The hottest news last week came out of the Intel INTC Developer Forum (IDF) 2016. But Facebook's FB decision to open source its artificial intelligence (A.I.) research, Alphabet's GOOGL Duo and Oracle ORCL asking for a retrial in its case against Alphabet over Java also made headlines. This was a mega event where Intel talked about everything but PCs. The company seems to think that the next big thing driving chip growth for PCs is VR capabilities (since it's a computationally intensive exercise, it's a good way to sell its chips). To that end, it announced Project Alloy, a reference design for cordless headgear that merges the AR and VR worlds and runs on Microsoft's MSFT Windows Holographic OS.

Visualise and explore the work of 44,579 superstar Researchers from 8,437 Research Institutions in 118 countries on every sport in the Olympics 2016 Research Dashboard by wizdom.ai, the world's largest research knowledge graph powered by big data analytics, machine learning and artificial intelligence. With all eyes set on the Rio Olympics 2016, the world witnesses the greatest display of human strength, endurance, dexterity and performance by participants from across the globe. Everyday over the course of the two weeks, over 11,400 athletes compete for the gold medal in their game. They have undertaken intensive training for months and years to reach the epitome of physical fitness and to optimise their performance, making every millisecond count. Backing the Olympians that make it to the podium in every field, all along through their training there are thousands of researchers around the world who have extensively studied the games to raise the bar for human performance.

A day in the life of a Star Citizen!! My Artificial Intelligence and I grow a special bond while we are away on a special retrieval mission. JavaScript is currently disabled, this site works much better if youenable JavaScript in your browser. An exhibition dedicated to art stars Andy Warhol and Ai Weiwei guarantees a visual and conceptual feast. But two other qualities make "Andy Warhol/ Ai Weiwei" one of the finest exhibitions The Andy Warhol Museum has mounted in its illustrious 22 years.

In the words of Seth Godin, "Marketing is no longer about the stuff that you make, but about the stories you tell." Until now, marketers had two choices: they could either pick personalized, or scalable, but not both; they could opt for inefficient manual ways of personalized engagement, or choose static digital marketing that scaled but took a one-size-fits-all approach. Machine intelligence is changing that. AI-driven brand storytelling intelligently adapts to a consumer's unique preferences and behavior to deliver truly personalized stories at scale, by combining the human elements of storytelling with machine-powered personalization. Traditional human-driven storytelling follows a preset pattern.

Your meat may soon be prepared by a robot butcher. Sadly, it won't be an android in a striped apron behind the meat counter at your local store, asking you in a metallic voice how you'd like your steak cut today, sir/ma'am? These robots will replace workers at meat-packing factories, and not a moment too soon. The meat-packing company JBS is part of the world's largest beef processor, and in its Greeley, Colorado plant, it is experimenting with robots on the production line. In order to automate the processing of the meat, JBS has invested in a New Zealand robot company called Scott Technology.

Since Facebook announced a bot developer framework and distribution platform in April, the media has been hyperventilating over its impact. I know we're a big part of this, and I don't apologize. Bots, as a new (or revisited) paradigm for human-computer interaction, are here, and we're observing hundreds of companies, billions in funding, and thousands of bots flying in your browsers and messaging apps. You can download the full landscape here, and more rich data is coming soon. This article is part of the Bots Landscape.

WHEN it comes to following the money, the authorities have their work cut out. Every year, criminals are thought to launder more than 1.5 trillion worldwide. Which is why Australia's financial intelligence agency is turning to AI for help. In Australia, the scale of the problem could amount to some US 4.5 billion annually. There, the task of cracking down on illegally obtained funds falls to the Australian Transaction Reports and Analysis Centre (AUSTRAC).

Researchers at IBM Australia will play a role in building a "cognitive assistant" the IT giant hopes will help ophthalmologists diagnose eye conditions from medical image data. The company recruited a batch of research interns to lend their expertise to the project via the IBM Australia research lab in Melbourne. The interns were slated to begin work last month. "IBM research is building the next generation cognitive assistant with advanced multi-media capability for early detection and management of diseases that can affect both the eyes and overall health of a person," the firm said in a now closed advertisement. "We are building the image-guided informatics system that acts as a filter to extract the essential clinical information ophthalmologists need to know about a patient for diagnosis and treatment planning. "This filtering employs sophisticated medical image processing, pattern recognition and machine learning techniques guided by advanced clinical knowledge.

You could say the job of the sports fan is not only to cheer but to jeer. American sprinter Justin Gatlin, who has been suspended in the past for doping, entered Olympic Stadium before his 100-meter race to resounding boos. Competitors are also a part of the ritual. After winning a gold medal, American swimmer Lilly King wagged her finger to mock her Russian competitor Yulia Efimova, who previously had been suspended for doping. To philosopher Julian Savulescu, the boos and censures ring with, if not outright hypocrisy, short memory spans. "Caffeine is a performance-enhancer," he says. "It used to be banned and now it's allowed." Savulescu, a native Australian, who directs the Uehiro Center for Practical Ethics at the University of Oxford, has been one of the loudest critics in recent years of doping policies. Sports governing bodies have had restrictions in place for decades, he says, and have had little effect. Athletes will always find a way to beat the system, he says, and like most sports fans, Savulescu laments that doping creates an uneven playing field. But unlike most fans, Savulescu thinks the solution is to make doping legal in sports.

Multi-view spectral clustering, which aims at yielding an agreement or consensus data objects grouping across multi-views with their graph laplacian matrices, is a fundamental clustering problem. Among the existing methods, Low-Rank Representation (LRR) based method is quite superior in terms of its effectiveness, intuitiveness and robustness to noise corruptions. However, it aggressively tries to learn a common low-dimensional subspace for multi-view data, while inattentively ignoring the local manifold structure in each view, which is critically important to the spectral clustering; worse still, the low-rank minimization is enforced to achieve the data correlation consensus among all views, failing to flexibly preserve the local manifold structure for each view. In this paper, 1) we propose a multi-graph laplacian regularized LRR with each graph laplacian corresponding to one view to characterize its local manifold structure. 2) Instead of directly enforcing the low-rank minimization among all views for correlation consensus, we separately impose low-rank constraint on each view, coupled with a mutual structural consensus constraint, where it is able to not only well preserve the local manifold structure but also serve as a constraint for that from other views, which iteratively makes the views more agreeable. Extensive experiments on real-world multi-view data sets demonstrate its superiority.