Phase diagram map of ferroelectric properties unlocked with AI in seconds

Researchers from the Hong Kong University of Science and Technology (HKUST) and Tongji University have developed FerroAI, a ...

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 ...
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 ...
Frontiers

Predicting preoperative lymph node status in patients with cervical cancer: development of interpretable machine learning model and support for the biological plausibility

Department of Ultrasonic Medicine, Fetal Medical Centre, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China Background: Lymph node metastasis serves as a crucial ...
IEEE

Data Representation and Preprocessing Effects on S-Parameter Modeling of High-Speed Channels Using Machine Learning

Abstract: In this paper, the effects of data representations and preprocessing on machine learningbased S-parameter modeling of high-speed channels are investigated. Using a transformer network as a ...
CBSSports.com

NFL longshot picks, odds, player props, predictions: Model backing Travis Etienne Over 70 yards on MNF

The Jacksonville Jaguars are 3-1 heading into Monday Night Football. Running back Travis Etienne is finding success on the ground, and the SportsLine Machine Learning Model expects Etienne's solid ...
InfoQ

Dreamer 4: Learning to Achieve Goals from Offline Data through Imagination Training

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
IEEE

A Self-Adaptive Data Preprocessing Pipeline for Machine Learning: An Automated and Dynamic Approach

Abstract: The optimization and generalization of performance of a machine learning model is profoundly influenced by efficient data preprocessing. A machine's learning model does not perform to its ...