It was 2012, as something I've watched really killed me. It was not a movie in the cinema, nor an episode of a series. It was a short movie. There is happening more than in a blockbuster movie during these 7 minutes. A robot called KARA is about to be tested and initialized before being forwarded to Supply Chain and sold on the market. But shortly before it happens, KARA raises her voice.

Elon Musk is charismatic but also whimsical. Sometimes it's hard to know if Tesla's (TSLA) - Get Tesla Inc. Report chief executive officer is serious when he makes ostentatious claims and thunderous statements on Twitter, his favorite communication channel where he has more than 101.6 million followers as of time of writing. Is he provocative or simply ambitious when he announces that humans will be living and self-sufficient on Mars twenty to thirty years from now? "20 to 30 years from first human landing if launch rate growth is exponential," Musk said on July 15 to a question about the estimated timeframe for creating a self-sustaining civilization on Mars. "Assumes transferring 100k each rendezvous and 1M total people needed," the billionaire added. The history of outlandish claims by the richest man in the world has often shown that he really means what he says.

Chris Welty from Alphabet, Kumar Chellapilla from Amazon, Besmira Nushi from Microsoft, Markus Krause from Brainworks, Olga Megorskaya from Toloka, and Lora Aroyo from Google Research shared their views. Chris explains that human computation usually takes two forms -- explicit and implicit. Implicit refers to situations when data labeling is a by-product, for example when we stream movies, listen to music on YouTube, or do web searches. The system's algorithm learns about its users even though no data labeling as such takes place. On the other hand, more "traditional" forms of data labeling like crowdsourcing are explicit.

Telecom giant AT&T and Mountain View, California-headquartered AI cloud company H2O have jointly launched an artificial intelligence feature store for enterprises. The repository, available as a paid software platform, enables data scientists, developers, and engineers to discover, share, and reuse machine learning features to speed up their AI project deployments. According to the companies, it can be used for work on personalization and recommendation engines as well as models that are aimed at forecasting, as well as the optimization of dynamic pricing, supply chain, and logistics and transportation. The development comes as more and more organizations turn to AI implementation to generate actionable insights and predictions from a huge trove of data. AT&T originally had this solution in production use for network optimization, fraud prevention, tax calculations, predictive maintenance, among other things.

Future intelligent system will involve very various types of artificial agents, such as mobile robots, smart home infrastructure or personal devices, which share data and collaborate with each other to execute certain tasks.Designing an efficient human-machine interface, which can support users to express needs to the system, supervise the collaboration progress of different entities and evaluate the result, will be challengeable. This paper presents the design and implementation of the human-machine interface of Intelligent Cyber-Physical system (ICPS),which is a multi-entity coordination system of robots and other smart devices in a working environment. ICPS gathers sensory data from entities and then receives users' command, then optimizes plans to utilize the capability of different entities to serve people. Using multi-model interaction methods, e.g. graphical interfaces, speech interaction, gestures and facial expressions, ICPS is able to receive inputs from users through different entities, keep users aware of the progress and accomplish the task efficiently

Detroit: Become Human begins with a warning: "This is not a story, this is our future." Writer-director David Cage's follow-up to Heavy Rain and Beyond: Two Souls weaves a tale about robots attempting to transcend their programming. But rather being a thoughtful, philosophical examination of consciousness, Detroit, instead, is a tone-deaf look at race. In Cage's fictional future, the golden age of leisure that androids were supposed to unlock for humanity didn't happen. Instead, it's 2038, and a third of the US is out of work because robots took over the jobs typically done by blue-collar humans.

By 2038, robots have replaced people in most common jobs. Aside from a glowing circle that sits near their temple, they would be almost completely indistinguishable from the living, breathing people they were crafted to look like. It should come as no surprise, then, that it was only a matter of time until they begin doing things they haven't been programmed for -- slowly but surely gaining sentience and giving way to an uprising. Androids run the world, and humans are just living in it. That's what life is like in the city of Detroit 20 years in the future in Detroit: Become Human, a new game from studio Quantic Dream launching on May 25 for the PlayStation 4. Become Human, developed by the same studio responsible for cinematic adventure games Heavy Rain and Beyond Two Souls, centers on the lives of three androids: Kara, Markus, and Connor.

Through the increased availability of data and online connectivity through novel interfaces & APIs, we are faced with more opportunities than ever before. For instance, today, you can use many services to get data on purchases you'd like to make and suggestions on when the optimal time to make the purchase would be (e.g. However, soon, this operation may seem antiquated as artificial intelligence (AI) and assisting algorithms have become more prevalent and can make these decisions in your place. In imagining a future like this, will the balance of power shift toward the data owner and end-purchaser or will tool manufacturers and conduits be able to gain an upper hand? With consumer preferences for regained privacy and control, as well as new regulation such as the General Data Protection Regulation (GDPR), it's plausible to see more data held by the consumer and the consumer exercise more control over where their data is used.

You wouldn't know, turning into this nondescript street in Stockholm and padding up the stone steps to Minecraft HQ, that anything special was being made up here. The truth only becomes clear when you step through the door and discover the endless shelves filled with awards (including a Bafta) and the vast boxes of Minecraft merchandise piled in every corner. This is where they make what many regard as a digital version of Lego: a game that's been downloaded more than 100m times on PCs, consoles and smartphones since its launch in 2009. If you have children aged between six and 16, the chances are they're hooked on this strange, blocky pursuit. And the chances are you've asked yourself: why? To truly understand the appeal of Minecraft, you need to understand the studio behind it.