Programming Leftovers

posted by Roy Schestowitz on Nov 08, 2022

• AI Should Compliment and Not Replace Humans, Says Stanford Expert

  Artificial intelligence should be developed primarily to augment the performance of, not replace, humans, said Erik Brynjolfsson, director of the Stanford Digital Economy Lab, at a Wednesday web event hosted by the Brookings Institution.

  AI that complements human efforts can increase wages by driving up worker productivity, Brynjolfsson argued. AI that strictly imitates human behavior, he said, can make workers superfluous – thereby lowering the demand for workers and concentrating economic and political power in the hands of employers – in this case the owners of the AI.

• 5 Reasons Why Fortran is Still Used

  Fortran is a language that is specialized for high-performance computing. Believe it or not, it's still alive and evolving.

• How We Make It Easy to Deploy Mayhem for Code on Your Premises

  Mayhem for Code can help you find and fix vulnerabilities in your code.

• Khronos Unveils Kamaros as the name for the Embedded Camera System API and Working Group

  Khronos has officially adopted ‘Kamaros’ (pronounced Kam-ă-ross) as the name for the Embedded Camera System API and the associated working group. Jointly promoted by Khronos and the European Machine Vision Association (EMVA), the Kamaros™ API Working Group is developing an open, royalty-free standard for controlling camera system runtimes in embedded, mobile, industrial, XR, automotive, and scientific markets.

  Work on the Kamaros API specification started in March 2022. This effort builds on an extensive exploratory process that involved over seventy companies working together from March to December 2021 to forge a strong industry consensus on the need, terminology, scope, requirements, and design methodology for a new open standard camera system API. The resulting Camera System API Scope of Work document is now being used to guide the direction of the Kamaros Working Group and API specification.

• Perl is out of the list of dependencies

  Starting with Qt version 6.5, you no longer need Perl to build Qt from sources. The utilities that used Perl have been replaced with a small application written in C++ that speeds up the pre-scanning process of header files.

• Use data from data.gouv.fr

  Using GIS data directly from data.gouv.fr : railways network of France.

• Use data from Openstreetmap

• Opening a spatial subset with {sf}

• Map any region in the world with R - Part II: Obtaining the coordinates | R with White Dwarf

  This is the second part of the series to create a map of any region of the world with R.

  We are creating maps of data showing changes over a span of time for different countries and pointing at all kinds of cities. That basically means that we need to map any region of the world with R. Today there are all kinds of packages and techniques to do that. I will share the strategy I used with ggplot2 and maps packages, using support of Open Street Map to obtain the coordinates of cities and finally making it interactive with shiny. The project is quite long for a single post, so my idea is to split it into a few smaller blog posts.

• Form and File: estimating running form in R - quantixed

  There are lots of ways for runners and cyclists to analyse training data. A key question most fitness enthusiasts want to know is “how am I doing?”.

  “How you are doing” is referred to as form.

  Unsurprisingly, form can be estimated in many ways. One method is using training stress scores (acute training load and chronic training load) to assess form as training stress balance. The acronyms for these terms are apparently copyrighted(!) by TrainingPeaks. So I will refer to acute training load as fatigue, chronic training load as fitness and the training stress balance as form. Some notes on how these are calculated can be found lower down.