Red Ferret: Death Metal AI – this neural network wants to rock

Red Ferret: Death Metal AI – this neural network wants to rock. “We’ve seen a lot of interesting AI projects from romance novels to scripts. For your music fans there’s a new bot on the horizon. Relentless Doppelganger is the Death Metal rocker a neural network dreamed up. And it’s streaming 24/7.”

Phys .org: New algorithm allows for faster, animal-free chemical toxicity testing

Phys .org: New algorithm allows for faster, animal-free chemical toxicity testing. “The use of animals to test the toxicity of chemicals may one day become outdated thanks to a low-cost, high-speed algorithm developed by researchers at Rutgers and other universities.”

Search Engine Journal: Free Google AI Image Analysis Tool

Search Engine Journal: Free Google AI Image Analysis Tool. “A new tool published by Google analyzes your images. The machine learning/artificial intelligence algorithm tells you what it thinks the image is relevant for. This tool demonstrates Google’s AI and Machine Learning algorithms for understanding images. It’s a part of Google’s Cloud Vision products.” A reader sent me a beautiful artwork of the Virgin Mary that they had taken at Notre Dame (thanks, Kathleen!) so I tried that image. Google reported that as “Mirror,” giving me my first big laugh of the morning. To be fair the other tabs of information were a bit more on base.

The Register: We know you all want to shove AI where the sun doesn’t shine. And that’s exactly where it’s going – detecting prostate cancer

The Register: We know you all want to shove AI where the sun doesn’t shine. And that’s exactly where it’s going – detecting prostate cancer . “A team of radiologists at the University of California, Los Angeles, built a convolutional neural network to analyse MRI scans of male nether regions and detect signs of the cancer. These types scans are a lot less invasive method than doctors delicately delving in to collect tissue for biopsies.”

Forbes: Could AI Create A Super Wikipedia From All Of Recorded History?

Forbes: Could AI Create A Super Wikipedia From All Of Recorded History?. “What might it look like to use machines to fill in the gaps in our history? Visualizing 200 years of human history through the eyes of the English language edition of Wikipedia reminds us how much of the interdependence and connectivity among global events is missing the further back through history we look. In Wikipedia’s telling of history, events become more and more detached and disconnected the further back one goes, transitioning from a collection of largely isolated occurrences 200 years ago to a globalized world today in which almost everything is connected to everything else. This reflects the changing nature of how we record our history, but could AI help?”

Laughing Squid: ‘You Can’t Take My Door’, A Country Song Created by a Neural Network That Studied a Catalog of Country Hits

Laughing Squid: ‘You Can’t Take My Door’, A Country Song Created by a Neural Network That Studied a Catalog of Country Hits. “Elle O’Brien and a team from Botnik Studios created a predictive AI country song entitled ‘You Can’t Take My Door’. The song was created by training a neural network to learn country music hits and then produce one of its own. The song was then arranged and performed by humans. The accompanying video reflects all of the colorful imagery in the song.”

VentureBeat: Facebook’s AI can convert one singer’s voice into another

VentureBeat: Facebook’s AI can convert one singer’s voice into another. “AI can generate storyboard animations from scripts, spot potholes and cracks in roads, and teach four-legged robots to recover when they fall. But what about adapting one person’s singing style to that of another? Yep — it’s got that down pat, too.”