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#Gartner hype cycle for ai 2020 software
This is the technology used to create “deepfakes,” aka digital content like images, audios, and videos that bad actors can exploit in order to prank, spread misinformation, and/or cause dangerous disruptions.Įven though 31 AI experts from a UCL study ranked deepfakes as the biggest AI crime threat, deepfakes are also increasingly used for less devious intentions including drug discovery and synthetic data generation.įor instance, the UK-based autonomous vehicles software company Oxbotica enlisted the use of deepfake technology to train its autonomous driving systems in realistic scenarios. Generative AI is a variety of ML methods that can alter existing content and create new novel content while preserving some likeness to the original training module but (and that’s a big but) it’s not the same. Predictive maintenance will be more efficient with improved insights powering decision making, further minimizing the risks of machinery breakdowns and slashing production losses. This specific AI technology offers greater functional advantages since it will increase the accuracy, insights, and intelligence of data analysis from existing and future sensors.Ī major application of embedded AI will most likely be seen in manufacturing as its capabilities will provide more in-depth insights needed to maintain machinery and hardware systems. Embedded AIĮmbedded AI is defined as the use of AI/ML (machine learning) techniques within embedded systems to analyze locally captured data.
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We take a closer look at some of these highly-anticipated finalists. #GartnerSYM #CIO #TechTrends /LBatEAZbY6ĪI-specific technologies were found to make the first appearance in the Hype Cycle. The Gartner Hype Cycle for Emerging Technologies, 2020 highlights 5 unique trends. This year, Gartner evaluated over 1,700 emerging technologies and narrowed down the contenders to only 30 with the highest ‘transformational’ value in the next decade.