Nature

Machine learning articles from across Nature Portfolio

Researchers developed NiCLIP, an AI model that decodes cognitive tasks, concepts, and domains from brain activation patterns. Trained on over 23,000 papers, NiCLIP excels at group-level decoding, ...

[Part 3] What are Machine Learning, Neural Networks, and Deep Learning? Understanding How AI Learns for Beginners

Introduction: How does AI become smart?Hello, this is Nekko-sensei.In Part 2, we learned about the basic concepts and history ...
HUB

Machine learning method could speed path to cleaner energy solutions

The process of testing new solar cell technologies has traditionally been slow and costly, requiring multiple steps. Led by a fifth-year PhD student, a Johns Hopkins team has developed a machine ...
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 ...
TechRepublic

20+ Machine Learning Methods in Groundbreaking Periodic Table From MIT, Google, Microsoft

Find out how this structured machine learning roadmap called I-Con could lead to breakthroughs in AI. A new “periodic table for machine learning” is reshaping how researchers explore AI, unlocking ...
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 ...

What is Machine Learning that can be used in game development? | The learning method I use for CPU development

I think there are quite a few people who make games but have never really touched machine learning.At first, I also had a ...
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 ...
BIOENGINEER

Machine Learning Surrogates Predict Wing Aerodynamics and Stress in Seconds

Researchers built regressor chain surrogate models that predict pressure and stress fields across varied wing planforms with ...
American Physical Society

Advancing Physical Understanding with Interpretable Machine Learning

A new artificial neural-network architecture opens a window into the workings of a tool previously regarded as a black box. Since the Scientific Revolution, scientific progress has mostly been made by ...
The Daily Targum

U. associate professor receives $1.1 million grant to fund project on machine learning, ocean sustainability

Ahmed Ezzat, an associate professor in the Department of Industrial and Systems Engineering, was recently awarded a three-year $1.1 million grant to fund the creation of new AI and statistical machine ...
Michigan Technological University

Researchers Apply Machine Learning and AI in Search of Less Costly Electronic Structure Method

Electron density prediction for a four-million-atom aluminum system using machine learning, deemed to be infeasible using traditional DFT method. × Researchers from Michigan Tech and the University of ...