From Text To Tables: Why Structured Data Is AI’s Next $600B Frontier

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...
Factinate on MSN

Scientists who modeled the lost canals of China's Liangzhu city confirmed a 5,000-year-old hydraulic system that rewrites early Chinese engineering

Water leaves a memory in the land. Even after thousands of years, it lingers as faint ridges and subtle curves that only ...
EurekAlert!

AI-accelerated gas sensing: a first-principles–guided machine learning platform for black phosphorus sensors

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
GitHub

GitHub - AbhishekDP2244/feature-forge: Intelligent feature engineering and selection for machine learning competitions and projects

FeatureForge automates the tedious process of feature engineering, allowing you to focus on model building and experimentation. Perfect for Kaggle competitions, ML projects, and rapid prototyping.
InfoQ

Learnings from Cultivating Machine Learning Engineers as a Team Manager

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
IEEE

Dense Stack Meta Ensemble Classifier (DSMEC): An Advanced Stacking Ensemble Approach for Early Cardiovascular Disease Prediction With Robust Feature Engineering

Abstract: Cardiovascular disease remains a major global health issue requiring accurate early risk prediction to enable timely intervention. Traditional approaches ...
Semiconductor Engineering

Machine Learning Tools Accelerate Materials Discovery

Literature searches, simulations, and practical experiments have been part of the materials science toolkit for decades, but the last few years have seen an explosion of machine learning-driven ...
Frontiers

Enhanced SQL injection detection using chi-square feature selection and machine learning classifiers

Computational and Communication Science and Engineering (CoCSE), The Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha, Tanzania In the face of increasing cyberattacks, ...
Scientific Research Publishing

Thabtah, F., Zhang, L. and Abdelhamid, N. (2019) NBA Game Result Prediction Using Feature Analysis and Machine Learning. Annals of Data Science, 6, 103-116.

ABSTRACT: This paper evaluates the performance of multiple machine learning models in predicting NBA game outcomes. Both regression and classification approaches were explored, with models including ...
Scientific Research Publishing

Papageorgiou, G., Sarlis, V. and Tjortjis, C. (2024) Evaluating the Effectiveness of Machine Learning Models for Performance Forecasting in Basketball: A Comparative Study ...

ABSTRACT: This paper evaluates the performance of multiple machine learning models in predicting NBA game outcomes. Both regression and classification approaches were explored, with models including ...
The New York Times

48 Hours Without A.I.

It’s everywhere, as the author learned the hard way while making as little contact as possible with machine learning and generative artificial intelligence. It’s everywhere, as the author learned the ...