CROWDSOURCING


'Terrain Of Magical Expertise' Kickstarter Funded In 48 Hours; Stretch Goals Revealed

International Business Times

The "Terrain of Magical Expertise" RPG is now a sure thing after its Kickstarter project reached its initial goal of $75,000 in just a span of 48 hours. Last Sunday, Niosi and his team launched the Kickstarter campaign for their 2D turn-based RPG that's based on a hit webseries of the same name. In the post, the creator, animator and writer revealed that the funding support for "TOME" video game really exceeded their expectation. The Kickstarter project for the "Terrain of Magical Expertise" video game is now fully funded.


Amazon has developed an AI fashion designer

#artificialintelligence

The effort points to ways in which Amazon and other companies could try to improve the tracking of trends in other areas of retail--making recommendations based on products popping up in social-media posts, for instance. For instance, one group of Amazon researchers based in Israel developed machine learning that, by analyzing just a few labels attached to images, can deduce whether a particular look can be considered stylish. An Amazon team at Lab126, a research center based in San Francisco, has developed an algorithm that learns about a particular style of fashion from images, and can then generate new items in similar styles from scratch--essentially, a simple AI fashion designer. The event included mostly academic researchers who are exploring ways for machines to understand fashion trends.


Face-reading AI will be able to detect your politics and IQ, professor says

#artificialintelligence

Michal Kosinski – the Stanford University professor who went viral last week for research suggesting that artificial intelligence (AI) can detect whether people are gay or straight based on photos – said sexual orientation was just one of many characteristics that algorithms would be able to predict through facial recognition. Kosinski, an assistant professor of organizational behavior, said he was studying links between facial features and political preferences, with preliminary results showing that AI is effective at guessing people's ideologies based on their faces. That means political leanings are possibly linked to genetics or developmental factors, which could result in detectable facial differences. Facial recognition may also be used to make inferences about IQ, said Kosinski, suggesting a future in which schools could use the results of facial scans when considering prospective students.


IBM aims to advance AI--and keep up with Google and Facebook--through an ambitious new project at MIT

@machinelearnbot

A new $240 million center at MIT may help advance the field of artificial intelligence by developing novel devices and materials to power the latest machine-learning algorithms. The project, announced by IBM and MIT today, will research new approaches in deep learning, a technique in AI that has led to big advances in areas such as machine vision and voice recognition. But it will also explore completely new computing devices, materials, and physical phenomena, including efforts to harness quantum computers--exotic but potentially very powerful new machines--to make AI even more capable. And it will study the economic impact of artificial intelligence and automation, a hugely significant issue for society.


Why AI and Crowdfunding Make Perfect Partners.

#artificialintelligence

Crowdfunding sits very much in the financial services industry – an industry that AI already features in, pretty heavily. Not only have developments in AI helped financial services firms manage huge swathes of data, efficiently and diligently. Where traditional investment avenues might be closed to some fresh – but risky – AI possibilities, Crowdfunding platforms, that offer investors the option of risking only a small amount of equity, are a natural fit. As you can see, the possibilities of AI and Crowdfunding together – in a variety of ways – is rather exciting.


Amazon Has Developed an AI Fashion Designer

MIT Technology Review

The effort points to ways in which Amazon and other companies could try to improve the tracking of trends in other areas of retail--making recommendations based on products popping up in social-media posts, for instance. For instance, one group of Amazon researchers based in Israel developed machine learning that, by analyzing just a few labels attached to images, can deduce whether a particular look can be considered stylish. An Amazon team at Lab126, a research center based in San Francisco, has developed an algorithm that learns about a particular style of fashion from images, and can then generate new items in similar styles from scratch--essentially, a simple AI fashion designer. The event included mostly academic researchers who are exploring ways for machines to understand fashion trends.


Amazon Mechanical Turk Workers Have Had Enough

WIRED

Within six months, Amazon enabled bank transfers for workers in India, and Bhatia's checks started coming through. A new, worker-friendly platform, dubbed Daemo, is currently under development at Stanford's Crowd Research Collective, and describes itself as a "self-governed crowdsourcing marketplace"--a utopia, of sorts, for Turkers who have long clamored for more agency. Those professors helped Dynamo's 550-plus members recruit over 100 academic researchers to pledge fair payment and open communication policies. But only two of those dozens of letters to Amazon received any personalized response, and Dynamo lost steam when Amazon caught wind of what was going on.


AI programs are learning to exclude some African-American voices

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If there aren't enough examples of a particular accent or vernacular, then these systems may simply fail to understand you (see "AI's Language Problem"). "If you analyze Twitter for people's opinions on a politician and you're not even considering what African-Americans are saying or young adults are saying, that seems problematic," O'Connor says. Solon Barocas, an assistant professor at Cornell and a cofounder of the event, says the field is growing, with more and more researchers exploring the issue of bias in AI systems. Shared Goel, an assistant professor at Stanford University who studies algorithmic fairness and public policy, says the issue is not always straightforward.


The use of AI in politics is not going away anytime soon

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The next level will be using artificial intelligence in election campaigns and political life. This highly sophisticated micro-targeting operation relied on big data and machine learning to influence people's emotions. Typically disguised as ordinary human accounts, bots spread misinformation and contribute to an acrimonious political climate on sites like Twitter and Facebook. For example, if a person is interested in environment policy, an AI targeting tool could be used to help them find out what each party has to say about the environment.


How A.I. Is Creating Building Blocks to Reshape Music and Art

#artificialintelligence

In the mid-1990s, Douglas Eck worked as a database programmer in Albuquerque while moonlighting as a musician. Last spring, a few years after taking a research job at Google, Mr. Eck pitched the same idea he pitched Mr. Hofstadter all those years ago. Called deep neural networks, these complex mathematical systems allow machines to learn specific behavior by analyzing vast amounts of data. By looking for common patterns in millions of bicycle photos, for instance, a neural network can learn to recognize a bike.