Category: Uncategorized

ISSUE OF SCALE. "It is possible that hallmarks of metabolic optimality in metabolic network wiring may be observable at the level of global (multi-species) metabolic networks more than at the individual species level." https://lnkd.in/dUHqnYU View in LinkedIn

OPTIMIZED PATHWAYS. "Some computational studies have proposed that the topology of specific metabolic pathways may have evolved towards maximal efficiency, minimal number of steps, or that network properties may reflect optimal organization." https://lnkd.in/dUHqnYU View in LinkedIn

ADAPTED PATHWAYS. "Baldwin and Krebs suggested that biochemical network topologies may reflect the adaptation toward optimally efficient metabolic strategies, and that manifold use of certain molecules may be a crucial element of this adaptation, as “it is indeed a general principle of evolution that multiple use is made of given resources." https://lnkd.in/dUHqnYU View in LinkedIn

DEEPLY ORGANIZED. "Despite the simplicity of the model employed, we find that the ensuing pathways display a surprisingly rich set of properties, including the existence of autocatalytic cycles and hierarchical modules, the appearance of universally preferable metabolites and reactions, and a logarithmic trend of pathway length as a function of input/output molecule size." https://lnkd.in/dUHqnYU View in LinkedIn

RECURRING TOPOLOGIES. "We find that optimal pathways in our idealized chemistry display a logarithmic dependence of pathway length on input/output molecule size. They also display recurring topologies, including autocatalytic cycles reminiscent of ancient and highly conserved cores of real biochemistry. Finally, across all optimal pathways, we identify universally important metabolites and reactions, as well as a characteristic distribution of reaction utilization." https://lnkd.in/dUHqnYU View in LinkedIn

THE TEST. “Humans have already demonstrated the ability to create some seriously secure encryption algorithms, but that wasn’t enough for the Google Brain team. So, instead of relying on those soft, mushy human brains, Google engineers decided to let a trio of AI minds put their own encryption skills to the test.” https://lnkd.in/dGFg6bm View in LinkedIn

THE EXPERIMENT. "This is the idea behind the AI-Programmer experiment. The goal is to ultimately create a computer program that can write its own computer programs to solve specific computational problems. While the capability of a computer deciding what type of program to write is beyond our current means, we can still have a computer generate programs to solve very specific tasks, such as outputting the text, "Hello World"." https://lnkd.in/dUfSxf4 View in LinkedIn

DEEP MIND. "Google’s New Computer With Human-Like Learning Abilities Will Program Itself. The new hybrid device might not need humans at all. Neural networks -- which will enable the computer to invent programs for situations that it has not seen before -- will make up half of the computer's architecture. Experts at the firm hope this will equip the machine with the means to create like a human." https://lnkd.in/d2gu_tW View in LinkedIn

MINIMAL. "Kory Becker did some interesting work with Brainfuck a joke programming language that is turing complete with only 8 characters. He created a genetic algorithm that evolved software given only the input and expected output." https://lnkd.in/dKpewFv View in LinkedIn

TRIAL AND ERROR. "Naturally, the whole thing required a fair bit of trial and error. The AI only successfully wrote a program to output "Hi!" after 1,219,400 generations, a process that lasted a little over two hours. It then proceeded to produce the word "reddit" after 195000 generations, and the phrase "hello world" in 580,900 generations." https://lnkd.in/d5enhBP View in LinkedIn