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Smarter supply chains through data-driven insights

From AI-powered forecasting to real-time visibility, supply chain analytics is reshaping how businesses predict demand, manage inventory, and respond to disruptions. Leaders like Walmart are using ...

New AI framework autonomously optimizes training data, architectures and algorithms — outperforming human baselines

EVOLVE, an agentic framework that autonomously optimizes AI training data, model architectures, and learning algorithms — ...
Hosted on MSN

Master machine learning with Python projects

Python remains the go-to language for mastering machine learning, offering a rich ecosystem of libraries, frameworks, and real-world projects to build practical skills. From predictive maintenance to ...
AZoRobotics

Machine Learning Predicts Toxic Metal Levels in Marine Systems

Combining machine learning and feature selection, this research accurately predicts aluminum levels in marine environments, ...
Greater Greater WashingtonOpinion

How I used friendly neighborhood data science to advocate for housing in Arlington

This writer used homebrew econometrics to advocate for a housing proposal in Pentagon City. Others with data analysis acumen ...
Devdiscourse

AI reveals which water is safe for irrigation and which isn’t

Analysis of the 191 samples shows that 55 percent of groundwater falls within low to no restriction categories for irrigation ...
EurekAlert!

Image-based machine learning framework sharpens battery health estimation across varying conditions

Researchers have developed an integrated framework for estimating battery state of health, or SOH, by combining incremental ...
IEEE

Explainable Machine Learning for Sleep Health Analysis Using XGBoost and SHAP Interpretability

With the integration of machine learning techniques into the medical field, there has been a sea change in the last couple of years, and a new era of innovation seems to usher in precision healthcare ...
IEEE

Advanced Machine Learning Models for Predicting Irrigation Water Quality: A Comparative Study of LSTM, SVM, and XGBoost Algorithms in Rice Cultivation

Abstract: Managing Irrigation water quality plays a crucial role in ensuring healthy crops and sustainable agricultural practices, particularly in rice farming. This study evaluates the effectiveness ...
Forbes

Machine Learning Trends For 2026

You're probably a little tired of reading or hearing about AI, right? Well, if that's the case, then you're in the right place because here, we're going to talk about machine learning (ML). Yes, it's ...
Phys.org

Machine learning algorithm fully reconstructs LHC particle collisions

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...
CNBC

Gold and silver price swings are powering algo traders and machine-learning funds

Machine-learning hedge funds surged on the recent jump in precious metals prices, before sidestepping last week's sell-off. Also known as commodity trading advisors (CTAs), the sector notched up one ...