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A new math BOINC project
https://t.co/8vaZn7YIq1
#BOINC #DistributedComputing #VolunteerComputing #GridComputing #Computer
https://t.co/8vaZn7YIq1
#BOINC #DistributedComputing #VolunteerComputing #GridComputing #Computer
BOINC Pentathlon 2022 has started! https://t.co/kOgpznY5QY
BOINC Pentathlon 2022: 2nd project in the discipline Javelin Throw https://t.co/Y1kEMPM0n0
MLC @Home is proud to announce the immediate availability of our DS3 dataset, consisting of over 1 million trained neural networks for manifold and parameter space analysis #boinc #ml #NeuralNetworks #torrent
Dataset download page: https://t.co/9Lf8eYmbMx
Dataset download page: https://t.co/9Lf8eYmbMx
https://boinc.loda-lang.org/loda/
The goal of the project is to find new formulas and more efficient algorithms for a wide range of non-trivial integer sequences.
The goal of the project is to find new formulas and more efficient algorithms for a wide range of non-trivial integer sequences.
LODA is an assembly language, a computational model, and a distributed tool for mining programs. You can use it to generate and search programs that compute integer sequences from the On-Line Encyclopedia of Integer Sequences® (OEIS®). The goal of the project is to find new formulas and more effic...
Neil Tyson explores the language of the universe through the lens of self-taught math genius and college dropout Ramanujan
Neil Tyson explores the language of the universe and the genius Ramanujan. With Jeremy Irons, Matthew Brown, Eugene Mirman, Ken Ono, Mona Chalabi, Bill Nye.
BOINC Italy's updated guide has now been translated to English. Download the PDF here.
An alternative available to Windows 10/11 users is to deploy WSL. There is an excellent guide [UPDATED: April 9, 2022] on how to do this available from BOINC Italy here: https://www.boincitaly.org/forum/articoli/115180-guida-wsl.html Download the lat
DENIS@home now requires your consent to exporting your data to BOINC statistics aggregation Web sites
Login to https://denis.usj.es/denisathome/prefs.php?subset=project and check that option if interested
Login to https://denis.usj.es/denisathome/prefs.php?subset=project and check that option if interested
https://blackholesathome.net
After a year spent rewriting the software behind BlackHoles@Home, we're seeing beautiful results. In short, the software seems to do what it needs to do, the software seems to do what it needs to do, but I'm still running it through some trials.
After a year spent rewriting the software behind BlackHoles@Home, we're seeing beautiful results. In short, the software seems to do what it needs to do, the software seems to do what it needs to do, but I'm still running it through some trials.
BlackHoles@Home/NRPy+ development is primarily funded by NSF grant PHY-1806596. It is also funded by NSF EPSCoR Grant 1458952 and NASA grants 80NSSC18K0538 and 80NSSC18K1488.
