This week, we’re sharing a roundup of the 5 of the most compelling applications of artificial intelligence and machine learning technologies. From the cosmos to reshaping the oil and gas industry, these technologies are being applied in revolutionary ways to solve previously impossible problems.
This spring, regulators in Wyoming were scrambling to figure out how to process 10,000 applications for oil and gas permits filed since oil prices began to rise in early 2016. At the same time, new permits were streaming in at an unprecedented rate, raising concerns that some proposed energy projects would not get the scrutiny – or public input – they warranted.
It was exactly the kind of problem people in the artificial intelligence community love to solve; it just hadn’t been considered for environmental permitting before. Trained algorithms can sort through applications for oil and gas permits to extract information and themes, catching problems before they occur. AI would bring a new level of transparency to today’s outdated and overwhelmed energy development reviews.
By Jonathan O’Callahan (@Astro_Jonny), IFL Science
Artificial intelligence is being used to decipher graffiti dating back centuries in Ukraine, according to a new study.
Published on the pre-print server arXiv, researchers from the National Technical University of Ukraine and Huizhou University’s School of Information Science and Technology have been using machine learning to examine some of the ancient letters on St. Sophia’s Cathedral in Kiev.
Using more than 4,000 images of 34 glyphs, the team trained a neural network to examine and study the letters. And they found that it was 99 percent accurate in picking out specific characters.
Fast radio bursts are powerful blasts of energy from across the cosmos caused by unknown events, perhaps emissions from a collapsed and highly magnetized neutron star. One FRB source has attracted attention because it repeats. Researchers recorded radio data from this source and scraped it with a new machine learning algorithm that uncovered 72 new bursts undetected by normal techniques.
RevJet, creator of The Ad Experience Platform powering digital ad experiences for Fortune 500 marketers, announced the addition of two AI powered apps available to RevJet subscribers through the RevJet AppXchange. With RevJet’s AppXchange, marketers and agencies can easily connect with key apps that power their creative strategy and management. From leveraging first-party data and creating complex animations to scaling the best-performing social media creative and now, AI-powered product recommendations, RevJet provides the most extensible SaaS platform for the modern marketer.
Insilico Medicine, Inc., a Rockville-based next-generation artificial intelligence company specializing in the application of deep learning for target identification, drug discovery and aging research announces the publication of a new research paper "Entangled Conditional Adversarial Autoencoder for de-novo Drug Discovery" in Molecular Pharmaceutics, the leading American Chemical Society journal covering research on the molecular mechanistic understanding of drug delivery and drug delivery systems. The authors presented an original deep neural network architecture, Entangled Conditional Adversarial Autoencoder (ECAAE), which generates molecular structures based on various properties such as activity against a specific protein, solubility, and ease of synthesis. ECAAE was used to generate a novel inhibitor of Janus Kinase 3 (JAK3), implicated in rheumatoid arthritis, psoriasis, and vitiligo. The discovered molecule was tested in vitro and demonstrated high activity and selectivity.