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Showing posts from June 21, 2020

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Spectre and Meltdown Explained, and a Proposed Counter Against Them

On January 15, 2018, 2:58 AM PST, Josh Fruhlinger wrote Spectre and Meltdown explained: What they are, how they work, what’s at risk . As threats, regarding these two risks, Spectre and Meltdown, Fruhlinger wrote, “In the first days of 2018, published research revealed that nearly ever computer chip manufactured in the last 20 years contains fundamental security flaws, with specific variations on those flaws being dubbed Spectre and Meltdown ” (Fruhlinger, Jan 15, 2018). Fruhlinger was stating this: despite the best known efforts Electrical Engineers and Computer Scientists exercised, computer chip technology dated 1998 AD - 2018 AD has experienced an error, design flaws, that led to known defects, Spectre and Meltdown, and these are potentially great failures.  Side-channel technology requires high grade technical research, and this can be because Spectre and Meltdown exist, so a layman would not have known it, 22 years ago. According to Josh Fruhlinger, speculative execution and cac

Drone Uses AI and 11,500 Crashes to Learn How to Fly

Learning to Fly by Crashing On 10 May, 2017, Evan Ackerman wrote the IEEE (Institute for Electricians and Electrical Engineers) SPECTRUM article Drone Uses AI and 11,500 Crashes to Learn How to Fly. In Ackerman’s article, Ackerman used a block quote by Carnegie Mellon University roboticists Dhiraj Gandhi, Lerrel Pinto; and Abhinav Gupta, the writers of a paper, “Learning to Fly by Crashing” (Gandhi, et. al., 27 Apr 2017). From Ackerman’s block quote from Gandhi, et. al., “[T]he gap between simulation and real world remains large especially for perception problems” (Gandhi, et. al.). Ackerman contrasted known motion from unconfirmed motion without identifying the pre-existing condition called Schrödinger’s cat in the case that the crashes shall eventually happen without outside help: a continuing crash failure, and in security terms this is interned as a false positive because this helps Schrödinger’s cat stay alive or rest buried in the soil. In this case, this drone detects these t

Data Work and Digitization: The impact of computerized systems and automation on healthcare professionals

Data Work and Digitization In the Spring 2020 edition of XRDS (CROSSROADS), Vol 26 No.3, Claus Bossen wrote  Data Work and Digitization: The impact of computerized systems and automation on healthcare professionals . Bossen began, “After two decades of intensive digitization of healthcare in the U.S. and Europe, we are starting to see the contours of what it is like to work in digitized healthcare environments” (Bossen, Spring 2020). Bossen focused on three digitization topics in the medical environment: EHRs (electronic healthcare records), DRGs (diagnosis-related groups), and CDISs (clinical documentation improvement specialists). EHRs are having the ease of parallelizing information intersecting professionals and organizational peer review groups contrasted from paper-based records, and this includes next-turn no-deadlock distributing and parallelizing things like MR-MRscans and ongoing examining results: giving persons easy to use software without blocks may allow the privilege of

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