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Day: June 23, 2021

Machine Learning on Frontera Aids Earthquake Risk Prediction – HPCwire

June 23, 2021 — Our homes and offices are only as solid as the ground beneath them. When that solid ground turns to liquid — as sometimes happens during earthquakes — it can topple buildings and bridges. This phenomenon is known as liquefaction, and it was a major feature of the 2011 earthquake in Christchurch,…

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    Why Python is Best for AI, ML, and Deep Learning – RTInsights

    The Python programming language has been in the game for so long, and it is here to stay. Artificial intelligence projects are different from traditional software projects. The difference lies in the technology stack, the skills required for AI-based projects, and the need for in-depth research. To implement AI aspirations, you need to use a…

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      AI@EIF 2021: Artificial Intelligence and Machine Learning – ARC Viewpoints

      The ARC Industry Forum Europe 2021 “Accelerating Digital Transformation in a Post-COVID World” was held as a virtual event due to the ongoing epidemic. The digital event attracted participants from all sectors of industrial production. In this series of blogs, we are presenting the highlights from our forum. You would like to watch a session…

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        AI@EIF 2021: Artificial Intelligence and Machine Learning – ARC Advisory Group

        The ARC Industry Forum Europe 2021 “Accelerating Digital Transformation in a Post-COVID World” was held as a virtual event due to the ongoing epidemic. The digital event attracted participants from all sectors of industrial production. In this series of blogs, we are presenting the highlights from our forum. You would like to watch a session…

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          AI, ML, Cloud and Edge Compute: What They Can Mean for Distributors

          By embracing digital technologies such as artificial intelligence, machine learning and cloud computing, distributors can be better prepared to shift assets on demand while also improving customer experience, reducing costly onsite hardware and enabling faster response times. On June 29, Roy Chua, founder and principal of independent research and advisory service AvidThink, will dive into…

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            Data Rights in Artificial Intelligence: Who Will Own Skynet?

            “Artificial intelligence is the future, not only for Russia, but for all humankind. It comes with colossal opportunities, but also threats that are difficult to predict. Whoever becomes the leader in this sphere will become the ruler of the world.”1 I. Introduction Until 2017, the open-source software program known as Stockfish reigned supreme as the…

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              Machine Learning, from Single Core to Whole Cluster – Datanami

              (yucelyilmaz/Shutterstock) The demand for production-quality software for mining insights from datasets across scales has exploded in the last several years. The growing size of datasets throughout industry, government, and other fields has increased the need for scalable distributed machine learning solutions that can make full use of available hardware to analyze the largest datasets. This…

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                Xilinx adds machine learning optimisation to Vivado to accelerate design cycle – Electronics Weekly

                Claiming to be able to reduce design compile times by a factor of five, Xilinx has launched the Vivado ML Editions tool suite. The latest addition to the company’s Vivado tool suite is believed to be the first FPGA EDA tool suite based on machine learning (ML) optimisation algorithms. In addition to faster compile times,…

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                  Deputy Defense Secretary Says US Needs to Defend Its Artificial Intelligence Better – Nextgov

                  As the Pentagon rapidly builds and adopts artificial intelligence tools, Deputy Defense Secretary Kathleen Hicks said military leaders increasingly are worried about a second-hand problem: AI safety. AI safety broadly refers to making sure that artificial intelligence programs don’t wind up causing problems, no matter whether they were based on corrupted or incomplete data, were poorly…

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                    Sebi bets on AI machine learning, plans data analytics project to track market manipulations – Livemint

                    NEW DELHI : Markets regulator Sebi is looking to engage an agency to implement a “data analytics project” to track possible market manipulations like insider trading and front running. The move is part of Sebi’s effort to address and handle challenges arising out of technological advancements in the markets. In a notice on Wednesday, the…

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