Tag: Machine Learning
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Virtual Vengeance – Today’s Reality
Note: This book review is dedicated to the late John P. Messmer: a voracious reader, outstanding engineer, and stand-up guy with an enormous heart. Paying homage to Messmer’s book-a-day reading habit, this reviewer read Virtual Vengeance in a day. It was refreshing to read words on paper, instead of a screen, and to become engrossed…
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Automated Driving Technologies – Driving Change in Insurance
It is in the insurance industry’s best interest to use automated driving technology to make things safer through crash avoidance, not just crash mitigation. Unlike crash mitigation, crash avoidance saves the insurance company money. This was Alain Kornhauser’s premise for the Smart Driving Car Summit, Incentivizing Through Insurance. The trillion-dollar question is whether the incentives…
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Viodi View – 01/20/21
A Digital Talent Multiplier Did the statement, “I could just be here [CES2021] virtually,” jinx 2020? This statement, made last January at CES2020, was a comment on the realistic-looking video models created by HourOne’s Generative AI service. The creation of a digital twin is definitely an appealing alternative to the wear and tear of CES…
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Machine Learning & Artificial Intelligence as Simple as Drag and Drop #CES2021
Blaize AI Studio brings drag and drop functionality to the creation of AI & ML Apps cutting development time from months to days.
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CORD-19 Initiative, AI, Data Science and Chatbots to Combat COVID-19
On March 16th, researchers from the Allen Institute for AI, Chan Zuckerberg Initiative (CZI), Georgetown University’s Center for Security and Emerging Technology (CSET), Microsoft, and the National Library of Medicine (NLM) at the National Institutes of Health released the COVID-19 Open Research Dataset (CORD-19) of scholarly literature about COVID-19, SARS-CoV-2, and the Coronavirus group. Requested by…
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Summary of IEEE Ethical Standards for Robotics and AI
by Alan J Weissberger Introduction: Should robots and artificial intelligence (AI) be used to improve the human condition and enhance productivity or are they only to be used to increase revenue and profits for the companies pursuing those technologies? Can they be trusted to make decisions without human intervention? What about robotic or AI accidents/mishaps?…