From left, Nikhil Srivastava, Adam Marcus, and Daniel Spielman shortly after completing the proof of the Kadison-Singer problem. A solution to a problem in mathematics that lingered unsolved for more than 50 years could help deliver faster computer algorithms to many problems in physics and signal processing. However, it may take years for mathematicians to fully digest the result, which was first published online three years ago. The roots of the problem defined by Richard Kadison and Isadore Singer in the late 1950s lie in attempts to give the physics of quantum mechanics a footing in abstract mathematics. The concept it deals with traces back to Werner Heisenberg's initial work on quantum mechanics.

We'll look at some of the most important papers that have been published over the last 5 years and discuss why they're so important. The first half of the list (AlexNet to ResNet) deals with advancements in general network architecture, while the second half is just a collection of interesting papers in other subareas. The one that started it all (Though some may say that Yann LeCun's paper in 1998 was the real pioneering publication). This paper, titled "ImageNet Classification with Deep Convolutional Networks", has been cited a total of 6,184 times and is widely regarded as one of the most influential publications in the field. Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton created a "large, deep convolutional neural network" that was used to win the 2012 ILSVRC (ImageNet Large-Scale Visual Recognition Challenge). For those that aren't familiar, this competition can be thought of as the annual Olympics of computer vision, where teams from across the world compete to see who has the best computer vision model for tasks such as classification, localization, detection, and more. The next best entry achieved an error of 26.2%, which was an astounding improvement that pretty much shocked the computer vision community. Safe to say, CNNs became household names in the competition from then on out. In the paper, the group discussed the architecture of the network (which was called AlexNet).

Dr. Kanade and DENSO have worked together from 2002-2009 on a joint research of image recognition technology. In addition, he has been a lecturer of DENSO's high talent program organized by DENSO E&TS Training Center. DENSO expects to use artificial intelligence technology in more areas of its business. Currently, it uses machine learning in its sensing technologies and applies them to its sensing products. DENSO has developed technologies and products to help create a society free from road traffic accidents.

A consortium of companies, including DigitalGlobe, CosmiQ Works and NVIDIA, today launched SpaceNet, an open-data initiative aimed at improving image analysis tools. The data are being hosted by Amazon Web Services as part of a partnership. With an increase in the number of CubeSats, high-resolution satellites and drones of every shape and size, we have accumulated petabytes of imagining data that can be processed with analytics to solve myriad problems. DigitalGlobe, which operates imaging satellites, has built out partnerships with companies like Facebook to target rural villages with internet access using photography as a guide. Satellite imaging has also been analyzed to help the Navy find Somali pirates, crowdsource the hunt for Malaysia Airlines flight 370 and identify deforestation zones.

A young woman walks past the headquarters of Square and Uber in downtown San Francisco. SAN FRANCISCO -- Silicon Valley's most valuable startup is struggling to turn a profit. Uber lost 1.3 billion in the first half of the year, according to Bloomberg report citing unnamed sources privy to a conference call with investors of the privately held ride-hailing service. The company has raised 16 billion to help fuel its rapid expansion to 76 countries, and was last valued at nearly 70 billion. It's self-driving or bust for Uber CEO; the IPO can wait Gautam Gupta, Uber's head of finance, told listeners on last Friday's quarterly call that the company lost 520 million in the first quarter of 2016, and 750 million in the second quarter, according to the report.

Robots have been illustrated as humans' mechanical servants, but experts are determined to turn these cyborgs into emotional synthetic beings. Now, researchers brought the two of the world's most advanced robots together to test their reactions by showing them the trailer for the horror flick'Morgan'. Edi vocalizes its fear with phrases such as'Oh no, I can't watch' and although FACE is silent, it offers its'thoughts' by eerily moving its eyes, mouth and head. Edi (Electronic Deceptive Intelligence) is the brainchild of magicLab.ny, Edi is a fitted with a range sensors, has long robotic arms and a screen that displays a cartoon face.

A dream is successions of images, ideas, emotions, and sensations that usually occurs involuntarily in the mind during certain stages of sleep.[1] The content and purpose of dreams are not definitively understood, though they have been a topic of scientific speculation, as well as a subject of philosophical and religious interest, throughout recorded history. The scientific study of dreams is called oneirology.[2] Dreams mainly occur in the rapid-eye movement (REM) stage of sleep--when brain activity is high and resembles that of being awake. REM sleep is revealed by continuous movements of the eyes during sleep. At times, dreams may occur during other stages of sleep. However, these dreams tend to be much less vivid or memorable.[3] The length of a dream can vary; they may last for a few seconds, or approximately 20–30 minutes.[3] People are more likely to remember the dream if they are awakened during the REM phase. The average person has three to five dreams per night, and some may have up to seven;[4] however, most dreams are immediately or quickly forgotten.[5] Dreams tend to last longer as the night progresses. During a full eight-hour night sleep, most dreams occur in the typical two hours of REM.[6] In modern times, dreams have been seen as a connection to the unconscious mind. They range from normal and ordinary to overly surreal and bizarre. Dreams can have varying natures, such as being frightening, exciting, magical, melancholic, adventurous, or sexual. The events in dreams are generally outside the control of the dreamer, with the exception of lucid dreaming, where the dreamer is self-aware.[7]

NuTonomy, an autonomous taxi startup, has been working with the Singapore government in developing self-driving technology for quite some time now. They have been rather silent about progress, up until they broke it with a big reveal. Beating competitors like Uber and Google, NuTonomy has been able to place self-driving taxis on Singaporean roads for public, revealing the service earlier today. The public trials are starting small--six vehicles for now, with up to a dozen by year's end. The cars, mostly Renault Zoe and Mitsubishi i-MiEV electric cars, are debuting in the (primarily tech) business district area, one-north.

Uber may be gaining riders. It may be on the cutting edge of developing self-driving car technology. That's according to details given by Gautam Gupta, Uber Technologies Inc.'s finance head, who in a recent conference call with Uber investors said the ride-hailing giant lost at least 1.27 billion during the first half of this year. In a report Thursday, Bloomberg cited "people familiar with the matter" as saying Gupta gave the money-losing score last week as part of an update that the privately held San Francisco company gives to its investors and shareholders every three months. According to those sources, Uber lost about 520 million before interest, taxes, depreciation and amortization during the first quarter of the year, and its second-quarter losses ballooned to more than 750 million.

WORLD superpowers are engaged in a feverish "arms race" to develop the first killer robots completely removed from human control, the Sun Online can reveal. These machines will mark a dramatic escalation in computer AI from the drones and robots currently in use, all of which still require a human to press the "kill button". In a series of exclusive interviews, leading experts told The Sun Online machines making life or death decisions will likely be developed within the next 10 years. Fears are now growing about the implications of creating such smart machines, as are concerns they will fall into the hands of terrorist groups such as ISIS. Locked in this new race for military supremacy is Britain, the US, China, Russia and Israel – all of which have robot programmes of varying advancement.