What are Machine Learning and Deep Learning?

Machine learning is a mechanism where computers learn patterns from data instead of humans writing instructions step by step.

Differences between AI, Machine Learning, and Deep Learning | Generative AI Passport Chapter 1

AI, machine learning, and deep learning. These are all common terms, but many people find themselves at a loss when asked to ...
BIOENGINEER

New Boosting Method Learns Oblique Rules for Simpler, More Interpretable Models

Interpretable machine learning has long faced a stubborn trade-off: models simple enough for humans to understand often sacrifice accuracy, while highly accurate models become inscrutable thickets of ...
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 ...
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 ...
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 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 ...
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 ...
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 ...