via The Great Internet Mersenne Prime Search (GIMPS), comes word of the discovery of the 51st Mersenne Prime: 282,589,933-1. Discovered by GIMPS software, and executed by GIMPS user Patrick Laroche on a volunteered computer. Simply Outstanding.
"BLOWING ROCK, NC, December 21, 2018 -- The Great Internet Mersenne Prime Search (GIMPS) has discovered the largest known prime number, 282,589,933-1, having 24,862,048 digits. A computer volunteered by Patrick Laroche made the find on December 7, 2018. Patrick is one of thousands of volunteers using free GIMPS software available at www.mersenne.org/download/." - via The Great Internet Mersenne Prime Search (GIMPS)
via Kevin Hartnett, writing for Simon's Foundation Quanta Magazine, notes - An 18 year old man from Texas (in the fall, Ewin will attend the University of Washington graduate program in Computer Science) has obsoleted the so-called quantum 'recommendation problem'. Eighteen year old Ewin Tang has published a paper entitled 'A Quantum-Inspired Classical Algorithm for Recommendation Systems' detailing the problems obsolescence (and is today's selection for a Must Read recommendation).
Well Done, Mr. Tang, Well Done.
Not the Alice and Bob we know running and frolicking along and about various and sundry paths to Security Nirvana, oh no me prtetties, but the Alice and Bob of mathematics, blackholes, paradoxes and whatnot... Examine - if you will - what happens when the pair meet the ultimate firewall - Today's Must Read.
Quanta Magazine contributing writer Ariel Bleicher interviews Professor Rebecca Goldin, Ph.D. on the notion that mathematics could very well be the best tool we have to cogitate successfully upon the subject of the 'world'. Here's a Hint: This cogitation - if you will - includes Information, Cyber, Network, Application and Physical Security. Today's MustRead!
New - heretofore unreleased - statistical model can predict numbers of so-called cyber-intrusions in the Enterprise (whether that Enterprise be Military, Government or Business - apparently). By United States Army Research Laboratory research scientists Lawrence P. Knachel, Alexander Kott, Nandi O. Leslie and Richard E. Harang, the paper is slated for publication in a special release within the Journal of Defense Modeling and Simulation during claendar year 2018. A pre-release copy can be garnered via Sagepub Journals. Key quote (and pertinent to information security modelers:
"Several of the predictor variables that were recommended to the researchers by subject matter experts turned out to be lacking in influence or even misleading. For example, SMEs felt that the extent to which an organization is visible on the Internet, as measured for example by the number of records found related to that organization on the popular Google Scholar, would be a significant predictor of intrusion frequency. However, it turned out that such visibility alone is not a useful predictor of successful intrusions," Leslie said." - via ARL
In superbly crafted reportage published at The New York Times, Pam Belluck tells us of the efforts of a physicist at the University of Miami's Center for Computational Science, if you wil - Neil Jophnson, Ph.D., to predict - with algorithmical efficiency - the next move by the Islamic State of Iraq and the Levant. Read the study, and marvel at the power of mathematics.