The researcher hired by Toyota Motor Corp. to spearhead its robotics and artificial intelligence efforts says the automaker's production principles can be applied to build affordable helper robots for rapidly aging societies. Robot makers are struggling with the same scale challenges that the auto industry overcame with the "miracle" that occurred when Henry Ford developed the assembly line, according to Gill Pratt, the chief executive officer of Toyota Research Institute. Toyota's vaunted production system later showed how to make cars both more cheaply and reliably, despite mistake-prone humans' role in manufacturing, he said. "My thought is, if the Toyota production system can be applied to cars, maybe it can also be applied to robots, because they're quite similar," Pratt told reporters Friday in Tokyo. He's particularly sanguine about the prospects for devices that would help the elderly age where they live.

Devin Butts walked the tiled halls of the Pueblo Mall early one Friday morning in April, amazed at what he saw. The mall, the main shopping center for the city of Pueblo in southern Colorado, was larger than anything the 25-year-old was used to while living on the streets of quiet prairie towns in north central Texas. He wandered through T-shirt stores and schlocky gift shops, past American flag-adorned beer bongs and marijuana-emblazoned "Rocky Mountain High" shirts, not noticing how employees warily eyed his baggy jeans and the tattoos peeking out from the sleeves and collar of his Bob Marley T-shirt. Or maybe he'd learned from experience to ignore the looks. Butts inquired at shop after shop. Often he received an apologetic shake of the head. Sometimes he was told to fill out an application online, no easy feat for someone who didn't own a computer.

"By late spring, we plan to finalize Part 107, our small UAS rule, which will allow for routine commercial drone operations," Huerta said at an event in May, reiterating the proposed timeline. Pointing out that its drones require minimal human intervention, Amazon recommended that the rules "specifically permit the operation of multiple small UAS by a single UAS operator when demonstrated that this can be done safely." New safety rules in the Federal Aviation Administration Reauthorization Act of 2016, passed by the U.S. Senate in April, propose a pilot program to develop and test technologies to intercept or shut down drones when they are near airports. To avoid conflict between the variety of laws enacted by the states and federal regulations on drones, the bill has proposed that the FAA rules on drones get preemption over local and state laws.

The latest entrant into the new space race has a wingspan longer than the distance traveled by the Wright Brothers in their earliest flights. Its landing gear has a total of 28 wheels. And the local county had to issue special construction permits for the scaffolding needed to build what would be the world's largest airplane. Only someone like Paul Allen -- the billionaire co-founder of Microsoft, owner of the Seattle Seahawks, dreamer and space enthusiast -- might attempt to build something like this: a twin-fuselage behemoth as wide as a football field that, fully loaded, would weigh 1.3 million pounds, be powered by six 737 engines and have 60 miles of wiring coursing through it. Called Stratolaunch, the plane would be bigger than Howard Hughes' famed Spruce Goose, which flew once, in 1947. But Allen's creation comes as the space industry is being disrupted by entrepreneurs, such as Elon Musk, Jeff Bezos and Richard Branson, who like him, aim to revolutionize space travel.

In the midst of a continuing refugee crisis across much of the globe, June 20 marks World Refugee Day, an occasion that seeks to raise awareness for the plight of refugees across the world. And thanks to a partnership between Blippar, the augmented reality and artificial intelligence company, and UN refugee agency UNHCR, that awareness is going digital. Currently, the Blippar app allows people to "blipp," or scan objects they want to learn more about, thereby accessing informational or entertaining content about the world around them. As part of the new campaign, Blippar is asking users to show their support for refugees by blipping their hands. This scan of support translates into an instant signature on the UNHCR #WithRefugees petition, which requests that national governments act with solidarity and shared responsibility when it comes to the migrant crisis.

It's not all that easy to call KnuEdge a startup. Created a decade ago by Daniel Goldin, the former head of the National Aeronautics and Space Administration, KnuEdge is only now coming out of stealth mode. It has already raised 100 million in funding to build a "neural chip" that Goldin says will make data centers more efficient in a hyperscale age. Goldin, who founded the San Diego, California-based company with the former chief technology officer of NASA, said he believes the company's brain-like chip will be far more cost and power efficient than current chips based on the computer design popularised by computer architect John von Neumann. In von Neumann machines, memory and processor are separated and linked via a data pathway known as a bus.

This paper presents a novel kernel-based generative classifier which is defined in a distortion subspace using polynomial series expansion, named Kernel-Distortion (KD) classifier. An iterative kernel selection algorithm is developed to steadily improve classification performance by repeatedly removing and adding kernels. The experimental results on character recognition application not only show that the proposed generative classifier performs better than many existing classifiers, but also illustrate that it has different recognition capability compared to the state-of-the-art discriminative classifier - deep belief network. The recognition diversity indicates that a hybrid combination of the proposed generative classifier and the discriminative classifier could further improve the classification performance. Two hybrid combination methods, cascading and stacking, have been implemented to verify the diversity and the improvement of the proposed classifier. Keywords: Distortion feature space, kernel-based generative classifier, hybrid classification, deep belief nets, character recognition 1. Introduction Learning and inference are two important aspects for any machine learning application.

Many real-world relations can be represented by signed networks with positive and negative links, as a result of which signed network analysis has attracted increasing attention from multiple disciplines. With the increasing prevalence of social media networks, signed network analysis has evolved from developing and measuring theories to mining tasks. In this article, we present a review of mining signed networks in the context of social media and discuss some promising research directions and new frontiers. We begin by giving basic concepts and unique properties and principles of signed networks. Then we classify and review tasks of signed network mining with representative algorithms. We also delineate some tasks that have not been extensively studied with formal definitions and also propose research directions to expand the field of signed network mining.

Where does true power reside? Is it waving at you from a stage-lit, Presidentially-sealed podium? Or tucked away inside a billionaire's wallet? Can you smell it in a mahogany-clad clubroom at Yale in the smoke of a Bonesman's cigar, or catch a glimpse of its dark feathers perching on the advisory council of a transnational bank? One thing we know for sure: the nature and location of power is changing, and the agents of that change are the Californian technology companies that have the taken the 21st century by the throat.

There's been a lot of handwringing about the algorithms driving what we see related to political news. First, a month ago, there was concern that Facebook's news feed results were biased against conservative news, and this week, there's concern that Google favors Hillary Clinton in its autocomplete suggestions in its search engine. The video shows that Google seems to have suppressed the appearance of "Hillary Clinton indictment" in favor of "Hillary Clinton India," even though data shows people search for information on Clinton's indictment more than information on Clinton and India. It points out that the executive chairman of Google's parent company, Eric Schmidt, is a big Clinton supporter and that Google has many ties to her as well.) Search engines and algorithms decide what's relevant on these sites in very complicated ways, and the public generally doesn't know when it gets tweaked. Generally speaking, people want artificial intelligence.