Mozilla Blog: Examining AI’s Effect on Media and Truth. “It’s a complicated issue, but this much is certain: The artificial intelligence (AI) powering the internet is complicit. Platforms like YouTube and Facebook recommend and amplify content that will keep us clicking, even if it’s radical or flat out wrong. Earlier this year, Mozilla called for art and advocacy projects that illuminate the role AI plays in spreading misinformation. And today, we’re announcing the winners: Eight projects that highlight how AI like machine learning impacts our understanding of the truth.”
EOS: Finding Faces in Hailstorms. “Hail can be among the most damaging of severe weather phenomena, but predicting whether a passing thunderstorm might start spitting pea-sized (or golf ball–sized) hailstones is notoriously difficult. A new approach using machine learning techniques related to facial recognition technology is giving meteorologists a new tool for mapping how various components of a storm might add up to dangerous hail conditions.”
Phys .org: Chemists show how bias can crop up in machine learning algorithm results. “A team of material scientists at Haverford College has shown how human bias in data can impact the results of machine-learning algorithms used to predict new reagents for use in making desired products. In their paper published in the journal Nature, the group describes testing a machine-learning algorithm with different types of datasets and what they found.”
Iowa State University: Chasing storm data: machine learning looks for useful data in U.S. thunderstorm reports. “When [Bill] Gallus heard campus colleagues from Iowa State’s Theoretical and Applied Data Science research group talk about machine learning, he thought the technology’s data analysis capabilities could help him study and analyze the Storm Reports database. Maybe the computers could find relationships or connections in the reports that could lead to new forecasting tools? Well, not so fast, said scientists at the National Oceanic and Atmospheric Administration (NOAA).”
Bangkok Post: Nectec launches website with AI database. “The National Electronics and Computer Technology Center (Nectec) has launched a website that allows programme developers, startups and businesses to access an artificial intelligence (AI) research database and services to develop products linked with the technology.” Web site is in Thai of course but translates easily.
New York Times: A Breakthrough for A.I. Technology: Passing an 8th-Grade Science Test. “The world’s top research labs are rapidly improving a machine’s ability to understand and respond to natural language. Machines are getting better at analyzing documents, finding information, answering questions and even generating language of their own.”
Phys .org: Using artificial intelligence to track birds’ dark-of-night migrations. “Now, with colleagues from the Cornell Lab of Ornithology and others, senior authors Sheldon and Subhransu Maji and lead author Tsung-Yu Lin at UMass’s College of Information and Computer Sciences unveil their new tool ‘MistNet.’ In Sheldon’s words, it’s the ‘latest and greatest in machine learning’ to extract bird data from the radar record and to take advantage of the treasure trove of bird migration information in the decades-long radar data archives. The tool’s name refers to the fine, almost invisible, ‘mist nets’ that ornithologists use to capture migratory songbirds.”