The latest JavaScript specification standardizes a well-balanced and thoughtful set of features, including the built-in ...

BW Converting’s Machine Learning Project Selected for New Microsoft AI Co-Innovation Lab in Milwaukee GREEN BAY, Wis. - June 27, 2025 - BW Converting is proud to announce that a digital innovation ...

W Converting's Accelerate digital services initiative, focused on fault anomalies, has been chosen as a project for the Microsoft AI Co-Innovation Lab at the University of Wisconsin-Milwaukee, ...

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing.

Researchers from MIT, Microsoft, and Google have introduced a “periodic table of machine learning” that stands to unify many different machine learning techniques using a single framework. Their ...

The Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) and several collaborating institutions have successfully demonstrated a machine-learning technique to accelerate the ...

Researchers from UCLA, Google DeepMind, and Google propose the “Embed-then-Regress” paradigm for in-context regression using string embeddings from pretrained language models. Converting all inputs ...

Hi, I'm trying to convert a Light GBMRegressor using the convert_lightgbm function. I am using a mix of categorical (string) and float values. However, when I try to specify differerent initial_typ ...

Learn how to handle edge cases when converting strings to floats in Python with practical data engineering tips.

To address this problem, researchers from Cornell University and Amazon have introduced COLLAGE, a novel approach that employs a Multi-Component Float (MCF) representation to accurately handle ...