Bloomberg Quint: U.S. Military Trusted More Than Google, Facebook to Develop AI

Bloomberg Quint: U.S. Military Trusted More Than Google, Facebook to Develop AI. “Facebook Inc. is among the technology companies leading the race to develop artificial intelligence. But Americans don’t trust it to do so responsibly, a survey from a U.K. think tank has found. More than two-thirds of those surveyed said they had either ‘no confidence’ or ‘not too much confidence’ in Facebook developing A.I., a report from the Center for the Governance of AI, part of the Future of Humanity Institute at the University of Oxford, said. ”

Tech Xplore: A new algorithm for solving archaeological puzzles

Tech Xplore: A new algorithm for solving archaeological puzzles. “A team of researchers at Technion and the University of Haifa have developed a new computer vision approach for solving archaeological puzzles. In their paper, pre-published on arXiv, they introduce a general algorithm that can automatically reassemble fragments of archaeological artifacts.”

The Elephant In The Room: Artificial Intelligence Used To Process Governor Tim Kaine’s E-Mails (Virginia Memory)

Virginia Memory: The Elephant In The Room: Artificial Intelligence Used To Process Governor Tim Kaine’s E-Mails. “How do you eat an elephant? One bite at a time. For the past seven years, that’s how we’ve been tackling the task of processing the 1.5 million e-mails transferred to the Library of Virginia in 2010 as part of the electronic records of outgoing Governor Tim Kaine. When Kaine announced his candidacy for the U.S. Senate in 2011, the Library challenged itself to make the Kaine administration’s e-mail records available for research in time for the 2012 election. What did that entail? Basically, we had to figure out how to separate whatever portion of those 1.5 million e-mails shouldn’t be included in our online collection—either because they aren’t records of enduring value (think e-mails announcing doughnuts in the break room) or because they contain sensitive materials such as attorney-client privileged communications, privacy-protected information, or operational security details.”

TechXplore: A system to generate new song lyrics that match the style of specific artists

TechXplore: A system to generate new song lyrics that match the style of specific artists. “Researchers at the University of Waterloo, Canada, have recently developed a system for generating song lyrics that match the style of particular music artists. Their approach, outlined in a paper pre-published on arXiv, uses a variational autoencoder (VAE) with artist embeddings and a CNN classifier trained to predict artists from MEL spectrograms of their song clips.”

The Atlantic: How a Feel-Good AI Story Went Wrong in Flint

The Atlantic: How a Feel-Good AI Story Went Wrong in Flint. “More than a thousand days after the water problems in Flint, Michigan, became national news, thousands of homes in the city still have lead pipes, from which the toxic metal can leach into the water supply. To remedy the problem, the lead pipes need to be replaced with safer, copper ones. That sounds straightforward, but it is a challenge to figure out which homes have lead pipes in the first place. The City’s records are incomplete and inaccurate. And digging up all the pipes would be costly and time-consuming. That’s just the kind of problem that automation is supposed to help solve.”