Indian-origin sixth-grader trains machine-learning model to spot lithium deposits with 89% accuracy

Ishaan Dokania, a sixth-grader from Oregon, is exploring lithium resource identification using satellite imagery and machine ...

What this machine-learning model with 65% accuracy says is coming next for the 10-year Treasury

HSBC says it’s designed a machine-learning model to predict the direction of the most important financial instrument in global markets.
asce.org

Machine Learning, Wetlands, and Nature-Based Solutions for Coastal Engineering

This presentation explores how machine learning can be used to model storm surge hazards at continental and global scales. Participants will learn why broadscale storm surge information is important ...
BIOENGINEER

Machine Learning Fine-Tunes the Quantum Math Behind Real Transmon Qubits

Quantum computers promise to solve problems that stump even the most powerful supercomputers, but the machines themselves are ...

How Far Can Machine Learning Be Used for Human Pharmacokinetic Prediction? — Roles of Allometry, PBPK, and Machine Learning

Hello.This is Pharmer.In this article, I will organize how far machine learning can be used for human pharmacokinetics (PK) ...
HackerNoon

How to Validate Financial Machine Learning Beyond Accuracy and Backtests

Why accuracy and strong backtests can mislead in ML—and why reproducibility, leakage-safe validation, and economic evidence ...

4 Books That Bridge the Gap Between Machine Learning Theory and Implementation

Introduction A few years ago, I took over a demand forecasting model from a colleague who had left the company. The notebook ...
techtarget

How engineers can build a machine learning model in 8 steps

Machine learning (ML) is a foundational technology for modern AI, transforming the operational landscape of contemporary businesses. ML technology uses data to find patterns, spot anomalies and make ...
HackerNoon

Building a Production CI/CD Pipline for Machine Learning Models Across Distributed Industrial Plants

I ML deployment is different from cloud CI/CD. Learn how site-aware validation, versioned models, staged rollouts, and ...
European Medical Journal

Machine Learning Predicts Heparin Response During AF Ablation

Machine learning predicted activated clotting time during AF ablation, with deep learning achieving 81% accuracy.
Nature

Machine Learning Applications in Liver Disease Diagnosis articles from across Nature Portfolio

Steatotic liver disease (SLD), formerly named fatty liver disease, has a prevalence estimated at 30–38% in adults. Detection of SLD is important, since prompt initiation of treatment can stop disease ...