Researchers introduce a group-driven initialization that fuses search history with graph modularity, boosting ...
Quantum walks sound abstract, but they sit at the center of a very concrete race: who will harness quantum mechanics to solve ...
There is no doubt what took centre stage in the theatre of business applications in 25: agentic AI, surpassing pre-2022 AI, and generative AI. C-level executives bang the AI drum while enterprises ...
The original version of this story appeared in Quanta Magazine. Imagine a town with two widget merchants. Customers prefer cheaper widgets, so the merchants must compete to set the lowest price.
Abstract: Machine Learning (ML) has been extensively utilized in the Measurement While Drilling (MWD) technology in the coal industry. However, there existed uncertainty about whether mainstream ...
Scanning electron microscopy (SEM) images are already a common staple of battery research. Now, they can be paired with a simple algorithm to enable better prediction of lithium metal battery ...
Katharine Paljug is a financial writer and editor with over a decade of industry experience. Her writing has covered nearly every aspect of the financial world, from investing in forex to paying for ...
For centuries, we have relied on human intuition, behavioral cues, and painstaking manual analysis to determine veracity in written communications. Enter artificial intelligence. AI algorithms, ...
College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China Three-dimensional geological modeling and visualization hold considerable significance for ...
Abstract: This study investigates the use of natural language processing language representation models as an early warning system for economic crises, and compares the performance of time series ...
ABSTRACT: COVID-19 is a disease caused by the novel coronavirus SARS-CoV-2 that emerged at the end of December 2019 and has since spread globally. In Kenya, the virus was first detected on 13th March ...
Using a simple algorithm to recommend highly effective disease-modifying therapies (DMTs) for people with multiple sclerosis (MS) can help make treatment fairer for all patients, and level ...