MIT Technology Review: A neural network can learn to organize the world it sees into concepts—just like we do

MIT Technology Review: A neural network can learn to organize the world it sees into concepts—just like we do. “As good as they are at causing mischief, researchers from the MIT-IBM Watson AI Lab realized GANs [Generative Adversarial Networks] are also a powerful tool: because they paint what they’re ‘thinking,’ they could give humans insight into how neural networks learn and reason. This has been something the broader research community has sought for a long time—and it’s become more important with our increasing reliance on algorithms.”

University of Arizona College of Science: Lum. AI (Tuscon)

Tuscon: University of Arizona College of Science: Lum. AI. “Researchers worldwide publish 2.5 million journal articles each year, adding to the tens of millions of scholarly articles in circulation. For a researcher or clinician, developing a holistic understanding of a field — for example, the systematic matching of genomic alterations in a tumor with proper drug treatments — is an immense task. Now imagine that those researchers, faced with trying to understand the various mechanisms and cellular processes involved in a specific tumor type, had a new tool: an automated system that could review all that literature — analyzing each academic paper in seconds — and extract key information that could help them generate easily interpretable answers and conclusions.”

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.”

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.”

Hackaday: Cheating AI Caught Hiding Data Using Steganography

Hackaday: Cheating AI Caught Hiding Data Using Steganography. “A mapping system started to perform too well and it was found that the system was not only able to regenerate images from maps but also add details like exhaust vents and skylights that would be impossible to predict from just a map. Upon inspection, it was found that the algorithm had learned to satisfy its learning parameters by hiding the image data into the generated map. This was invisible to the naked eye since the data was in the form of small color changes that would only be detected by a machine. How cool is that?!”

Arizona State University: A leap of progress for energy-efficient intelligent computing

Arizona State University: A leap of progress for energy-efficient intelligent computing. “The need for sustainable computing platforms has motivated Jae-sun Seo and Shimeng Yu, faculty members at Arizona State University and Georgia Tech, respectively, to explore emerging memory technologies that will enable parallel neural computing for artificial intelligence.”

BetaNews: Krisp reduces background noise on conference calls

Mac only at the moment, with Windows version on the way, from BetaNews: Krisp reduces background noise on conference calls. “Krisp 0.6.8 is a public beta of a brand new tool which has one job and that’s to reduce or virtually eliminate background noise. Using neural network artificial intelligence, Krisp will asses your voice and learns your speech, prioritizing this over other noise and thus reducing background sounds which may interfere with your call.”