Bit Jet Kit

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 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

Circular Reasoning On June 14, 2020, the IIS (Institute of Industrial Science) at the UTokyo (University of Tokyo) wrote  Circular Reasoning: Spiraling Circuits for More Efficient AI ; but a Press Release from this institute is giving a synopsis on this topic. On this press release, the IIS wrote, “Researchers from the Institute of Industrial Science at the University of Tokyo designed and built specialized computer hardware consisting of stacks of memory modules arranged in a 3D-spiral for artificial intelligence (AI) applications” (IIS, June 14, 2020). The IIS continued on, saying this research is allowing a singular way work can be done regarding the next generation energy efficient AI devices (Here is a current generation, but energy efficient, AI device, Android Pie: link ) shall be implemented into production.             The Fundamentals of Machine Learning                On this press release, the IIS is explaining the fundamentals of ML (Machine Learning). The IIS wrote, “Mach

I am ready After a hiatus: with the readers, I am ready.  COVID-19 Made Internet Access, Broadband and Hotspots an Educational Necessity   On June 9, 2020, the IEEE Transmitter (Institute for Electricians and Electrical Engineers Transmitter) wrote COVID-19 Made Internet Access, Broadband and Hotspots an Educational Necessity . In this Transmitter article, the IEEE wrote that numerous students experienced academic difficulties because of the novel coronavirus, COVID-19, causing widespread problems. The IEEE wrote, “while virtual learning helps reduce the risk of person-to-person transmission, schools were presented with a new problem: how to ensure every student has internet access so they could continue their education remotely” ( IEEE ). On the other hand, IEEE Senior Member David Witkowski is enthusiastic about a mobile generation of learners, but concerned regarding people enfortressed only to stay there and avoid public establishments. Witkowski is saying this: even on digital p

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