Rise Networks

Author name: Rise Labs

5 ways AI can be used as a ‘bad apple detector’ for cops

When an apple begins to rot it creates a chemical called ethylene. If that apple happens to be in a barrel with a bunch of other apples, and the rotting causes its skin to break, the ethylene will immediately cause the other apples to start rotting. That’s why the proverb “one bad apple spoils the bunch” […]

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AI analyzes satellite images to detect plastics in the ocean

An AI system has spotted plastic pollution in the sea by analyzing images from satellites orbiting the earth. The scientists behind the technique claim that it’s the first time patches of plastics in coastal waters have been detected via satellites. The system studies images collected by the European Space Agency’s Sentinel-2 satellites to spot debris floating in the world’s oceans. These objects absorb

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Researchers built an AI to discover new stars in the quest to explain our galaxy’s origin

An AI system has spotted thousands of new stars that could hold clues about the formation of the Milky Way. Researchers from Leeds University made the discovery by analyzing images collected by the Gaia satellite, which the European Space Agency launched in 2013 to create a 3D map of our galaxy. After applying machine learning techniques to the data, they found

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How you can choose between rule-based AI and machine learning

Companies across industries are exploring and implementing artificial intelligence (AI) projects, from big data to robotics, to automate business processes, improve customer experience, and innovate product development. According to McKinsey, “embracing AI promises considerable benefits for businesses and economies through its contributions to productivity and growth.” But with that promise comes challenges. Computers and machines don’t come into

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How unwanted bias in machine learning models can be detected

In 2016, the World Economic Forum claimed we are experiencing the fourth wave of the Industrial Revolution: automation using cyber-physical systems. Key elements of this wave include machine intelligence, blockchain-based decentralized governance, and genome editing. As has been the case with previous waves, these technologies reduce the need for human labor but pose new ethical

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Reason the coronavirus pandemic is confusing AI algorithms

At some point, every one of us has had the feeling that online applications like YouTube and Amazon and Spotify seem to know us better than ourselves, recommending content that we like even before we say it. At the heart of these platforms’ success are artificial intelligence algorithms—or more precisely, machine learning models—that can find

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Beeb: The newly launched voice assistant from the BBC

The BBC has launched an early version of a voice assistant called Beeb, which it’s given a male voice to avoid reinforcing gender stereotypes. Beeb can access the broadcaster’s radio, music, podcasts, news, and weather services. It was built with Microsoft’s AI tech and is being tested on PCs by members of the Windows Insider Program

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US joins G7 AI alliance to counter China

The US is joining the rest of the G7 in the Global Partnership on Artificial Intelligence, in an effort to contain China‘s influence on AI. The initiative was launched in 2019 to build a consensus on AI ethics, but has made little impact since — partly because the US initially refused to join. White House officials feared the group

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OpenAI’s GPT-3 can write sad poems and corrects grammatical errors

OpenAI has quietly unveiled the latest incarnation of its headline-grabbing text generator: GPT-3. The research lab initially said its predecessor’s potential to spread disinformation made it too dangerous to share. The decision led terrified journalists to warn of impending robot apocalypses — generating a lot of helpful hype for GPT-2. Now, OpenAI has unveiled its big brother. And it’s enormous. The

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What you need to know about symbolic AI

Today, artificial intelligence is mostly about artificial neural networks and deep learning. But this is not how it always was. In fact, for most of its six-decade history, the field was dominated by symbolic artificial intelligence, also known as “classical AI,” “rule-based AI,” and “good old-fashioned AI.” Symbolic AI involves the explicit embedding of human knowledge and behavior

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