Media


Can AI win the war against fake news?

#artificialintelligence

It may have been the first bit of fake news in the history of the Internet: in 1984, someone posted on Usenet that the Soviet Union was joining the network. It was a harmless April's Fools Day prank, a far cry from today's weaponized disinformation campaigns and unscrupulous fabrications designed to turn a quick profit. In 2017, misleading and maliciously false online content is so prolific that we humans have little hope of digging ourselves out of the mire. Instead, it looks increasingly likely that the machines will have to save us. One algorithm meant to shine a light in the darkness is AdVerif.ai,


Music Generation with Azure Machine Learning

#artificialintelligence

This post is authored by Erika Menezes, Software Engineer at Microsoft. Using deep learning to learn feature representations from near-raw input has been shown to outperform traditional task-specific feature engineering in multiple domains in several situations, including in object recognition, speech recognition and text classification. With the recent advancements in neural networks, deep learning has been gaining popularity in computational creativity tasks such as music generation. There has been great progress in this field via projects such as Magenta, an open-source project focused on creating machine learning projects for art and music, from the Google Brain team, and Flow Machines, who have released an entire AI generated pop album. For those of you who are curious about music generation, you can find additional resources here.


Using Neuroscience To Disrupt Social Engineering

@machinelearnbot

In 1983, a curious teenager named David Lightman found a backdoor in a military computer system and very nearly caused the United States to start a nuclear war. If this sounds familiar, it isn't because it happened in real life. This was the plot of a movie called War Games, and it very realistically portrayed some common hacking techniques of the day like war dialing and phone phreaking. What was most surprising about this movie was that, unlike some science fiction movies, the problems it described were real and needed immediate solutions. But it would take five years for the first theoretical paper to be published on a term that would be eventually become well-known outside of the cybersecurity community: the firewall.


AI could save television advertising with advanced personalization

#artificialintelligence

Artificial intelligence is changing almost every aspect of modern life, and the television advertising industry is no exception. Thanks to more advanced methods of data collection, AI allows advertisers to tailor their content more effectively to relevant demographics through what's called "programmatic TV advertising." This advertising channel is set to be largely impacted by AI in coming years. The ad technology has been around on online platforms for a while and is now taking over the small screen. With this relatively new tactic and advanced AI capabilities, television advertisers can reach a whole new level of personalization in their attempts to reach viewers.


How Machine Learning Will Affect DJing Music Production - DJ TechTools

@machinelearnbot

Now they're creeping into music production, performance, and DJing, and making the formerly impossible possible. We grilled the experts on what machine learning can and will do to change the game of computer music. Should DJs and music producers welcome it as a liberator, or fear it as a usurper of your job behind the decks? Spoiler alert: You're going to want a better laptop. Every time you do a Google search or use Google Maps, Siri, Shazam, you benefit from artificial intelligence (AI) and machine learning.


Thomson Reuters big data Knowledge Graph delivers social network for finance

@machinelearnbot

Financial news giant Thomson Reuters has released its Knowledge Graph Feed, a way of instantly visualising the connections between lots of data sources, which it describes as "the first financial social network". The Knowledge Graph system is an open source, standardised data modelling system composed of Permanent Identifiers (PermID) which connect some two billion relationships. Geoffrey Horrell, director, Product Incubation Financial and Risk, Thomson Reuters, explained: "What we are delivering is like a social network but it's the first financial social network. So you can ask, what are the strategic relationships around the companies and people that you do business with; who are all the officers and directors, who are their suppliers, competitors, associates, affiliates. "People have talked about graphs but none of the content providers have really published all their data and all their taxonomies and definitions in this graph format before.


Predicting Political Bias with Python – Linalgo – Medium

#artificialintelligence

Recent scandals around fake news have spurred an interest in programmatically gauging the journalistic quality of an article. Companies like Factmata and Full Fact have received funding from Google, and Facebook has launched its "Journalism Project" earlier this year to fight the spread of fake stories in its feed. Discriminating between facts and fake information is a daunting task but often times, looking at the publisher is a good proxy to gauge the journalistic quality of an article. And while there is no objective metric to evaluate the quality of a newspaper, its overall quality and political bias is generally agreed upon (one can for example refer to https://mediabiasfactcheck.com/). In this article, we present a few techniques to automatically assess the journalistic quality of a newspaper.


?utm_content=buffer5fd36&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer

#artificialintelligence

Online fashion tech startup Vue.ai is selling technology that analyzes pieces of clothing and automatically generates an image of the garment on a person of any size, shape, or wearing any kind of shoes. Neural networks, the technology that GANs are built on, are an approximation of how our brain works: Millions of tiny, distributed neurons, processing data and passing them along to the next neuron. These networks are trained on thousands of images, and the neurons learn to distinguish different kinds of elbows, hips, and colors. Through trial and error, the two engineers figured out exactly the right neurons to alter the size, weight, or shape of a person, or the hardest part, the shoes they're wearing.


Artificial intelligence can say yes to the dress

#artificialintelligence

Online fashion tech startup Vue.ai is selling technology that analyzes pieces of clothing and automatically generates an image of the garment on a person of any size, shape, or wearing any kind of shoes. Neural networks, the technology that GANs are built on, are an approximation of how our brain works: Millions of tiny, distributed neurons, processing data and passing them along to the next neuron. These networks are trained on thousands of images, and the neurons learn to distinguish different kinds of elbows, hips, and colors. Through trial and error, the two engineers figured out exactly the right neurons to alter the size, weight, or shape of a person, or the hardest part, the shoes they're wearing.


AI is changing how you watch TV

#artificialintelligence

Recent breakthroughs in artificial intelligence and machine learning are helping Hollywood get even smarter about how it captures an audience, and the implications for your entertainment are staggering. Will artificial intelligence transform the entertainment industry? Entertainment leaders like Netflix tap into these massive pools of viewer preference data to build algorithms that recommend new viewing material, and these algorithms leverage AI to learn what you'll enjoy most. AI algorithms on major cable networks like HBO will likely recommend new shows in the same way that Netflix connects viewers to its library of titles, granting customized entertainment to a majority of viewers across all networks and providers.