center, which processes roughly 25 percent of all credit cards in Switzerland, has won the Security Innovation of the Year award at the Retail Banker International Awards, presented in London. UBS Card Center's fraud team used the the latest artificial intelligence and machine learning capabilities in the FICO Falcon Platform to stop 84 percent more fraudulent transactions last year than in 2015. The need to optimise costs in the face of fierce competition meant UBS Card Center had to keep fraud write-offs to the very minimum. They were facing new fraud attack volumes but needed to uphold the highest standards for customer experience and satisfaction. This required the use of machine learning to minimize consumer interruptions while investigating more potential cases of fraud, all without adding staff.

Recent years have seen the rise of artificial intelligence (AI) adoption in the marketing and media industries. While often a buzzword for marketers to make their work sound more exciting, the real benefits to brands center on the use of machines to carry out deep learning and make humans' jobs easier. AI is certainly growing in notoriety, with up to 85% of UK businesses said to be set to invest in the field by 2020. In addition, studies have shown the gradual uptake of soft robotics in the home – 23-32% of households in the US and 18% of households in the UK have at least one voice assistant, the most popular models being either Amazon's Alexa or Google Assistant. Moreover, Apple claimed in 2018 that a staggering 500 million of its users now frequently make use of Siri, its pre-installed voice assistant.

Gloves which transform hand gestures into music by using sensors will soon be available to the public. Scientists have been working for ten years to develop the Mi.Mu gloves which translate movements of the hand into complex music compositions. The project is the brainchild of Grammy-award winning artist Imogen Heap, who spearheaded the project along with a team of tech specialists and textile designers. Wearers can perform drum beats with the beat of a fist or the flick of a wrist along with vocal fades and whole string ensembles. Only a handful of specially selected musicians have had access to the technology until now including pop star Ariana Grande, who performed wearing the gloves on her 2015 world tour.