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New tool uses machine learning to identify fake news domains

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Misinformation and fake news arguably weren't as problematic for our recent Presidential election as it was back in 2016 (Trump himself lied enough on his own this time around, anyway), but the spread of false statements remains an extremely serious hurdle for modern society. Bad faith actors certainly aren't going anywhere, and worse, they will likely only get better at their work. Luckily, new technologies are emerging to help combat the spread of disinfo in the coming years, including a program that can identify malicious sites before they begin to propagate their lies... yes, a robot to help determine other robots. The new program developed by Anil Doshi at the UCL School of Management, Sharat Raghavan from the University of California, Berkley, and Cornell University's William Schmidt is detailed in their recent working paper, "Real-Time Prediction of Online False Information Purveyors and their Characteristics." In it, the team explains the tool is impressively effective at spotting domain names created purely for the purpose of spreading misinformation online: the machine learning program correctly identified 92 percent of all fake news domains as well as 96.2 percent real sites supplied to it relating to the 2016 election.


This Week's Awesome Tech Stories From Around the Web (Through November 14)

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But machine–learning models that work well in the lab can fail in the … "Robots, we often assume, are clunky machines with as much grace as an …


Successful AI Examples in Higher Education That Can Inspire Our Future

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So much has been made of Artificial Intelligence (AI) potential to replace humans that its introduction … Even if that is learning, it is machine learning.


Smart Manufacturing Market Size to Hit US$ 489.66 Bn by 2027

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… and various digital technologies that include artificial intelligence and machine learning has upended the manufacturing sector in the recent past.


Alexa now runs on more powerful cloud instances, opening the door for complex new features

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"Alexa is one of the most popular hyperscale machine learning services in the world, with billions of inference requests every week.


Artificial Intelligence In Diagnostics Market 2020 and Forecast 2021-2027 Includes Business …

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The growing shortage of public health workforce and increasing applications of Artificial Intelligence (AI) has been adopted mainly due to shifting to …


Nigerian govt to create jobs through robotics, artificial intelligence

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As we enter the age of advanced technological breakthroughs such as Artificial Intelligence (AI), Nigeria cannot be left out in harnessing the advantages …


Enhancing AI Software Deployment Using Digital Innovations

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Artificial intelligence is invading this process by creating scalable and efficient workflows to drive productivity and reduce time-to-market.


What Does the Convergence of AI and IoT Means?

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Although both the technologies are powerful individually, AI as a source of intelligence, and IoT being the only technology making inter-device …


Strong AI in 2020? No

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The so-called Strong AI is a scientific term to define an AI capable to fully substitute human, often seen in Hollywood movies where machines defeat humans. In 2020, we did a solid step towards the Strong AI, but it's still not here. As you probably know, there are two main types of AI: Strong AI and Weak AI. Strong AI is the type often seen in Hollywood movies where intelligent machines act like humans solving an unrestricted scope of simple and complicated tasks: from chatting and dancing to conquering the universe. Weak AI refers both to machine learning and to other algorithms that stay behind most of the intelligent tools that we use daily: search engines, chatbots, route navigators or cybersecurity solutions.