Bigger models, more parameters, higher benchmarks. There is often a fixation on scale in the discourse around AI, making it easy to assume that the bigger a Large Language Model (LLM) is, the better ...
Abstract: Anomaly detection is a critical task in industrial manufacturing, aiming to precisely localize defective regions in products. Traditional methods face challenges in acquiring sufficient ...
Abstract: To address the challenges of semantic parsing of multi-source heterogeneous information and the delayed emergency response decisions caused by insufficient relational reasoning capabilities ...
A 24-month study of over 516,000 Canadians found that a commercial fitness app offering micro-incentives led to very small ...
The programme is designed for aspiring data scientists, AI enthusiasts, technology professionals seeking to upskill.
The author investigates how probabilistic classification can be used to enhance credit-scoring accuracy, offering a robust means for assessing model performance ...
Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...
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