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"Durumeric leads a team of researchers at the University of Michigan that has developed scanning software called ZMap. This tool can probe the whole public Internet in under an hour, revealing information about the roughly four billion devices online. The scan results can show which sites are vulnerable to particular security flaws. In the case of FREAK, a scan was used to measure the scale of the threat before the bug was publicly announced."

"The Facebook data, which captured the engagement metrics on thousands of posts by the six major party leaders in the two months leading up to the election, was collected by academics at the University of Pisa's MediaLab. It reveals all of the 25 most shared Facebook posts in the two months leading up to the election were videos, live broadcasts or photos from either Salvini, who runs the far-right League, or Di Maio, the leader of the anti-establishment Five Star Movement (M5S)."

""In some ways we've lost agency. When programs pass into code and code passes into algorithms and then algorithms start to create new algorithms, it gets farther and farther from human agency. Software is released into a code universe which no one can fully understand.""

"is an experimental service from Carnegie Mellon University that stores images of old processors, as well as the old operating systems that ran on top of them, along with software packages for those old OSes; this allows users to access old data from obsolete systems inside simulations of the computers that originally ran that data, using the original operating systems and applications."

"The groundbreaking artificial intelligence system, developed by the AI-outfit DeepMind with Moorfields eye hospital NHS foundation trust and University College London, was capable of correctly referring patients with more than 50 different eye diseases for further treatment with 94% accuracy, matching or beating world-leading eye specialists."

"The platform's automated tools may have mistaken the visuals of the burning building for 9/11 footage, according to Vagelis Papalexakis, an assistant professor of computer science and engineering at the University of California, Riverside who studies machine learning used in similar systems."

"Proponents say that it's more than just a matter of probability. The laws of physics don't seem that different from code in a program, according to some, and it's likely that with enough time, a sufficiently advanced civilization could crunch the numbers and produce a simulation that mimics the existence and behavior of every particle in our universe."

"In Neural Photo Editing With Introspective Adversarial Networks, a group of University of Edinburgh engineers and a private research colleague describe a method for using "introspective adversarial networks" to edit images in realtime, which they demonstrate in an open project called "Neural Photo Editor" that "enhances" photos by predicting what should be under your brush."

"More than just a poetic metaphor, the butterfly effect says that there are some things that even the most advanced science can never predict. Well, that list of things just got a lot shorter. Scientists from the University of Maryland have used machine learning to predict chaos."

" If your consumption of content is tailored by near limitless observations harvested about people like you, how could your universe not collapse into the partial depiction of reality that people like you also enjoy? How could empathy and respect for difference thrive in this environment? Where's the incentive to stamp out fake accounts, fake news, paid troll armies, dyspeptic bots?"

"As colleges come under unprecedented pressure to downsize, from the pandemic as well as the steep enrollment decline that was already projected for 2025, some professors predict that the shift online might reinforce "corporate university" tendencies to track professors' productivity and use the results as an excuse to lay them off."

"Apart from biases in the training databases, it's hard to know how well face-recognition systems actually perform in the real world, in spite of recent gains. Anil Jain, a professor of computer science at Michigan State University who has worked on face recognition for more than thirty years, told me, "Most of the testing on the private venders' products is done in a laboratory environment under controlled settings. In real practice, you're walking around in the streets of New York. It's a cold winter day, you have a scarf around your face, a cap, maybe your coat is pulled up so your chin is partially hidden, the illumination may not be the most favorable, and the camera isn't capturing a frontal view.""

"MEETINGS ON ZOOM, the increasingly popular video conferencing service, are encrypted using an algorithm with serious, well-known weaknesses, and sometimes using keys issued by servers in China, even when meeting participants are all in North America, according to researchers at the University of Toronto."

"Hostile states are attempting to hack British universities and scientific facilities to steal research related to Covid-19, including vaccine development, cybersecurity experts have warned."

"Computer security experts suggested that the crisis could reflect weaknesses in the NHS's cybersecurity. Ross Anderson, of Cambridge University, said the attack appeared to exploit a weakness in Microsoft's software that was fixed by a "critical" software patch earlier this year but which may not have been installed across NHS computers."

"People have made the anecdotal observation that their Apple products become much slower right before the release of a new model. Now, a Harvard University study has done what any person with Google Trends could do, and pointed out that Google searches for "iPhone slow" spiked multiple times, just before the release of a new iPhone each time."

"How can we help kids excel at the things that humans will always do better than AI?" Great talk - she also presented at recent IB conference in Yokohama.

"Lexplore claims its technology is new-particularly the algorithm that separates typical from atypical readers. But the concepts it's based on aren't. Its tech draws from a deep well of previously-conducted research stretching back decades, which is generally supportive of using a combination of eye tracking and machine learning to screen for dyslexia. "Eye movements is one of the best ways to index reading ability at an incredibly in-depth level," says Julie Kirkby, a psychology professor at Bournemouth University in the United Kingdom, who has studied eye tracking and dyslexia for years."

"Japanese supercomputer simulations showed that wearing two masks gave limited benefit in blocking viral spread compared with one properly fitted mask. The findings in part contradict recent recommendations from the U.S. Centers of Disease Control and Prevention (CDC) that two masks were better than one at reducing a person's exposure to the coronavirus. Researchers used the Fugaku supercomputer to model the flow of virus particles from people wearing different types and combinations of masks, according to a study released on Thursday by research giant Riken and Kobe University."

"More than two-thirds (68.7%) of the addicts had trouble sleeping, compared with 57.1% of those who were not addicted to their device. Students who used their phone after midnight or for four or more hours a day were most likely to be at high risk of displaying addictive use of their device."