Machine learning workflow enables faster, more reliable organic crystal structure prediction

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...

Conquer your storage challenges for generative AI success

Scalability challenges: Legacy systems are inflexible, unable to scale seamlessly as data volumes grow. They often require ...
InfoWorld

The best new features in Java 25

JDK 25 brings powerful new features to Java and JVM developers. Here are seven new or updated features that could convince ...
IEEE

Optimized Feature-Driven Dengue Diagnosis Using Explainable Machine Learning Approaches

Abstract: Dengue fever is a mosquito-borne viral infection that causes high fever, severe headache, muscle and joint pain, and skin rashes-often called “breakbone fever” due to its intense symptoms.
IEEE

Stability of Machine Learning Predictive Features Under Limited Data

Abstract: In a world where Machine Learning (ML) is increasingly used to make predictions about critical events, such as health outcomes, it is crucial to ensure decision-makers have access to ...
TheServerSide

AWS Machine Learning Certification Exam Dumps and Braindumps

If you want a structured and efficient way to prepare, the AWS ML Associate Exam Dump and AWS Machine Learning Sample Questions are designed to reinforce your knowledge through repetition and applied ...
Frontiers

CoMPHI: a novel composite machine learning approach utilizing multiple feature representation to predict hosts of bacteriophages

1 Strawberry Crest IB High School, Dover, FL, United States 2 Division of Allergy and Immunology, Department of Internal Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, ...
Frontiers

Retinal features as predictive indicators for high myopia: insights from explainable multi-machine learning models

Objectives: To investigate the role of retinal characteristics for high myopia (HM) prediction based on multi-machine learning (ML) and to provide an interpretable framework for the results. Methods: ...
C&EN

Classification of NaCl and CsCl Crystal Structures: Establishing an Integrated Didactic Approach for Machine Learning and Chemistry in Upper Secondary Education

© 2025 The Author. Published by American Chemical Society and Division of Chemical Education, Inc. Article Views are the COUNTER-compliant sum of full text article ...
primetimer

The Smashing Machine ending explained: Does Mark Kerr win his final fight in Japan?

Not many sports drama films capture the raw emotional intensity like Benny Safdie’s The Smashing Machine, which follows the true story of MMA legend Mark Kerr. Produced by A24 and starring Dwayne ...
PNAS

Machine learning in chemistry

The Perspective by Tiwary et al. (8) offers a comprehensive overview of generative AI methods in computational chemistry. Approaches that generate new outputs (e.g., inferring phase transitions) by ...