Bloomberg Quint: Google’s DeepMind To Create Product to Spot Eye Disease. “DeepMind, the London-based artificial intelligence company that is owned by Alphabet Inc., plans to develop a medical product that will help doctors to detect more than 50 sight-threatening conditions from a common type of eye scan.”
AI
MIT Technology Review: A small team of student AI coders beats Google’s machine-learning code
MIT Technology Review: A small team of student AI coders beats Google’s machine-learning code. “Students from Fast.ai, a small organization that runs free machine-learning courses online, just created an AI algorithm that outperforms code from Google’s researchers, according to an important benchmark. Fast.ai’s success is important because it sometimes seems as if only those with huge resources can do advanced AI research.
The Register: Oomm-tsss, oomm-tsss, Oomm-tsss, oomm-tsss… it’s an AI beatbox
The Register: Oomm-tsss, oomm-tsss, Oomm-tsss, oomm-tsss… it’s an AI beatbox. “Vid AI can now beatbox for you for hours on end using your voice, if you’re into that kind of thing. Nao Tokui – a visiting associate professor at Kyushu University in California and a CEO of Qosmo, an AI and music startup – has developed a neural-network-based system that collects about 20 seconds of any sound to produce a custom drum kit, and then automatically sequences rhythms using those utterances and noises.”
MIT Technology Review: The Defense Department has produced the first tools for catching deepfakes
MIT Technology Review: The Defense Department has produced the first tools for catching deepfakes. “The tools for catching deepfakes were developed through a program—run by the US Defense Advanced Research Projects Agency (DARPA)—called Media Forensics. The program was created to automate existing forensics tools, but has recently turned its attention to AI-made forgery.”
ScienceBlog: Artificial Intelligence Device Identifies Objects At The Speed Of Light
ScienceBlog: Artificial Intelligence Device Identifies Objects At The Speed Of Light. “A team of UCLA electrical and computer engineers has created a physical artificial neural network — a device modeled on how the human brain works — that can analyze large volumes of data and identify objects at the actual speed of light. The device was created using a 3D printer at the UCLA Samueli School of Engineering.”
Facial Recognition: Should We Fear It or Embrace It? (PC Magazine)
PC Magazine: Facial Recognition: Should We Fear It or Embrace It?. “Advances in deep learning and artificial neural networks have propelled the speed and accuracy of facial recognition to new levels. But who’s making sure the tech is not being abused? At least one tech CEO is in favor of regulation to address this.”
The Next Web: World class AI experts share what their favorite algorithm is
The Next Web: World class AI experts share what their favorite algorithm is. “From keeping our inboxes free from SPAM to mining your favorite cryptocurrencies, algorithms are all around us. While we feel like we’re drowning in an ocean of big data, clever algorithms are actually helping us to make sense of it all. And although these algorithms are ruling the world, we seem to know very little about them. How do they work? By whom were they created?” Only four experts. I’d love to see a more extended version of this article.
