Improving hurricane modeling with physics-informed machine learning
Hurricanes, or tropical cyclones, can be devastating natural disasters, leveling entire cities and claiming hundreds or thousands of lives. A key aspect of their destructive potential is their unpredictability. Hurricanes are complex weather phenomen.....»»
Mitigating animal-vehicle collisions with field sensors, AI and ecological modeling
Collisions between animals and vehicles are a threat to conservation efforts and human safety, and have a massive cost for transport infrastructure managers and users......»»
By looking at individual atoms in tooth enamel, researchers are learning what happens to our teeth as we age
Teeth are essential for helping people break down the food they eat, and are protected by enamel, which helps them withstand the large amount of stress they experience as people chew away. Unlike other materials in the body, enamel has no way to repa.....»»
New physics sim trains robots 430,000 times faster than reality
"Genesis" can compress training times from decades into hours using 3D worlds conjured from text. On Thursday, a large group of university and private industry researchers unveile.....»»
macOS 15.2 Sequoia backup bug(s) affecting Time Machine, CCC, and more
One or more backup bugs in macOS 15.2 Sequoia is affecting Apple’s own Time Machine utility, as well as third-party apps SuperDuper and CarbonCopyCloner. Initially the problem appeared to affect bootable backups only, but it now appears that it.....»»
Apple-Nvidia collaboration triples speed of AI model production
Apple's latest machine learning research could make creating models for Apple Intelligence faster, by coming up with a technique to almost triple the rate of generating tokens when using Nvidia GPUs.Training models for machine learning is a processor.....»»
Algorithms can determine whether a whiskey is of American or Scotch origin
Two machine learning algorithms can determine whether a whiskey is of American or Scotch origin and identify its strongest aromas, according to research published in Communications Chemistry. The results also suggest that the algorithms can outperfor.....»»
Tech used by WWI flying aces inspires new cellular behavior discovery
Researchers at the University of Massachusetts Amherst have designed a new technology that takes inspiration from WWI fighter aircraft machine gun and propeller synchronization to manipulate cell behavior by precisely modulating the pH of the cell's.....»»
Anomalous magnetic moment of the muon: New calculation confirms Standard Model of particle physics
The magnetic moment of the muon is an important precision parameter for putting the Standard Model of particle physics to the test. After years of work, the research group led by Professor Hartmut Wittig of the PRISMA+ Cluster of Excellence at Johann.....»»
Machine learning offers new framework for heterogeneous catalyst data analysis
Machine learning (ML) transforms the design of heterogeneous catalysts, traditionally driven by trial and error due to the complex interplay of components. BIFOLD researcher Parastoo Semnani from the ML group of BIFOLD Co-Director Klaus-Robert Mülle.....»»
New software unlocks secrets of cell signaling, showing realistic simulations
Researchers at University of California San Diego have developed and tested a new software package, called Spatial Modeling Algorithms for Reactions and Transport (SMART), that can realistically simulate cell-signaling networks—the complex systems.....»»
Study finds aquatic vegetation removal benefits health and economy
Turning aquatic vegetation near agricultural land into compost simultaneously eradicates habitat for disease-carrying snails while improving agricultural output and increasing incomes in northern Senegal, Cornell researchers have found......»»
Fluorination strategy unlocks graphene"s potential for optoelectronic and energy applications
Researchers from Tohoku University and collaborators have developed a weak fluorination strategy to address the zero-bandgap limitation of graphene. Details of the research were published in the journal Applied Physics Letters......»»
Why natural disasters hit harder in rural school districts
A week after Hurricane Sandy flooded New York City's streets and subways in 2012, the city's schools were back in business. But schools in rural North Carolina did not reopen until almost a month after Hurricane Helene roared through in late Septembe.....»»
Machine learning framework improves groundwater recharge estimates in Western Australia
A new study led by Griffith University has unveiled a machine learning-based framework to accurately estimate groundwater recharge in the Perth Basin, with a particular focus on the Gnangara groundwater system......»»
Key steps to scaling automated compliance while maintaining security
In this Help Net Security interview, Vivek Agarwal, Privacy Program Manager at Meta Platforms, shares insights on strategies for reducing time to market, improving vendor onboarding, and updating privacy requirements to ensure compliance across third.....»»
The physics of random stacking: Perspectives on stability and chaos
Pile up blocks until the tower collapses. But why does the tower always end up collapsing? Is it possible that it can be built ad infinitum? A study published in the International Journal of Solids and Structures explores the fascinating and complex.....»»
XAI benefits to hydrological modeling obscured by hype
Hydrologic modelers are increasingly using explainable AI (XAI) to provide additional insight into complex hydrological problems, but a new University of Adelaide study suggests XAI's insights may not be as revolutionary as proponents suggest......»»
Can deep learning techniques predict sudden state transitions in nonlinear dynamical systems?
Nonlinear dynamical systems are systems that can undergo sudden shifts not due to changes in their state or stability, but in response to the rate at which external conditions or parameters change. These sudden shifts, known as noise-induced and rate.....»»
Physics and emote design: Quantifying clarity in digital images
When analyzing artworks, understanding the visual clarity of compositions is crucial. Inspired by digital artists, Okinawa Institute of Science and Technology (OIST) researchers from the Mechanics and Materials Unit have created a metric to quantify.....»»
Plagiarism detection software sparks widespread student concern
In a new study, around half of the high school and university students from seven European countries are concerned about the use of plagiarism detection software in education. Their concerns lead to counterproductive behavior and misdirected learning.....»»