In Winter 2020, Stephanie T. Jones and Natalie Melo wrote ‘Anti-Blackness is no glitch’: The need for critical conversations within computer science education . Jones and Melo mentioned, “The conversation around and application of computer science often reinforces neoliberal ideals” (Jones, Melo, November 25, 2020, pg. 42). Jones and Melo were saying this: the computer science revolution and organizational IT network futuristic left-wing best standards access is telling. For Trust, I am Checking my Privilege But this is not excluding contemporary conversations: any futuristic conversation based on personal interpretation is not from ABBA, so it is not prophecy (NIV, 2 Peter 1:20). For your review, Peter wrote, "For prophecy never had its origin in the human will, but prophets, though human, spoke from [ABBA] as they were carried along by the Holy Spirit" (2 Peter 1:21). You, reader, can predict something shall happen, but prediction is uncertain: it is a terminating series ca
In response to the Institute of Industrial Science, the University of Tokyo’s Circular Reasoning: Spiral Circuits for More Efficient AI
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, “Machine learning is a type of AI that allows computers to be trained by example data to make predictions for new instances” (IIS, June 14, 2020). An example of ML the IIS is referencing is Amazon’s Assistant, Alexa (link), who can learn a reader’s speaking voice command even during the first time you want this commanding duty sent to Alexa’s services logic. Next, IIS scientists at UTokyo are developing a new design, a stacking resistive RAM (Random-Access Memory (Here is an example of an CoaC (Computer on a Chip): link) modules with oxide semiconductor (IGZO) access transistor spiraling in three-dimensions; but in laymen’s terms, this shall be like being able to make a miniature encampment with highly nutritious and compact meals delivered very rapidly. This is because the electrical signals, those regarding with the on-chip nonvolatile memory, are having places close to the processors, so the ML training process is faster and more energy effective. Also, I believe this creation shall reduce deadlock times: this is good because like the ox we ought to not muzzle (NIV (link), Deuteronomy 25:4, 1 Timothy 5:18) the machine while it is working or else heating costs are increasing overhead a great deal for opponents. Here is a link to the original press release: link.
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