Large language models are routinely described in terms of their size, with figures like 7 billion or 70 billion parameters ...

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

The GC–MS dataset was integrated with the sensory data using a series of exploratory and predictive multivariate statistical ...

What is overfitting and underfitting in machine learning? What is Bias and Variance? Overfitting and Underfitting are two common problems in machine learning and Deep learning. If a model has low ...

A research team demonstrates that hyperspectral sensing, combined with advanced artificial intelligence, can accurately estimate multiple biochemical and mineral traits in grapevine leaves at once.

Anyone preparing for quant interviews must develop depth across several skill areas and know how to apply theory in a ...

1 Centre of Medical Ethics, The University of Oslo, Oslo, Norway 2 Institute of the Health Sciences, The Norwegian University of Science and Technology (NTNU), Gjøvik, Norway Biases in artificial ...

Black and brown students make up over half of U.S. K-12 students, yet many AI-driven ed-tech tools are not designed with their needs in mind, according to a yearslong project launched in 2020 by the ...

Department of Chemistry, University of Warwick, Coventry CV4 7AL, U.K. Department of Chemistry, University of Warwick, Coventry CV4 7AL, U.K. Centre for Doctoral Training in Modelling of Heterogeneous ...

This Under the Lens series explores the growing use of technology in the housing world. Can the proper guardrails be put in place so “innovative” tools don’t make the housing crisis worse? Top ...

We publish deeply researched (and often vastly underread) academic papers about our collective omnipresent media bias. byTech Media Bias [Research Publication]@mediabias byTech Media Bias [Research ...