Nature

Machine Learning Techniques for Climate Data Downscaling articles from across Nature Portfolio

Earth System Models (ESM) are our main tool for projecting the impacts of climate change. However, running these models at sufficient resolution for local-scale risk-assessments is not computationally ...
Nature

Feature Selection Techniques in Machine Learning Systems articles from across Nature Portfolio

Feature selection (FS) is a critical step in hyperspectral image (HSI) classification, essential for reducing data dimensionality while preserving classification accuracy. However, FS for HSIs remains ...
Newswise

Organic Chemists Harness AI to Reveal Reaction Secrets - a New Method Uses Machine Learning to Extract Reaction Speeds From Yield Data Obtained During Rea…

Chemists routinely optimize reactions to maximize the yield of their desired products, but understanding why those reactions ...
BIOENGINEER

Machine learning method dicast spots disease-causing DNA deletions short-read tools miss

Structural variants—large-scale rearrangements of the genome that include deletions, duplications, inversions and insertions ...
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 ...
Medical Xpress

Integrating machine learning with statistical methods enhances disease risk prediction models

Researchers from Peking University have conducted a comprehensive systematic review on the integration of machine learning into statistical methods for disease risk prediction models, shedding light ...
BIOENGINEER

Machine Learning Maps the Exploding World of Epigenetic Epidemiology Research

Epigenetics has traveled a remarkable distance since the term first entered the scientific vocabulary more than 75 years ago. What began as an abstract question about how genes and their products ...
Phys.org

Machine learning method improves accuracy of inverse protein folding for drug design

An AI approach developed by researchers from the University of Sheffield and AstraZeneca, could make it easier to design proteins needed for new treatments. Inverse protein folding is a critical ...

Machine learning system can identify cancer cells based on how they scatter light

Cytological tests are a common method of screening for cancer cells in stained cell samples. Using a microscope, pathologists examine cells collected from bodily fluids, looking for telltale signs of ...
Growing Produce

Machine Learning on the Case to Help Protect Important Pollinators

Researchers have developed a machine learning-based method to identify chemical compounds that can safely repel honey bees from pesticide-treated crops.
Frontiers

Renewing Focus on Methodological Rigour in Clinical Machine Learning

Clinical machine learning is increasingly used for prediction, diagnosis, prognosis, risk stratification, and treatment-related decision support. These ...
StreetInsider.com

Python, Statistics, and Machine Learning: 5 Data Science Certificate Programs for Different Skill Levels

Data science brings several skills together. Python helps learners work with data programmatically, statistics provides a way to test assumptions and interpret uncertainty, and machine learning adds ...