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About BLooP
Welcome to the Dictionary of Programming Languages, a compendium of computer coding methods assembled to provide information and aid your appreciation for computer science history. BLooP was a very simple recursive block structured language invented by Douglas Hofstadter for his book Godel, Escher, Bach. It features simple subroutine structure, very simple number and boolean handling, and recursion. The interesting aspect of BLooP was that it offered only bounded loop constructs, and was therefore incapable of expressing certain general recursive computations.
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Tcl
Tcl is a very simple programming language. If you have programmed before, you can learn enough to write interesting Tcl programs within a few hours. This page provides a quick overview of the main features of Tcl. After reading this you'll probably be able to start writing simple Tcl scripts on your own; however, we recommend that you consult one of the many available Tcl books for more complete information. Each Tcl command consists of one or more words separated by spaces. In this example there are four words: expr, 20, +, and 10. The first word is the name of a command and the other words are arguments to that command. All Tcl commands consist of words, but different commands treat their arguments differently. The expr command treats all of its arguments together as an arithmetic expression, computes the result of that expression, and returns the result as a string. In the expr command the division into words isn't significant.
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FLooP
FLooP was a very simple recursive block structured language invented by Douglas Hofstadter for his book Godel, Escher, Bach. It features a simple subroutine structure, very simple number and boolean handling, and recursion. Unlike its cousin BLooP, FLooP does support unbounded loops. This allows it to possess the full power of a Turing machine, thus making it fair game for various undecidability theorums. The syntax of FLooP is rather verbose but simple in structure. Though Hofstadter doesn't mention it in GEB, FLooP is similar to early exercises in exploring the computational model of "Random Access Machines". Note the use of 'CELL(0) <= 2' and similar constructs. Though FLooP was never intended to be more than an academic exercise, an implementation of FLooP in Perl was made. Unfortunately, I can't seem to find it. S - block-structured language type.
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Kray
Kray is a state of the art global illumination renderer that allows very fast and accurate rendering of scenes where indirect light plays important role. It includes the most advanced modern algorithms and optimizations to allow it to render full global illumination, reflections, refractions and caustics quickly on standard computers. Fast global illumination: light/photon mapping – biased, but very fast and not much dependent on number of ray recursions, path tracing – unbiased with serval sampling optimizations, irradiance caching – for fast, view independent, reusable GI solution storage, caustics. Light models: point/directional, line lights, area lights, background light, HDR image based lighting, lights pre sampling. Instancing: allows repeated re-use of the same geometry in multiply locations in the rendered scene with very low memory consumption, instanced geometry can be also instances, even self cloning is possible with user defined number of recursions.
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Recursion
Recursion is a TechBio company focused on transforming drug discovery by combining biology, data, and artificial intelligence. Founded over a decade ago, the company pioneered the use of large-scale cellular imaging to train AI models that decode the biological drivers of disease. Recursion’s mission is to deliver better medicines through novel insights and precision design, reducing the high failure rates of traditional drug development. Its proprietary Recursion OS platform integrates massive biological datasets with machine learning to accelerate discovery from target identification to clinical development. The company has built an advanced pipeline of potential first-in-class and best-in-class therapies targeting aggressive cancers and rare diseases. Automated wet labs and robotics enable millions of experiments per week, feeding continuous learning into its AI models.
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