Rhymes from a high-schooler's machine learning system trained on Kanye lyrics

Robbie Barrat is president and founder of their high school computer science club; they created Rapper-Neural-Network, a free software project that uses machine learning trained on a corpus of 6,000 Kanye West lines to autogenerate new rap songs. Read the rest

Proof-of-concept ransomware locks up the PLCs that control power plants

In Out of Control: Ransomware for Industrial Control Systems, three Georgia Tech computer scientists describe their work to develop LogicLocker, a piece of proof-of-concept ransomware that infects the programmable logic controllers that are used to control industrial systems like those in power plants. Read the rest

Yale's college will no longer bear the name of a slaver, from now on, it's "Grace Murray Hopper" college

Yale's Calhoun College was named for the South Carolina politician John C Calhoun, a Yale alum and notorious enslaver and advocate of slavery; this was, understandably, controversial. Read the rest

Russia's slot-machine bans let criminals buy machines on the cheap and reverse-engineer them

In 2009, then-PM Vladimir Putin engineered a Russian ban on slot machines in a bid to starve Georgian mafiyeh of funds, the resulting glut of used slots gave Russia's own criminal gangs cheap testbeds to use in a project to reverse-engineer the machines and discover their weaknesses -- now, Russian gangs roam the world's casinos, racking up careful, enormous scores. Read the rest

Researchers discover hundreds of thousands of unsuspected, Star Wars-themed twitterbots hiding in plain sight

Twitter is a great place for bots. Botherders like Shardcore produce amazing, politics, artistic bots that mine Twitter, inject useful information into Twitter, or just frolic on Twitter, making it a better place. Twitterbots produce entries in imaginary grimoires, conduct sociological research, produce virtual model railroads, alert the public when governments try to make bad news disappear, and much, much more. Read the rest

Why connecting to wifi is such a pain in the phone

A group of computer scientists from Tsinghua University, Tencent and Tsinghua National Laboratory for Information Science and Technology have posted a first-of-its-kind paper to Arxiv, analyzing the problems that make connecting to wifi networks so achingly slow. Read the rest

Why are the data-formats in Star Wars such an awful mess? Because filmmakers make movies about filmmaking

Sarah Jeong's long, terrifyingly thorough analysis of the data-formats in the Star Wars universe is both hilarious and insightful, and illustrates the difference between the burgeoning technological realism of shows like Mr Robot and the long tradition of science fiction media to treat computers as plot devices, rather than things that audiences are familiar with. Read the rest

How much energy can dust-sized computers harvest from sun and motion, and how much work can they do with it?

Pete Warden reports in from the ARM Research Summit, where James Myers presented on "energy harvesting" by microscopic computers -- that is, using glints of sunlight and the jostling of motion from bumping into things or riding on our bodies to provide power for computation. Read the rest

Free audiobook of Car Wars, my self-driving car/crypto back-door apocalypse story

Last month, Melbourne's Deakin University published Car Wars, a short story I wrote to inspire thinking and discussion about the engineering ethics questions in self-driving car design, moving beyond the trite and largely irrelevant trolley problem. Read the rest

Interviewing for Amazon: a literal Orwellian experience

Shivan, a computer science student in Montreal, applied for a job at Amazon; the second round interview was conducted remotely by a proctor from an online service called Proctor U who insisted that Shivan install a remote-access trojan on his computer that let the proctor completely control his machine; then he was made to use the camera on his laptop to give the proctor a view of his room and all the things in it (with the proctor barking orders at him to shift his belonging around to give a better view. Read the rest

Accelerando: once you teach a computer to see, it can teach itself to hear

In SoundNet: Learning Sound Representations from Unlabeled Video, researchers from MIT's computer science department describe their success in using software image-recognition to automate sound recognition: once software can use video analysis to decide what's going on in a clip, it can then use that understanding to label the sounds in the clip, and thus accumulate a model for understanding sound, without a human having to label videos first for training purposes. Read the rest

Google and Facebook's "fake news" ban is a welcome nail in the coffin of "software objectivity"

In the wake of the Trump election -- a triumph of fake news -- both Google and Facebook have announced that they will take countermeasures to exclude "fake news" from their services, downranking them in the case of Facebook and cutting them off from ad payments in Google's case. Read the rest

A Spotify bug thrashed subscribers' drives for the past five months

The Mac/Win/Lin versions of Spotify wrote hundreds of gigabytes of bad data per day to their 40,000,000 users, thrashing their drives. Read the rest

Clinton's data-driven "ground game" sucked in exactly the same way "targeted ads" suck, for the same reason

Tom Ewing rails against the Clinton campaign's reliance on "micro-modelling preference at an individual voter level to tell [volunteers] who to turn out where with what message and where to allocate resources." Read the rest

Edward Snowden to Trump campaign: "old laptops" could vet 800,000 emails in "minutes-to-hours"

As the FBI announced that it had reviewed the emails on Anthony Weiner's laptop and determined that there was no incriminating material about Hillary Clinton on them, the Trump campaign roared with incredulity, insisting that it was inconceivable that the FBI could have vetted 800,000 emails in 8 days. Read the rest

Using machine-learning to auto-gen scary faces and hauntify buildings

The Nightmare Machine is an MIT project to use machine learning image-processing to make imagery for Hallowe'en. Read the rest

Using Machine Learning to synthesize images that look NSFW but aren't

Yahoo has released a machine-learning model called open_nsfw that is designed to distinguish not-safe-for-work images from worksafe ones. By tweaking the model and combining it with places-CNN, MIT's scene-recognition model, Gabriel Goh created a bunch of machine-generated scenes that score high for both models -- things that aren't porn, but look porny. Read the rest

More posts