![]() I don't really want to touch on anything having to do with scriptures in the most general sense (vedas, charkras, nadis, and the works that describe them) I don't think they are likely to have any utility in understanding gravitation, acceleration, or uniform linear motion at all, and if there is anything in there, it is probably easier to re-discover in a modern theoretical framework than to translate. I have no idea if it's a fair summary of D&G. don't simulate particles, simulate minds (for which a particle is only an abstraction anyway), and you recover that ratio, and more. Perhaps by focusing on the experience of life you can make the ratio make sense again. This also doesn't deal at all with the computation required to advance the state of the system. In real life we do many orders of magnitude worse, memory cells require millions of atoms. And 10 bits is certainly not enough for some phenomena! The bottom line is that if you converted the universe to computronium, the absolute best you could do is simulate a universe 1/60th the complexity. Even at 1 particular per bit, that's still a ratio of 60:1. With 6 numbers (position and momentum in 3 directions) that's 60 bits per particle. Classical position might want 10 bits, interpreted as meters. ![]() For any situation, you will need some dynamic range of measurement to describe the properties of a particle. QuChemPedIA : Quantum Chemistry encyclo Ped and Intelligence Artificielle.It would seem to be useful to start with the question of representing the position of a particle with other particles. Molecular chemistry is lagging behind in term of open science. Although modelization by quantum mechanics applied to chemistry has become almost mandatory in any major publication, computational raw data is most of the time kept in the labs or destroyed. Furthermore, the software used in this area tend to lack effective quality control and computational details are usually incomplete in the articles and the information may not be reused or reproduced. ![]() The first objective of this project is to constitute a large collaborative open platform that will solve and store quantum molecular chemistry results. Original output files will be available to be reused to tackle new chemical studies for different applications. Machine learning and more generally artificial intelligence applied to chemistry data promises to revolutionize this area in the near future, but these methods require a lot of data that this project will be able to provide. ![]() Today, it is impossible for a human to take into account the results, even limited to the most important data, for millions of known molecules. The second objective of this project is to radically change the approach developing artificial intelligence and optimization methods in order to explore efficiently the highly combinatorial molecular space. Generative models aim to provide an artificial assistant, which on the one hand has learned to predict the characteristics of a molecule and estimate its cost of synthesis, and on the other hand is able to browse effectively the molecular space. Generative models would open many perspectives by greatly facilitating the screening of new molecules with many potential applications (energy, medicine, materials, etc.). ![]() The bottleneck for our AIs is the computing power needed to verify the properties of the generated molecules.īy supporting this project, you will help chemical researchers around the world by building a unique collection of results. You will also help our AIs to propose much more new targets for the different applications we are addressing than we could do on our own. The project was developed a few years ago with an intern and a very limited budget. Despite many project submissions, we did not get any funding. Sometimes we are told that our project is too ambitious, sometimes not enough. It is discouraging! The truth is that the public funding of research in France is extremely low. ![]()
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