Researchers from New Zealand have restored the very first recording ever made of computer generated music. The three simple melodies, laid down in 1951, were generated by a machine built by the esteemed British computer scientist Alan Turing. READ MORE: Listen to the First Music Ever Made With a Computer | Gizmodo
When the writer Rebecca Forster first heard how Google was using her work, it felt like she was trapped in a science fiction novel. “Is this any different than someone using one of my books to start a fire? I have no idea,” she says. “I have no idea what their objective is. Certainly it is not to bring me readers.”
After a 25-year writing career, during which she has published 29 novels ranging from contemporary romance to police procedurals, the first instalment of her Josie Bates series, Hostile Witness, has found a new reader: Google’s artificial intelligence.
“My imagination just didn’t go as far as it being used for something like this,” Forster says. “Perhaps that’s my failure.” Forster’s thriller is just one of 11,000 novels that researchers including Oriol Vinyals and Andrew M Dai at Google Brain have been using to improve the technology giant’s conversational style. After feeding these books into a neural network, the system was able to generate fluent, natural-sounding sentences. READ MORE: Google swallows 11,000 novels to improve AI’s conversation | Books | The Guardian
Photo Source: engadget + Scott Horowitz
[P]roof that crowdsourced science can solve problems quickly. READ: Gamers beat scientists to making a protein discovery | Engadget
Penguin Canada opened a bookshop! And it’s really pretty. SEE THE PICS: Cool Bookish Places: The Penguin Bookshop in Toronto | BOOKRIOT
Photo Source: HBR
How can companies get a better idea of which skills employees and job candidates have? While university degrees and grades have done that job for a long time, they’ve done it imperfectly. In today’s rapidly evolving knowledge economy, badges, nanodegrees, and certificates have aimed to bridge the gap – but also leave a lot to be desired. While HR departments are eager for better “people analytics,” that concept is still fuzzy. And simply collecting data is not enough – to be used, data has to be presented usefully. READ MORE: We Need a Better Way to Visualize People’s Skills | HBR
Over four years, Archer and Jockers fed 5,000 fiction titles published over the last 30 years into computers and trained them to “read”—to determine where sentences begin and end, to identify parts of speech, to map out plots. They then used so-called machine classification algorithms to isolate the features most common in bestsellers. READ MORE: Algorithms Could Save Book Publishing—But Ruin Novels | WIRED
WHEN HIS DAUGHTERS were young, Nader Hamda says, they were really into apps and computers. But now that they’re a little older, their interest is waning. And that’s not unusual. “They’re not an exception,” he says. “They’re more of a rule.”
Sadly, this is true. According to numerous studies, young girls are moving away from computer science, not towards it. And Hamda says this is why his company, Ozobot, is now offering an educational robot called Evo. Evo is small and spherical, only about an inch in diameter. It looks kinda like an IBM Selectric type ball. But it’s also designed to be social.
It has open-sourced an algorithm that describes images with 94 percent accuracy… READ MORE: Google’s AI is getting really good at captioning photos | Engadget
New software tools have enabled scientists to read an ancient, damaged Hebrew scroll without ever unfurling the fragile, disintegrating parchment.
The digitization techniques, known as “volume cartography,” transformed what were the charred remains of the nearly 2,000-year-old En-Gedi scroll into legible columns of handwritten text from the book of Leviticus, according to a study published Wednesday in the journal Science Advances.
“We are reading a real scroll that hasn’t been read for millennia,” said Brent Seales, who helped develop the cartography techniques and is a computer sciences professor at the University of Kentucky in Lexington.