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Day: January 23, 2021

The Most Important Voice In Artificial Intelligence: Frontline Workers – Forbes

Let frontline workers guide AI processes getty A recent article and analysis by Nick Reed at Brink News suggests the driverless car revolution isn’t gaining as much traction as originally predicted. “Five years ago, there was a lot of hype, a sense that this was something that was coming very soon and would be a…

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    Understanding the vast role of AI and ML in cybersecurity

    Artificial Intelligence (AI) stands for computer systems that mimic human intelligence, namely the ability to perceive, recognise patterns, and take decisions based on an algorithmic “gut-feel”. Just like the decisions taken by human beings, this may not be a hundred percent accurate. Machine Learning (ML) is the science of machine-building and refining that ‘experience’ over…

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      First Ever Artificial Intelligence/Machine Learning Action Plan by FDA

      Last week, the U.S. Food and Drug Administration presented the organization’s first Artificial Intelligence/Machine Learning (AI/ML)- Based Software as a Medical Device (SaMD) Action Plan. This plan portrays a multi-pronged way to deal with the Agency’s oversight of AI/ML-based medical software. The Artificial Intelligence/Machine Learning (AI/ML)- Based Software as a Medical Device (SaMD) Action Plan…

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        What is the Fear Looming Over Artificial Intelligence – Analytics Insight

        Business magnate Elon Musk has come out with harsh criticisms for AI and called it  “the biggest existential threat.” Artificial intelligence is spreading its wings across all the industries making automation an actual thing. Artificial intelligence, deep learning, machine learning, and other technologies have proven beneficial for all industries. The Covid-19 pandemic made the contribution…

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          A closer look at the AI Incident Database of machine learning failures – The Next Web

          The failures of artificial intelligent systems have become a recurring theme in technology news. Credit scoring algorithms that discriminate against women. Computer vision systems that misclassify dark-skinned people. Recommendation systems that promote violent content. Trending algorithms that amplify fake news. Most complex software systems fail at some point and need to be updated regularly. We…

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            Fairness in Machine Learning Predictions – Latest Digital Transformation Trends | Cloud News – Wire19

            Human biases are well-documented, from tacit association tests that reveal biases we may not even be aware of, to field experiments that demonstrate how much these biases can affect outcomes. In the recent past, society has started to struggle with just how much these human biases can make their way into artificial intelligence (AI) systems,…

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              Understanding the vast role of AI and ML in cybersecurity

              Artificial Intelligence (AI) stands for computer systems that mimic human intelligence, namely the ability to perceive, recognise patterns, and take decisions based on an algorithmic “gut-feel”. Just like the decisions taken by human beings, this may not be a hundred percent accurate. Machine Learning (ML) is the science of machine-building and refining that ‘experience’ over…

                Read More

                First Ever Artificial Intelligence/Machine Learning Action Plan by FDA

                Last week, the U.S. Food and Drug Administration presented the organization’s first Artificial Intelligence/Machine Learning (AI/ML)- Based Software as a Medical Device (SaMD) Action Plan. This plan portrays a multi-pronged way to deal with the Agency’s oversight of AI/ML-based medical software. The Artificial Intelligence/Machine Learning (AI/ML)- Based Software as a Medical Device (SaMD) Action Plan…

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