Thursday, August 22, 2019
Open Source: The Naive "Good Ol' Days" are Gone
It used to be that open source was generally trusted because it was assumed peer-review would catch stuff like this. Welcome to the World of Today; not any more!
Friday, August 16, 2019
Keeping your household conversations private!
Mozilla has published instructions on how you can turn off human reviews of household audio captured from voice assistant devices. Check it out!
Monday, July 22, 2019
That's scary
From MIT Technology Review; this is just scary! Humans aren't the most stable geniuses, huh? And consequently, making an AI to think like them is sure to be fraught with contradictions and anomalies 😮 Not to mention that the Corp that gifted us with Windows Update is at the helm 😲
Tuesday, July 16, 2019
The future audience of the Internet
Interesting. Pay attention to market share, folks! Per this article from Fortune.
Organic Composite looks promising
Cool! This organic composite described in Phys.org looks promising for providing a light-stimulated electric current producing media 😀
Friday, January 11, 2019
The Raspberry Pi Story
Ever wonder how those little boards got created and who was behind them? Check out this article from TechRepublic.
Sometimes the way forward is backwards...
A thought-provoking article from System Engineer Paul Czarkowski on why VMs may be poised to make a come-back in 2019 😲
Tuesday, January 8, 2019
Metaphysical Migraine :-o
This WIRED article discussing Quantum Error Correcting Codes is guaranteed to give most laypeople a metaphysical migraine 😮
Friday, January 4, 2019
Spring Boot gets Big Props
Spring Boot, the open source Java application framework, got big props this week with Netflix's announcement that it will migrate its Java production environment from its custom-made application infrastructure to Spring Boot! 😮
Thursday, January 3, 2019
Book Review: Ethics and Data Science
Ethics and Data Science by Mike Loukides
My rating: 5 of 5 stars
Every data scientist or software engineer working with Big Data should read this book! It's short and to the point, distilling what could be a confusing consideration of ethics into a few simple approaches, which will make a big difference for any applied project. Starting with the obvious, pledges and creeds, it quickly shows why they're inadequate. Then, the authors discuss the checklist approach, which is applied, systematic, and reproducible. The book gives practical examples of ethical challenges, showing how easily unexamined projects with noble intentions can go awry! Just raising awareness is a big take-away from the book - and if teams develop and apply the checklist approach, it's far more likely they'll deliver solutions that actually "Walk the Talk" of consumer privacy and responsible data management.
My rating: 5 of 5 stars
Every data scientist or software engineer working with Big Data should read this book! It's short and to the point, distilling what could be a confusing consideration of ethics into a few simple approaches, which will make a big difference for any applied project. Starting with the obvious, pledges and creeds, it quickly shows why they're inadequate. Then, the authors discuss the checklist approach, which is applied, systematic, and reproducible. The book gives practical examples of ethical challenges, showing how easily unexamined projects with noble intentions can go awry! Just raising awareness is a big take-away from the book - and if teams develop and apply the checklist approach, it's far more likely they'll deliver solutions that actually "Walk the Talk" of consumer privacy and responsible data management.
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