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Showing posts with the label AI

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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

AIOps will help telcos manage AI at scale – a must in 5G networks

  AI’s Profound Effect on CSPs’ Businesses In August, 2020, Vice President of the TM Forum’s AI & Customer Experience, Aaron Boasman-Patel wrote AIOps will help telcos manage AI at scale – a must in 5G networks . Boasman-Patel wrote, “AI is going to have a profound effect on communication services providers’ (CSPs’) businesses” (Boasman-Patel, August, 2020). I believe this is an ideal, pillar-of-civilization, opportunity because AIs are special learners that advance to high-rank single task ‘completionists’ such as Go, the game, and chess, the game. Boasman-Patel continued by stating that it is desired that AI will transform CSPs’ networks, IT, and service operations, and this will enable their delivery of new and complex services that the digital ecosystem will allow across it. He also stated that the McKinsey Global Institute estimates that AI knew hot to contribute an added benefit to gross domestic product for a minimum of one decade that is, 1.2% annual growth, or $13 trill

Windstream Uses Intelligent Automation to Cut Provisioning Time

Against False Hope, Cutting Provisioning Time In October 2019, Tim Kridel wrote Windstream uses intelligent automation to cut provisioning time by 80% . Against technology's sake, Kridel wrote network conversions do not happen ( link ). Instead, Kridel wrote that the overhead goal is the service provider's business transformation; this contrasted network functions virtualization (NFV) and software-defined networking (SDN). On Windstream Communications, Kridel reported: with its software-defined wide-area network (SD-wan suite), and it included as the Concierge service model and Cloud Core services, and Windstream Communications sought the service provider's business transformation.  We Connect, a Self-Service Portal and Mobile App Kridel reported that this suite became an August 2017 'WE Connect' addition: a self-service portal and mobile app that let enterprise customers configure and manage SD-WAN plus other services, from one device. Kridel wrote Windstream Ente

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

IS the Future of AI “Women?”

Interdisciplinary Campus Culture On April 14, 2020, Katy Rank Lev wrote the Carnegie Mellon University’s (CMU) news article The Future of AI is Female . Since artificial intelligence’s (AI) initial measurement, wrote Lev, CMU built AI. Lev wrote that each of the colleges CMU is representing contribute to make AI a new field, describing this AI as a frontier, humanity can democratize: from healthcare, the eventual goal area is education. In a rush, Lev cut the conversation short, and Lev mentioned CMU’s interdisciplinary campus culture as the source of the effective AI women, but this is despite women historically not represented as scientists, technologists, and engineers, and math (STEM), worldwide. But CMU is spotlighting undergraduate students and highly honored faculty members, and Lev is including these women because she agrees with the Women in Tech movement as far as the East is from the West: CMU is the best Computer Science University with AI, and this is IT at this point in

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