Once upon a time, media content had a price. To consume it, you had to pay for it. Years passed, and with advances in technology along came digital piracy. The problem grew significantly with Internet making its way into everyone's home and then expanded exponentially when the same technology was made accessible from everyone's hands. Some media domains, such as live sports, only later began being exploited by modern day pirates.

Almost half of HR leaders say predictive analytics and machine learning would improve their HR function, according to a Censuswide survey commissioned by MHR Analytics. Only one in ten (11%) of respondents currently use advanced analytics techniques, but the research indicates a clear desire among HR professionals to implement predictive analytics to upgrade and enhance almost all aspects of their role. Laura Timms, MHR Analytics' Product Strategy Manager said: "The results mirror the conversations we are having with our 750 customers – there is a real step-change in how HR professionals see their roles evolving and becoming more sophisticated. "While most organizations still use spreadsheet-based data, they are aware that harnessing predictive analytics and machine learning tools will enable them to spend much less time on admin and manual tasks and become valuable and efficient business strategists." "As we approach the next decade, it's clear that organizations in general, as well as the HR experts employed within them, are thinking about how they can climb the data maturity scale to remain competitive, using HR analytics, workforce planning systems, and even AI."

NEW YORK - Google on Thursday released new details about its cloud streaming video game service Stadia, which will be available in 14 countries starting in November. For the launch, Google will sell its "founders edition bundle" hardware pack for $129, with a monthly subscription price of $9.99. In Europe, the price will be €129 and €9.99 per month. The new gaming platform aims for a Netflix-style subscription that enables players to access games on any device, powered by the cloud. That could disrupt the huge gaming industry by allowing users to avoid consoles and game software on disc or download.

Actors who flub dialogue may become less of a bane to producers thanks to an AI that allows such to be edited just by retyping a transcript of their lines. The software works by combining existing clips with digital face models to create new footage that is lip-synced to match the desired edits. The technology could have the potential to be abused to create more creepy deepfake videos that make people appear to say things that they never did. However, the researchers say that these risks are more than outweighed by the benefits of the program, which could also cheaply localise or translate content. At present, the technique only works on videos with a forward-facing interview that are of a particular length - 40 minutes or over.

We are excited to announce that, to help us get there, we have acquired Fabula AI (Fabula), a London-based start-up, with a world-class team of machine learning researchers who employ graph deep learning to detect network manipulation. Graph deep learning is a novel method for applying powerful ML techniques to network-structured data. The result is the ability to analyze very large and complex datasets describing relations and interactions, and to extract signals in ways that traditional ML techniques are not capable of doing. Twitter has been criticized for the amount of fake news and misinformation that easily spreads on its platform. Though the company has taken steps to combat such misinformation in recent years, fake news is still a major problem for the social network.

To provide more accurate, diverse, and explainable recommendation, it is compulsory to go beyond modeling user-item interactions and take side information into account. Traditional methods like factorization machine (FM) cast it as a supervised learning problem, which assumes each interaction as an independent instance with side information encoded. Due to the overlook of the relations among instances or items (e.g., the director of a movie is also an actor of another movie), these methods are insufficient to distill the collaborative signal from the collective behaviors of users. In this work, we investigate the utility of knowledge graph (KG), which breaks down the independent interaction assumption by linking items with their attributes. We argue that in such a hybrid structure of KG and user-item graph, high-order relations --- which connect two items with one or multiple linked attributes --- are an essential factor for successful recommendation. We propose a new method named Knowledge Graph Attention Network (KGAT) which explicitly models the high-order connectivities in KG in an end-to-end fashion. It recursively propagates the embeddings from a node's neighbors (which can be users, items, or attributes) to refine the node's embedding, and employs an attention mechanism to discriminate the importance of the neighbors. Our KGAT is conceptually advantageous to existing KG-based recommendation methods, which either exploit high-order relations by extracting paths or implicitly modeling them with regularization. Empirical results on three public benchmarks show that KGAT significantly outperforms state-of-the-art methods like Neural FM and RippleNet. Further studies verify the efficacy of embedding propagation for high-order relation modeling and the interpretability benefits brought by the attention mechanism.

Then, the stance detection component detects the With the rapid increase of fake news in social media stance/perspective of each relevant document with and its negative influence on people and public respect to the claim, typically modeled using labels opinion (Mihaylov et al., 2015; Mihaylov and such as agree, disagree and discuss. This Nakov, 2016; Vosoughi et al., 2018), various organizations component further provides rationales at the sentence are now performing manual fact checking level for explaining model predictions (see on suspicious claims.

Today, customer exchanges with Alexa are generally either one-shot requests, like "Alexa, what's the weather?", or interactions that require multiple requests to complete more complex tasks. An Alexa customer planning a family movie night out, for example, must interact independently with multiple skills to find a list of local theaters playing a particular movie, identify a restaurant near one of them, and then purchase movie tickets, book a table, and perhaps order a ride. The cognitive burden of carrying information across skills -- such as time, number of people, and location -- rests with the customer. "We envision a world where customers will converse more naturally with Alexa: seamlessly transitioning between skills, asking questions, making choices, and speaking the same way they would with a friend, family member, or co-worker," says Rohit Prasad, Alexa vice president and head scientist. "Our objective is to shift the cognitive burden from the customer to Alexa."

To thwart sophisticated methods of altering photos and video, researchers at the NYU Tandon School of Engineering have demonstrated an experimental technique to authenticate images throughout the entire pipeline, from acquisition to delivery, using artificial intelligence (AI). In tests, this prototype imaging pipeline increased the chances of detecting manipulation from approximately 45 percent to more than 90 percent without sacrificing image quality. Determining whether a photo or video is authentic is becoming increasingly problematic. Sophisticated techniques for altering photos and videos have become so accessible that so-called "deep fakes"--manipulated photos or videos that are remarkably convincing and often include celebrities or political figures--have become commonplace. Pawel Korus, a research assistant professor in the Department of Computer Science and Engineering at NYU Tandon, pioneered this approach.

The Google Stadia controller used for playing games on Google's video game streaming service. The Stadia controller (priced separately at $69) uses WiFi to connect directly to the game running in Google's video game streaming service .the Google has shed some more clarity on its upcoming cloud-based video game service: an entry price, launch window and some of the games you will be able to play. Google's Stadia will become available in November with an entry price of $129.99 for the Founders Edition package (pre-order on Google's Stadia site), which includes a game controller, Chromecast Ultra streaming device and a three-month subscription. Cloud gaming promises to make it easier for consumers to play online games, as it sidesteps the need for pricey gaming PCs or console video game systems.