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Showing posts from June 21, 2020

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We Should Have Already Had This: The Lithium-Ion Battery With Built-In Fire Suppression

On October 22, 2020, yesterday, Dexter Johnson posted The Lithium-Ion Battery With Built-In Fire Suppression. Within this topic, Dexter Johnson regards a Stanford University research team and the SLAC National Accelerator Laboratory (its former name was the Stanford Linear Accelerator Center[1]). Johnson stated:Now [Yi] Cui and his research team, in collaboration with SLAC National Accelerator Laboratory, have offered some exciting new capabilities for lithium-ion batteries based around a new polymer material they are using in the current collectors for them. The researchers claim this new design to current collectors increases efficiency in Li-ion batteries and reduces the risk of fires associated with these batteries.[2]Johnson was saying this: fires are a current Li-ion battery threat that has been realized, but a new design can secure client use-case safety, and this required this battery redesigned. As this technology approaches marketplace entry points, this shall confront Li-io…

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 two …

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 se…

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