Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting?
This review systematically examines the integration of machine learning (ML) and artificial intelligence (AI) in nanomedicine ...
An ongoing lawsuit filed against Workday shows that AI risk in hiring is not theoretical, writes Benjamin Shippen of BRG.
Artificial Intelligence that detects breast cancer, enables medical imaging in low-resource countries and that identifies the ...
Traditional financial distress prediction relies heavily on backward-looking financial indicators such as leverage, liquidity ...
Reduced costly care: Behavioral health–related emergency department visits and inpatient admissions decreased by 35% and 43%, respectively. Lower total medical costs: The intervention group saved ...
Tech Xplore on MSN
A smarter way for large language models to think about hard problems
To make large language models (LLMs) more accurate when answering harder questions, researchers can let the model spend more ...
Mathematics is the cornerstone of science, technology, and money. It comprises branches like Calculus and Algebra, ...
This study presents a large, systematically curated catalog of non-canonical open reading frames (ncORFs) in human and mouse by reanalyzing nearly 400 Ribo-seq datasets using a standardized pipeline; ...
A recent study shows that 1 in 5 people use AI every day. From the chatbot helping you budget smarter to the recommendations ...
This report provides useful evidence that EABR mRNA is at least as effective as standard S mRNA vaccines for the SARS-CoV-2 booster vaccine. Although the methodology and the experimental approaches ...
Water Distribution, Hydraulic Modeling, EPANET, Optimization, Extended Period Simulation Charles, G. , Swilla, L. , Tarimo, I ...
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