An anonymous reader writes: A confidential computer project designed to break military codes was accidentally made public by New York University engineers. An anonymous digital security researcher identified files related to the project while hunting for things on the internet that shouldn’t be, The Intercept reported. He used a program called Shodan, a search engine for internet-connected devices, to locate the project. It is the product of a joint initiative by NYU’s Institute for Mathematics and Advanced Supercomputing, headed by the world-renowned Chudnovsky brothers, David and Gregory, the Department of Defense, and IBM. Information on an exposed backup drive described the supercomputer, called — WindsorGreen — as a system capable of cracking passwords. Read more of this story at Slashdot.
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NYU Accidentally Exposed Military Code-breaking Computer Project To Entire Internet
An anonymous reader quotes a report from Phys.Org: In a new study published in the journal Science, a pair of researchers at Columbia University and the New York Genome Center (NYGC) show that an algorithm designed for streaming video on a cellphone can unlock DNA’s nearly full storage potential by squeezing more information into its four base nucleotides. They demonstrate that this technology is also extremely reliable. Erlich and his colleague Dina Zielinski, an associate scientist at NYGC, chose six files to encode, or write, into DNA: a full computer operating system, an 1895 French film, “Arrival of a train at La Ciotat, ” a $50 Amazon gift card, a computer virus, a Pioneer plaque and a 1948 study by information theorist Claude Shannon. They compressed the files into a master file, and then split the data into short strings of binary code made up of ones and zeros. Using an erasure-correcting algorithm called fountain codes, they randomly packaged the strings into so-called droplets, and mapped the ones and zeros in each droplet to the four nucleotide bases in DNA: A, G, C and T. The algorithm deleted letter combinations known to create errors, and added a barcode to each droplet to help reassemble the files later. In all, they generated a digital list of 72, 000 DNA strands, each 200 bases long, and sent it in a text file to a San Francisco DNA-synthesis startup, Twist Bioscience, that specializes in turning digital data into biological data. Two weeks later, they received a vial holding a speck of DNA molecules. To retrieve their files, they used modern sequencing technology to read the DNA strands, followed by software to translate the genetic code back into binary. They recovered their files with zero errors, the study reports. The study also notes that “a virtually unlimited number of copies of the files could be created with their coding technique by multiplying their DNA sample through polymerase chain reaction (PCR).” The researchers also “show that their coding strategy packs 215 petabytes of data on a single gram of DNA.” Read more of this story at Slashdot. 
Reid Hoffman, the founder of LinkedIn, and Pierre Omidyar, the founder of eBay, have each committed $10 million to fund academic research and development aimed at keeping artificial intelligence systems ethical and to prevent building AI that may harm society. Recode reports: The fund received an additional $5 million from the Knight Foundation and two other $1 million donations from the William and Flora Hewlett Foundation and Jim Pallotta, founder of the Raptor Group. The $27 million reserve is being anchored by MIT’s Media Lab and Harvard’s Berkman Klein Center for Internet and Society. The Ethics and Governance of Artificial Intelligence Fund, the name of the fund, expects to grow as new funders continue to come on board. AI systems work by analyzing massive amounts of data, which is first profiled and categorized by humans, with all their prejudices and biases in tow. The money will pay for research to investigate how socially responsible artificially intelligent systems can be designed to, say, keep computer programs that are used to make decisions in fields like education, transportation and criminal justice accountable and fair. The group also hopes to explore ways to talk with the public about and foster understanding of the complexities of artificial intelligence. The two universities will form a governing body along with Hoffman and the Omidyar Network to distribute the funds. The $20 million from Hoffman and the Omidyar Network are being given as a philanthropic grant — not an investment vehicle. Read more of this story at Slashdot. 
In case you wanted to ground your abstract TV FOMO in hard numbers, FX has data on the fact that, yes, there really is too much TV. An anonymous reader shares a report: The network, whose CEO John Landgraf coined the idea of “peak TV, ” has released its unofficial tally of the number of shows on TV, finding that 455 different scripted television series from broadcast, cable, and streaming sources aired in the last year. That’s an 8 percent increase from last year, when 421 shows aired on TV; a 71 percent increase from 2011, when a mere 266 shows were on TV; and a 137 percent increase from 2006, when there were 192 shows on TV. Read more of this story at Slashdot.