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Day: August 10, 2022

Convergence and adoption of AI and ML countering the cyber threat – tripwire.com

During the last few years, we have witnessed an increase in advanced cyber attacks. Cybercriminals utilize advanced technology to breach the digital boundary and exploit enterprises’ security vulnerabilities. No industry feels secure; security professionals do their utmost to close security gaps and strengthen their cyber defense. As new technologies pop up at an unprecedented rate,…

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    Artificial intelligence could provide a much-needed heads-up for future firefighters – News-Medical.Net

    In firefighting, the worst flames are the ones you don’t see coming. Amid the chaos of a burning building, it is difficult to notice the signs of impending flashover -; a deadly fire phenomenon wherein nearly all combustible items in a room ignite suddenly. Flashover is one of the leading causes of firefighter deaths, but…

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      Artificial Intelligence and Automated Systems Legal Update (2Q22) – Gibson Dunn

      August 10, 2022 Click for PDF The second quarter of 2022 saw U.S. federal lawmakers and agencies focus on draft legislation and guidance aimed at closing the gap to the EU with respect to addressing risks in the development and use of AI systems, in particular risks related to algorithmic bias and discrimination.  The American…

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        The Evolution From Artificial Intelligence to Machine Learning to Data Science – KDnuggets

        Photo by DeepMind on Unsplash  Recent years have seen many breakthroughs and discoveries in artificial intelligence (AI), machine learning (ML), and data science. These fields intersect so much that they have become synonymous. Unfortunately, it has caused some ambiguity.  This guide aims to clarify the confusion by defining the terms and explaining how they are…

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          Machine Learning At The Forefront Of Telemental Health – Forbes

          Staff Machine Learning Engineer of Cerebral Michael Stefferson Michael Stefferson / Arize AI Michael Stefferson received his PhD in Physics from the University of Colorado before deciding to make the jump into machine learning (ML). He spent the last several years as a Machine Learning Engineer at Manifold, where he first started working on projects…

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            10 top artificial intelligence (AI) solutions in 2022 – VentureBeat

            Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Watch here. Table of contents Among the many drivers of the tech ecosystem’s rapid growth, artificial intelligence (AI) and its subdomains are at the fore. Described by Gartner as the application of “advanced analysis and logic-based…

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              AI bias and AI safety teams are divided on artificial intelligence – Vox.com

              There are teams of researchers in academia and at major AI labs these days working on the problem of AI ethics, or the moral concerns raised by AI systems. These efforts tend to be especially focused on data privacy concerns and on what is known as AI bias — AI systems that, using training data…

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                Executive Q&A: New Survey Reinforces the Importance of Data Science and AI/ML

                Executive Q&A: New Survey Reinforces the Importance of Data Science and AI/ML The results of a new study by Domino Data Lab confirm the importance of data science and advanced analytics to modern enterprises. The company’s head of data science strategy and evangelism, Kjell Carlsson, drills down on the survey results. By Upside Staff August…

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                  Machine Learning Is Causing a ‘Reproducibility Crisis’ in Science

                  Kapoor and Narayanan organized a workshop late last month to draw attention to what they call a “reproducibility crisis” in science that makes use of machine learning. They were hoping for 30 or so attendees but received registrations from over 1,500 people, a surprise that they say suggests issues with machine learning in science are…

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                    Sloppy Use of Machine Learning is Causing a ‘Reproducibility Crisis’ in Science – WIRED

                    Kapoor and Narayanan organized a workshop late last month to draw attention to what they call a “reproducibility crisis” in science that makes use of machine learning. They were hoping for 30 or so attendees but received registrations from over 1,500 people, a surprise that they say suggests issues with machine learning in science are…

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