Google's Anti-Malware Detection Gives False Positives
Source:  Collatz Conjecture
jeudi 22 octobre 2015 16:22

For the last several months, Google has identified the Collatz apps as "having an unknown virus". I have asked Google for specifics since their scan states that Collatz has "Undetermined malware" and all virus scans I have done show no issues. Because other sites relay on their security tools, I have not been able to update the expired SSL certificate. Since the BOINC client will not fall back to HTTP if there is an issue with the SSL Certificate (e.g. it is expired), I had to remove the certificate. That means that logins are no longer encrypted. Thanks, Google, you've accomplished the exact opposite of what you intended and all attempts to get you to rectify the situation have fallen on deaf ears. Proof? The applications that Google complains about are exactly the same as the ones created several years ago (before the suspected trojan even existed). I can compile the application on a clean machined (fresh install of everything from DVDs direct from Microsoft) and the applications match the supposedly infected ones byte for byte. The issue is that in order to scan the files quickly, Google uses a "thumbprint" of each virus and if the application happens to have any code that matches the small snippet in the thumbprint, Google deems it to be infected. Google __should__ check for the real virus instead of a thumbprint when it finds an initial match. That would avoid false positives. Instead, they assume they are correct and ban the site. Hmmmm... I thought we were supposed to be innocent until proven guilty, not just suspected of being guilty. But, I guess that's what happens when you become the 800 lb. gorilla.

Dealing with unpredictable job sizes
mardi 20 octobre 2015 22:13

The paper "Subdividing Long-Running, Variable-Length Analyses Into Short, Fixed-Length BOINC Workunits" recently appeared in the Journal of Grid Computing.

New code
Source:  Universe@Home
mardi 20 octobre 2015 22:00

We have made significant upgrades to the code, removed a few bugs, and incorporated new additional physics to widen our field of research.

Due to this fact we delete the remaining work units. These which are currently processed by users will stay unharmed and the points will be added as before. Tomorrow we will compile the new code and prepare new workunits.

If you find any problems with the new code, please let us know.

12-digit factor of P2203 has now been found by the project...
Source:  WEP-M+2 Project
lundi 19 octobre 2015 12:52

...74405 times

Probably not aliens, but ...
Source:  SETI@Home
jeudi 15 octobre 2015 19:19

“Aliens should always be the very last hypothesis you consider, but this looked like something you would expect an alien civilization to build.”

Read more about a strange star that has all of us in the SETI community intrigued.

The Clean Energy Project team explains: What is high-throughput virtual screening?
Source:  World Community Grid News and Updates
jeudi 15 octobre 2015 17:55

The Clean Energy Project team has just published some thoughts about the philosophy, practicalities and potential of high-throughput virtual screening. Because computers and software continue to evolve rapidly, other researchers who are interested in high-throughput screening should consider these general guidelines, rather than trying to meet specific technical parameters.

Analyzing a wealth of data about the natural world
Source:  World Community Grid News and Updates
mercredi 14 octobre 2015 20:29

The Uncovering Genome Mysteries project has already amassed data on over 200 million proteins, with the goal of understanding the common features of life everywhere on earth. There are tens of millions of calculations still to run, but the team is also making preparations for analysis and eventual publication of the data.

Next-Level Screening: Predicting Material Properties
Source:  World Community Grid News and Updates
mercredi 14 octobre 2015 14:02

A new paper from the Clean Energy Project team reveals that they can now use multi-layer artificial neural networks to predict the electrical properties of novel molecules without actually simulating the entire molecule. This advance was made possible by the enormous number of simulations done for the Clean Energy Project, and promises to enable screening of many more molecules than the team was able to address in their previous work.

Longer work units
Source:  Universe@Home
lundi 12 octobre 2015 22:43

From new batch we start to send about 4 times longer work units...

Longer WU's allow us to check some models more deeply and also this change will unload server by giving us same data in less files...

Project News Oct 12, 2015
Source:  Rosetta@home
lundi 12 octobre 2015 09:00

The minirosetta application has been updated to 3.65. To report bugs, go to this thread.


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