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 ...
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 ...
Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...
Abstract: This paper focuses on a multidimensional indicator prediction assessment method based on time series and multiple linear regression modelling. Through in-depth analysis of relevant data, ...
The "VLA Large Model Applications in Automotive and Robotics Research Report, 2025" report has been added to ResearchAndMarkets.com's offering.
I'm reporting what appears to be a regression or a breaking change in the behavior of the az batch application package create command starting with azure-cli version 2.77.0. This change forces us to ...
The GitBook MCP server enables programmatic access to GitBook Organizations, Spaces, Collections, and Content through a standardized MCP interface. It provides 12 tools for content operations and 6 AI ...
Abstract: In this paper, a NEVC Dataset is constructed using 11 index data selected through principal component analysis and data transformation. Correlation analysis is performed based on Spearman ...
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