ScienceBlog: Researchers Find Way To Harness AI Creativity. “A team led by Alexander Wong, a Canada Research Chair in the area of AI and a professor of systems design engineering at the University of Waterloo, developed a new type of compact family of neural networks that could run on smartphones, tablets, and other embedded and mobile devices. The networks, called AttoNets, are being used for image classification and object segmentation, but can also act as the building blocks for video action recognition, video pose estimation, image generation, and other visual perception tasks.”
AI
The Next Web: Pinterest says AI reduced self-harm content on its platform by 88%
The Next Web: Pinterest says AI reduced self-harm content on its platform by 88%. “Yesterday, on international World Mental Health Day, Pinterest announced in a blogpost that for the past year, it’s been using machine learning techniques to identify and automatically hide content that displays, rationalizes, or encourages self-injury. Using this technology, the social networking company says it has achieved an 88 percent reduction in reports of self-harm content by users, and it’s now able to remove harmful content three times faster than ever before.”
MIT News: Using machine learning to hunt down cybercriminals
MIT News: Using machine learning to hunt down cybercriminals. “Existing efforts to detect IP hijacks tend to look at specific cases when they’re already in process. But what if we could predict these incidents in advance by tracing things back to the hijackers themselves? That’s the idea behind a new machine-learning system developed by researchers at MIT and the University of California at San Diego (UCSD).”
Phys .org: Scientists use machine-learning algorithms to help automate plant studies
Phys .org: Scientists use machine-learning algorithms to help automate plant studies. “Father of genetics Gregor Mendel spent years tediously observing and measuring pea plant traits by hand in the 1800s to uncover the basics of genetic inheritance. Today, botanists can track the traits, or phenotypes, of hundreds or thousands of plants much more quickly, with automated camera systems. Now, Salk researchers have helped speed up plant phenotyping even more, with machine-learning algorithms that teach a computer system to analyze three-dimensional shapes of the branches and leaves of a plant.”
Harvard Business Review: Most Analytics Projects Don’t Require Much Data
Harvard Business Review: Most Analytics Projects Don’t Require Much Data. “n their headlong rush into advanced data science, big data, machine learning, and artificial intelligence, too many companies have ignored ‘small data.’ This is a huge miss. The relative ease, ubiquity, and power of small data projects carry profound implications for all employees, managers, and leaders at all levels, in every department, in every organization.”
Boing Boing: Neural net-generated prompts for Inktober
Boing Boing: Neural net-generated prompts for Inktober. “It’s Inkotober, when ‘artists all over the world take on the Inktober drawing challenge by doing one ink drawing a day the entire month.’ In a fun experiment, Janelle Shane trained a neural net with prior Inktober prompts and picked out some promising concepts like ‘ornery beach sheep’ and ‘BUG IN HUMAN SHAPE.'”
Variety: Twitch’s Latest Music Channel Wants to Put Gamers to Sleep
Variety: Twitch’s Latest Music Channel Wants to Put Gamers to Sleep. “Twitch has teamed up with Berlin-based generative music startup Endel for a new channel that aims to lull gamers and other Twitch viewers to sleep. Endel’s new ‘Insomnia’ Twitch channel plays 24 hours of music specifically designed to improve the sleep of its listeners.”
