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 ...
EurekAlert!

Faster and more reliable crystal structure prediction of organic molecules

Crystal structure prediction (CSP) of organic molecules is a critical task, especially in pharmaceuticals and materials ...
Scientific Research Publishing

Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning ()

Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...
Scientific Research Publishing

Estimating Average and Heterogeneous Effects of Special Education: A Causal Machine Learning Perspective ()

Causal Machine Learning (CML) unites ML techniques with CI in order to take advantage of both approaches’ strengths. CML ...
Communications of the ACM

Shields for Safe Reinforcement Learning

Evaluating the advantages and potential drawbacks of shielding as a method for safe RL. Bettina Könighofer is an assistant ...
IEEE

Optimizing XGBoost Hyperparameters for Credit Scoring Classification Using Weighted Cognitive Avoidance Particle Swarm

Abstract: Decision trees in machine learning achieved satisfactory performance in classification. Decision trees offer the advantage of handling high-dimensional and complexly correlated data through ...
TheServerSide

Google Professional Machine Learning Engineer Certification Practice Exams

First, pick your designation of choice. In this case, it’s Google’s Professional Machine Learning Engineer certification. Then look up the exam objectives and make sure they match your career goals ...
IEEE

Meta-Learning Hyperparameters for Parameter Efficient Fine-Tuning

Abstract: Training large foundation models from scratch for domain-specific applications is almost impossible due to data limits and long-tailed distributions — taking remote sensing (RS) as an ...
Devdiscourse

Forecasting economy’s future: Shrinkage-based AI models deliver greater accuracy and stability

The study departs from conventional mean-based economic forecasting by focusing on quantile prediction, a technique that ...
C&EN

Practical Guidance for Training Machine Learning Models in Metabolomics and Mass Spectrometry Research

Department of Chemistry, Faculty of Science, University of British Columbia, Vancouver Campus, 2036 Main Mall, Vancouver, British Columbia V6T 1Z1, Canada Department of Electrical and Computer ...

Apple's research explains how AI can identify bugs in code and generate QE tests

New papers on Apple's machine learning blog detail how AI can be used for faster, cheaper, and more effective QE testing, as ...
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The Most Successful Machine Gun in the World

Taking the mantra of ""if it ain't broke, don't fix it"" to an extreme, the MG 3 machine gun has remained almost technologically unchanged going back to its inception during World War 2. The ...