Since their introduction more than a decade ago, smartphones have been equipped with cameras, allowing users to capture images and video without carrying a separate device. Thanks to the use of computational photographic technologies, which utilize algorithms to adjust photographic parameters in order to optimize them for specific situations, users with little or no photographic training can often achieve excellent results. The boundaries of what constitutes computational photography are not clearly defined, though there is some agreement that the term refers to the use of hardware such as lenses and image sensors to capture image data, and then applying software algorithms to automatically adjust the image parameters to yield an image. Examples of computational photography technology can be found in most recent smartphones and some standalone cameras, including high dynamic range imaging (HDR), auto-focus (AF), image stabilization, shot bracketing, and the ability to deploy various filters, among many other features. These features allow amateur photographers to produce pictures that can, at times, rival photographs taken by professionals using significantly more expensive equipment.

Our USP in the PR market is to research to find the next influential technology and business leader who can support POC data to the media. In today's digital thunderstorm of news, publications, are more than ever, reliant on the principles of journalism. That is why we are excited to announce we have been nominated for Best Integrated Agency in the 2019 Prolific London Awards. Our mission to create dynamic client campaigns through digital innovation, keeps us at the forefront of leading business and technology media conversations and we are proud to share this nomination with our dedicated international team. Our work with UK based WAN Data Acceleration company Bridgeworks Ltd., has produced a thriving external communications strategy to attract multi-million dollar business contracts in global markets like the US, Europe and South Africa.

In the lead-up to the 2016 election, very few predicted the degree to which online misinformation would disrupt the democratic process. Now, as we edge closer to 2020, there is a heightened sense of vigilance around new threats to truth in our already fragile information ecosystem. At the top of the list of concerns is no longer Russian bots, but deepfakes, the artifical intelligence-manipulated media that can make people appear to do or say things that they never did or said. The threat is being taken so seriously that last Thursday, the House intelligence committee held Congress's first hearing on the subject. In his opening remarks, Representative Adam Schiff, the committee chairman, talked of society being "on the cusp of a technological revolution" that will qualitatively transform how fake news is made.

There are many never-ending debates between Republicans and Democrats. Impeach vs. don't impeach; capital punishment vs. life in prison; wall vs. no wall; legalizing marijuana vs. not; self-driving cars vs. human drivers; Red Sox vs. Yankees; takeout vs. home-cooked; or Gone With the Wind vs. any other movie. All of these issues are stunningly important, right up to the second where cataclysm falls and creates a nightmare scenario that so many fear. That cataclysm is a complete loss of electricity and every mode of convenience and survival we take for granted. IS NORTH KOREA'S EMP THREAT REAL OR'SOMETHING OUT OF A JAMES BOND MOVIE'?

Abstract: A surprising property of word vectors is that word analogies can often be solved with vector arithmetic. However, it is unclear why arithmetic operators correspond to non-linear embedding models such as skip-gram with negative sampling (SGNS). We provide a formal explanation of this phenomenon without making the strong assumptions that past theories have made about the vector space and word distribution. Our theory has several implications. Past work has conjectured that linear substructures exist in vector spaces because relations can be represented as ratios; we prove that this holds for SGNS.

While populist politicians lower the standards of public discourse and cynically ignore science and shun data-driven debate, Azeem reminds us each week in Exponential View what the curious mind can learn.

Hey guys, i am writing a thesis and the topic is about using AI / ML for data analysis. I was wondering if you guys maybe know of any scientific paper that puts those terms in place? How are AI / ML / DM connected and the differences among them? The source has to be kind of scientific.

I, Robot was first released to theaters back in 2004. In it, the movie's filmmakers paint a fictional future (2035) where humanoid robots serve humanities needs. Our beloved Fresh Prince of Bel Air superstar is cast as a Chicago police detective named Del Spooner. Del hates robots with a deep skepticism after his experience with one that was unable to navigate a moral conundrum. Throughout the film, he condescends to these mechanical stewards for being unable to empathize and emote the way he believes only humans can. In one memorable scene, Del proclaims defiantly that robots are incapable of writing a symphony, or turning a canvas into a beautiful masterpiece.

North Korea is reforming education at universities to place greater emphasis on artificial intelligence, according to state media. Pyongyang's Workers' Party newspaper Rodong Sinmun reported Sunday Pyongyang University of Computer Science is changing its computer-programming department into a department for the study of AI. The goal is to improve the quality of school courses so classes on AI are more readily available in the department, according to the report. PyongyangUniversity of Computer Science has decided to improve artificial intelligence education because AI is a "key technology in the information industry," the Rodong article said. The university is developing the new program following directives from Kim Jong Un, issued at the fourth plenum of the seventh party central committee meeting in April, state media said.

Deepfakes have only been around for a few years; the first known videos, posted to Reddit in 2017, featured celebrities' faces swapped with those of porn stars. Shales got interested in making them himself early this year, and in February released his first deepfake: in it, he plastered the face of actor Nicolas Cage onto Elon Musk's body to make it appear as if Cage, rather than Musk, was smoking marijuana during a podcast interview with comedian Joe Rogan. Shales admits it isn't a great video; the resulting face is more of a morph than a swap, he said. And the voice is still unmistakably Musk's. But Shales kept going and quickly got better.