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MIT Uses AI To Discover Hidden Magnetic Properties in Multi-Layered Electronic Material

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MIT Uses AI To Discover Hidden Magnetic Properties in Multi-Layered Electronic Material. TOPICS:Artificial IntelligenceMachine LearningMITย โ€ฆ


The importance of data audits when building AI

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Artificial intelligence can do a lot to improve business practices, โ€ฆ Machine-learning pioneers like Andrew Ng recognize what hangs in theย โ€ฆ


'Game changer': New software to shield athletes from social media abuse โ€“ Sydney Morning Herald

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In what is believed to be a world first, the A-Leagues have rolled out new software which uses machine-learning technology to stop any abusiveย โ€ฆ


Australian leagues sign deal to combat online abuse

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Football clubs in Australia will use artificial intelligence to combat online โ€ฆ will use machine-learning based software to monitor social mediaย โ€ฆ


Texas researchers tackle AI that gave us 'White Obama'

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Researchers with the lab's Institute for Foundations of Machine Learning (IFML) have been working to improve the algorithm that in 2020 produced โ€ฆ


Dan Huttenlocher ponders our human future in an age of artificial intelligence

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That's a deep question with no easy answers, and it's been on the mind of Dan Huttenlocher SM '84, PhD '88, dean of the MIT Schwarzman College of โ€ฆ


This Car's Provenance Is Even Stranger Than Its Looks - Global Circulate

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Thanks to a video posted by Edd China on YouTube we get a glimpse at one of the strangest custom cars ever built. This unique build was commissioned by a robotic lawn mower company called Friendly Robotics to create a drivable 3 to 1 replica of one of their robotic lawnmowers. The resulting build was a striking custom vehicle that was sure to draw interest from onlookers and help advertise the use of robotic lawnmowers. Friendly Robotics wanted to drum up some interest in their robotic lawn mower offerings. They took a page right from the Oscar Mayer Weinermobile book and decided to reach out to the team at Cummfy Banana to build a drivable robotic lawn mowermobile.


How to Tell if You're Chatting with a Bot

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Artificial intelligence (AI) is invading every aspect of our lives. So much is ruled by algorithms you could make the case that the robot uprising has already occurred and we lost, and lost badly. Robots decide what song plays next, robots recommend TV shows, and robots are even getting pretty good at writing and creating music. Most of us are fine with that. AI tends to automate tasks we want automated, like the aforementioned streaming recommendations, and on some level we're all aware of these bots in our lives, so our interactions with them are more or less voluntary.


I'm an AI researcher, and here is what scares me about AI

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AI is being increasingly used to make important decisions. Many AI experts (including Jeff Dean, head of AI at Google, and Andrew Ng, founder of Coursera and deeplearning.ai) I am an AI researcher, and I'm worried about some of the societal impacts that we're already seeing. At the end, I'll briefly share some positive ways that we can try to address these. Before we dive in, I need to clarify one point that is important to understand: algorithms (and the complex systems they are a part of) can make mistakes. These mistakes come from a variety of sources: bugs in the code, inaccurate or biased data, approximations we have to make (e.g.