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How Artificial Intelligence Can Detect – And Create – Fake News - Liwaiwai

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When Mark Zuckerberg told Congress Facebook would use artificial intelligence to detect fake news posted on the social media site, he wasn't particularly specific about what that meant. Given my own work using image and video analytics, I suggest the company should be careful. Despite some basic potential flaws, AI can be a useful tool for spotting online propaganda – but it can also be startlingly good at creating misleading material. Researchers already know that online fake news spreads much more quickly and more widely than real news. My research has similarly found that online posts with fake medical information get more views, comments and likes than those with accurate medical content.


A Facebook AI research chief and a machine-learning guru walk into MCubed in London...

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Event Our offer of discount early-bird tickets for Minds Mastering Machines ends next Monday, so act now if you want to join us to learn how real organisations can exploit machine learning and artificial intelligence and save big. We'll be bringing together a fantastic lineup of experts and practitioners at our conference on September 30 and October 1, headlined by Facebook AI's London research manager Sebastian Riedel and machine-learning veteran Dr Lorien Pratt. And if you want to get deep, and save even more, you can also get early bird prices on our October 2 workshops, which cover: developing and deploying Neural Nets; text mining; developing with TensorFlow 2; and getting machine learning into production using containers and devops. The venue is the palatial QE II Conference Center, in London, England, and the event runs from September 30 to October 2. As usual there will be excellent food right the way through, as well as our first-day drinks party, meaning you can connect with the speakers and your fellow attendees But remember, early bird prices expire next week, so to lock in your spot, head to the MCubed website now.


Near raises $100M for an AI that merges online and offline behavior to build consumer profiles – TechCrunch

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One of the holy grails in the world of advertising and marketing has been finding a way to accurately capture and understand what consumers are doing throughout the day, regardless of whether it's a digital or offline activity. That goal has become even more elusive in recent years, with the surge of regulations around privacy and data protection that limit what kind of information can be collected and used. Now, a startup believes it's cracked the code, and it's raised a large round of funding that underscores its success so far and what it believes is untapped future demand. Near, which has built an interactive, cloud-based AI platform called AllSpark that works across 44 countries to create anonymised, location-based profiles of users -- 1.6 billion each month at present -- based on a trove of information that it sources and then merges from phones, data partners, carriers and its customers, but which it claims was built "with privacy by design", has raised $100 million. The company believes that this Series C -- from a single backer, Great Pacific Capital out of London -- is one of the biggest rounds ever to be raised in this particular area of marketing technology.


Facebook is staring down a record-setting $5 billion fine

USATODAY - Tech Top Stories

Facebook may be close to putting a Federal Trade Commission investigation behind it. But it faces a variety of other probes in Europe and the U.S., some of which could present it with even bigger headaches. While the $5 billion fine from the FTC, which Facebook has been expecting, is by far the largest the agency has levied on a technology company. When Facebook reported its first-quarter earnings back in April, the company confirmed what many had long suspected: The Federal Trade Commission (FTC) was nearing the end of an investigation into the company following last year's Cambridge Analytica scandal. Numerous media reports suggested that the FTC was considering a record-setting fine to make an example of the social media platform.


Facebook and CMU's 'superhuman' poker AI beats human pros

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AI has definitively beaten humans at another of our favorite games. A poker bot, designed by researchers from Facebook's AI lab and Carnegie Mellon University, has bested some of the world's top players in a series of games of six-person no-limit Texas Hold'em poker. Over 12 days and 10,000 hands, the AI system named Pluribus faced off against 12 pros in two different settings. In one, the AI played alongside five human players; in the other, five versions of the AI played with one human player (the computer programs were unable to collaborate in this scenario). Pluribus won an average of $5 per hand with hourly winnings of around $1,000 -- a "decisive margin of victory," according to the researchers.


AI needs a new developer stack! - Fiddler

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In today's world, data has played a huge role in the success of technology giants like Google, Amazon, and Facebook. All of these companies have built massively scalable infrastructure to process data and provide great product experiences for their users. In the last 5 years, we've seen a real emergence of AI as a new technology stack. For example, Facebook built an end-to-end platform called FBLearner that enables an ML Engineer or a Data Scientist build Machine Learning pipelines, run lots of experiments, share model architectures and datasets with team members, scale ML algorithms for billions of Facebook users worldwide. Since its inception, millions of models have been trained on FBLearner and every day these models answer billions of real-time queries to personalize News Feed, show relevant Ads, recommend Friend connections, etc.


AI program beats pros in six-player poker in world first - Taipei Times

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Artificial intelligence (AI) programs have bested humans in checkers, chess, go and two-player poker, but multiplayer poker was always believed to be a bigger ask. Researchers at Carnegie Mellon University, working with Facebook's AI initiative, on Thursday announced that their program defeated a group of top professionals in six-player no-limit Texas Hold'em. The program, Pluribus, and its big wins were described in the US journal Science. "Pluribus achieved superhuman performance at multiplayer poker, which is a recognized milestone in artificial intelligence and in game theory," Carnegie Mellon computer science professor Tuomas Sandholm said. Sandholm worked with Noam Brown, who is working at Facebook AI while completing his doctorate at the Pittsburgh-based university.


Artificial Intelligence And The Challenge Of Global Governance

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Apple Park, the corporate HQ of Apple Inc., located in California. Digitalization is evolving from an economic challenge to a governance and political problem. Some studies suggest that by 2030, Artificial Intelligence (AI) might contribute up to EUR 13.33 trillion to the global economy (more than the current output of China and India combined). The essence of the political conflict that raises the issue of global governance is what type of actor (a state or a digital corporation) will lead this process, creating global asymmetry in terms of trade, information flows, social structures and political power. This means challenging the international system as we know it.


10 most valuable facial recognition startups of Europe which have given tough competition to Facebook and Google

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Facial recognition is a booming business! It has transformed the way we live in 2019, opening up exciting possibilities and posing new dangers. At present, we use facial recognition when unlocking a smartphone or laptop, but it will soon play a major role in everything right from booking a taxi to ordering food. Facial recognition is a form of biometric authentication that uses body measurements to verify your identity. It identifies people by measuring the unique shape and structure of the face.


Grill Cleaning Robot

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Like a Roomba for your grill, this robot will help clean up after a barbecue. Futurism's mission is to empower our readers and drive the development of transformative technologies towards maximizing human potential.